Logistics

Senior Lead AI Engineer (GenAI Platform, Agentic Infrastructure)

Senior Lead AI Engineer (GenAI Platform, Agentic Infrastructure) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Pimmit, VA

  • no content

Maintenance Technician

Description: The Stamping Machinery Maintenance Technician is responsible for maintaining, troubleshooting, and repairing large metal stamping presses and related production equipment in a fast-paced manufacturing environment. This role focuses on preventive maintenance, emergency repairs, and continuous equipment reliability while maintaining strict safety and quality standards. The technician will work with minimal supervision and collaborate closely with production teams to minimize downtime and support operational efficiency. Key Responsibilities Preventive Maintenance Perform routine inspections, lubrication, and maintenance on motors, drives, belts, pumps, conveyors, and stamping equipment Inspect fluid levels, replace filters, and identify wear or potential failures before breakdowns occur Troubleshooting, Repair and Documentation: Diagnose and repair mechanical, hydraulic, pneumatic, and electrical issues on large stamping presses ( tons) Repair machines and equipment using hand tools, power tools, precision measuring instruments, and electrical testing devices Access and remove defective parts using hoists, cranes, and other material-handling equipment Accurately document maintenance work, repairs, inspections, and preventive maintenance activities Safety & Compliance Must follow all company safety policies and procedures Adhere to OSHA requirements and ISO quality management standards during maintenance activities Collaboration & Support: Work closely with production and engineering teams to resolve equipment issues Assist with new machine installations and process improvements Respond quickly to equipment breakdowns to minimize production downtime Requirements: 2-4 years of previous experience in tool and die Strong mechanical and electrical aptitude Working knowledge of: Hydraulics and pneumatics Electrical systems and machine repair Technical manuals, schematics, and drawings Qualifications Preferred 2-3 years of maintenance experience in a manufacturing or industrial environment Experience with metal stamping equipment strongly preferred PLC controllers PIf33380a190bd-0759

  • Ixonia, WI

  • no content

Senior Lead Machine Learning Engineer

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You will bridge the gap between cutting-edge consumer personalization models and robust infrastructure engineering, leading your team to build intelligent, real-time digital experiences across Mobile, Web, and Email. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. About the team: Within Card Tech, the Customer Intelligent Decisions & Experiences (CIDX) team is building the next generation of large-scale, Reinforcement Learning-based recommender systems that will power personalized experiences across marketing, customer servicing, and digital products for millions of Card and MainStreet customers. We directly contribute reusable capabilities to a Capital One-wide Experimentation Platform, enabling users across the enterprise to leverage machine learning for a variety of use cases. What You’ll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor’s Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3 years of experience developing performant, resilient, and maintainable code 3 years of experience with data gathering and preparation for ML models 3 years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3 years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Pimmit, VA

  • no content

Senior Lead Machine Learning Engineer

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor’s Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3 years of experience developing performant, resilient, and maintainable code 3 years of experience with data gathering and preparation for ML models 3 years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3 years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Capitol, VA

  • no content

Maintenance Technician

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. Supports facilities staff by performing maintenance duties such as maintenance of office equipment, computer systems, electrical projects, and light construction. Works with outside contractors and vendors on facilities and equipment repairs. General Maintenance, Troubleshooting, and operations maintenance for all equipment used in facility Schedule: 2nd Shift : 2 pm -10:30 pm /Monday - Friday KEY RESPONSIBILITIES/ESSENTIAL FUNCTIONS Ability to measure voltage and current accurately and safely and to use this data to troubleshoot circuits Mechanical experience with aligning bearings, shafts and drives. Adjust tension of belts and chains. Develop an overall maintenance schedule based on the requirements of each device. Ability to analyze cards and chips and replace if necessary. Troubleshoot network systems. Troubleshoot cabling and I/O devices. Configure and troubleshoot IBM compatible computers. MEASUREMENTS Understand and utilize "I2CARE" principles to communicate at all levels within the organization (I2CARE is: Integrity, Inclusion, Customer-First, Accountability, Respect, Excellence.) Improve quality and efficiency on the production floor QUALIFICATIONS FOR THE POSITION Education/Training 1 year facilities engineering experience High school Diploma and Equivalent Specialized Knowledge/Skills Electrical: Ability to measure voltage and current accurately and safely and to use this data to troubleshoot circuits. Trained to work with 460,220,120 VAC and 24 volt DC circuits. Knowledge and understanding of motor starting circuits and power distribution circuits. Ability to read electrical schematics and evaluate operations based on these schematics. Ability to read ladder logic, download and upload PLC programs, and troubleshoot PLC functions. Ability to work with control circuits using such devices as: photoeyes, solenoid valves, limit switches, indicating lights and safety switches. Mechanical: Align bearings, shafts, and drives. Adjust tensions of belts and chains. Ability to identify worn or damaged parts and to replace them. Develop an overall maintenance schedule based on the requirements of each device. Lubricate, oil, and clean devices as specified in their maintenance manuals. Work with pneumatic circuits involving cylinders and solenoid valves. * Maintain printers. Computer: Analyze cards and chips and replace if necessary. Troubleshoot network (ethernet) systems. Troubleshoot cabling and I/O devices. Ability to setup and analyze RS232/RS422 communications between computers or computers and peripheral devices. Expected Competencies Discretionary, decisive, and organized thinking regarding best practices Self-motivated and self-directed Extreme attention to detail Flexible to meet changing business demands and situations Understand and promote ICARE principles Excellent oral and written communication skills; experience with customers, employees, McKesson network, and suppliers WORKING CONDITIONS Environment (e.g., office, manufacturing, warehouse) Production environment Closely monitored and legally compliant regulations Physical Requirements (e.g., lifting, standing for extended periods, climbing) · 100% standing, bending, lifting, and climbing We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $24.59 - $40.99 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: careers.mckesson.com . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) [email protected] or (Canada) [email protected] . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

  • South Cheektowaga, NY

  • no content

Maintenance Technician

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. Location: 260 Logistics Avenue, Jeffersonville, IN Shift: Monday to Friday from 2:00 PM- 10:30 PM Job Summary The Maintenance Technician is responsible for maintaining, troubleshooting, and repairing facility and production equipment to ensure safe, reliable operations. This role involves hands-on electrical, mechanical, and computer-related work, as well as coordination with vendors and contractors. Key Responsibilities Troubleshoot and repair electrical, mechanical, and pneumatic systems Safely work with 460V, 220V, 120VAC, and 24VDC circuits Maintain motors, belts, chains, bearings, and drives Read and interpret electrical schematics, ladder logic, and PLCs Perform preventive maintenance and equipment inspections Troubleshoot network cabling, I/O devices, and PC-based systems Support continuous improvement on the production floor Communicate effectively using I2CARE values. Qualifications High school diploma or equivalent 1 year experience in facilities or industrial maintenance Strong electrical and mechanical troubleshooting skills Basic PLC, controls, and computer/network experience preferred Self-motivated, detail-oriented, and safety-focused. Physical Requirements Standing, bending, lifting, and climbing throughout the shift. LI-JT2 We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $23.36 - $38.94 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: careers.mckesson.com . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) [email protected] or (Canada) [email protected] . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

  • Watson, IN

  • no content

Manager, Data Analytics

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work. Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role. Key Responsibilities Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen Minimum Requirement Degree or equivalent and typically requires 7 years of relevant experience. Education Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field Critical Skills 7 years in analytics, business intelligence, or a similar role. Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker) Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience Solid understanding of data modeling and BI best practices Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Additional Skills Experience replacing or modernizing RPA automations Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Background in healthcare, pharma, or distribution This role is a hybrid position . The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week , with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $114,200 - $190,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: careers.mckesson.com . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) [email protected] or (Canada) [email protected] . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

  • Oak Ridge North, TX

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Certified Surgical Technologist (CST)

Full-time, 40 Hours/Week Monday to Friday, days 7am-3:30pm plus Every other weekend 7am - 3:30p.m. on call required Onsite $10,000 Sign on bonus [available] taxable Summary: Certified surgical technologists are responsible for preparing the operating room, including but not limited to, the sterile field, setting up surgical equipment, supplies, etc. During surgery, the certified surgical technologists contribute to patient care by assisting the surgeon with instrumentation, supplies, specimens, and control of the sterile, surgical field. They are instrumental in preventing foreign retained objects. (Association of Surgical Technologists, 2022). Responsibilities: 1. Responsible for scrubbing on all major and minor surgical procedures as assigned. 2. Participates with patient assessments while planning, implementing, and evaluating patient care. 3. Performs circulating duties under direct supervision of a Registered Nurse to provide care and safety to all patients. 4. Responsible for maintaining operating room suite supplies, pulling procedures, assisting with continuing education, precepting, and orientation of all staff. 5. Demonstrates the knowledge and skills necessary to provide care for the physical, psych/social, educational, and safety needs of the patients served regardless of age. 6. Participates in various hospital activities as appropriate and as directed by the Manager 7. Other duties as required. Other information: Technical Expertise 1. Experience in pediatric surgery is preferred. 2. Experience working with all levels within an organization is preferred. 3. Experience in healthcare is preferred. 4. Proficiency in MS Office [Outlook, Excel, Word] or similar software is required. Education and Experience 1. Education: High School Diploma or equivalent is required; graduate from an accredited Surgical Technologist program is required. 2. Certification: Certified Surgical Technician (CST) and Basic Life Support (BLS) are required. 3. Years of relevant experience: 0 to 2 years is preferred. Full Time FTE: 1.000000 Status: Onsite

  • North Hill, OH

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CRNA – Pediatric Anesthesia Services

Summary: This position will collaborate closely with pediatric surgeons, anesthesiologists, and other healthcare providers to assess, plan, and administer anesthesia that is tailored to the unique physiological needs of pediatric patients. This includes conducting comprehensive pre-anesthetic evaluations, discussing anesthesia options with patients' families, and providing age-appropriate education and reassurance to both the patient and their caregivers. Responsibilities: Conduct thorough pre-anesthetic evaluations, including reviewing the patient's medical history, laboratory results, and current medications. Assess and identify any potential anesthesia risks or complications, discuss anesthesia options with patients, develop individualized anesthesia care plans and obtain informed consent Administer a variety of anesthetic techniques, including general, regional, and local anesthesia, as well as sedation, perform spinal, epidural, and peripheral nerve blocks. Induce and maintain anesthesia during surgical, therapeutic, diagnostic, and obstetrical procedures. Monitor the patient's physiological responses to anesthesia and adjust anesthetic levels accordingly to ensure safety and comfort. Implement rapid sequence intubation (RSI) and manage difficult airways when necessary. Provide post-anesthesia care, ensuring safe emergence from anesthesia, manage post-operative conditions. Respond to code situations and provide emergency airway management, vascular access, and resuscitative efforts as part of the code team. Educate patients and their families on the anesthesia process, potential risks, and post-operative care instructions, and provide guidance on recovery expectations, managing post-operative pain, and warning signs for complications. Collaborate with anesthesiologists, surgeons, and other healthcare professionals to ensure seamless perioperative care. Participate in teaching and mentoring nurse anesthesia students, residents, or newly hired CRNAs. Other information: Education and Experience: o Education: Master's degree in related field is required; Doctorate degree is preferred. o Certification: Registered Nurse licensure, CRNA certification, Council on Certification of Nurse Anesthetists certification, BLS, PALS, and ACLS certification is required. o Years of relevant experience: 0 to 2 years is preferred. Full Time FTE: 1.000000 Status: Onsite

  • North Hill, OH

  • no content

Certified Registered Nurse Anesthetist

Summary: This position will collaborate closely with pediatric surgeons, anesthesiologists, and other healthcare providers to assess, plan, and administer anesthesia that is tailored to the unique physiological needs of pediatric patients. This includes conducting comprehensive pre-anesthetic evaluations, discussing anesthesia options with patients' families, and providing age-appropriate education and reassurance to both the patient and their caregivers. Responsibilities: Conduct thorough pre-anesthetic evaluations, including reviewing the patient's medical history, laboratory results, and current medications. Assess and identify any potential anesthesia risks or complications, discuss anesthesia options with patients, develop individualized anesthesia care plans and obtain informed consent Administer a variety of anesthetic techniques, including general, regional, and local anesthesia, as well as sedation, perform spinal, epidural, and peripheral nerve blocks. Induce and maintain anesthesia during surgical, therapeutic, diagnostic, and obstetrical procedures. Monitor the patient's physiological responses to anesthesia and adjust anesthetic levels accordingly to ensure safety and comfort. Implement rapid sequence intubation (RSI) and manage difficult airways when necessary. Provide post-anesthesia care, ensuring safe emergence from anesthesia, manage post-operative conditions. Respond to code situations and provide emergency airway management, vascular access, and resuscitative efforts as part of the code team. Educate patients and their families on the anesthesia process, potential risks, and post-operative care instructions, and provide guidance on recovery expectations, managing post-operative pain, and warning signs for complications. Collaborate with anesthesiologists, surgeons, and other healthcare professionals to ensure seamless perioperative care. Participate in teaching and mentoring nurse anesthesia students, residents, or newly hired CRNAs. Other information: Education and Experience: o Education: Master's degree in related field is required; Doctorate degree is preferred. o Certification: Registered Nurse licensure, CRNA certification, Council on Certification of Nurse Anesthetists certification, BLS, PALS, and ACLS certification is required. o Years of relevant experience: 0 to 2 years is preferred. Full Time FTE: 1.000000 Status: Onsite

  • North Hill, OH

  • no content

Certified Registered Nurse Anesthetist (CRNA) – Perioperative Care

Summary: This position will collaborate closely with pediatric surgeons, anesthesiologists, and other healthcare providers to assess, plan, and administer anesthesia that is tailored to the unique physiological needs of pediatric patients. This includes conducting comprehensive pre-anesthetic evaluations, discussing anesthesia options with patients' families, and providing age-appropriate education and reassurance to both the patient and their caregivers. Responsibilities: Conduct thorough pre-anesthetic evaluations, including reviewing the patient's medical history, laboratory results, and current medications. Assess and identify any potential anesthesia risks or complications, discuss anesthesia options with patients, develop individualized anesthesia care plans and obtain informed consent Administer a variety of anesthetic techniques, including general, regional, and local anesthesia, as well as sedation, perform spinal, epidural, and peripheral nerve blocks. Induce and maintain anesthesia during surgical, therapeutic, diagnostic, and obstetrical procedures. Monitor the patient's physiological responses to anesthesia and adjust anesthetic levels accordingly to ensure safety and comfort. Implement rapid sequence intubation (RSI) and manage difficult airways when necessary. Provide post-anesthesia care, ensuring safe emergence from anesthesia, manage post-operative conditions. Respond to code situations and provide emergency airway management, vascular access, and resuscitative efforts as part of the code team. Educate patients and their families on the anesthesia process, potential risks, and post-operative care instructions, and provide guidance on recovery expectations, managing post-operative pain, and warning signs for complications. Collaborate with anesthesiologists, surgeons, and other healthcare professionals to ensure seamless perioperative care. Participate in teaching and mentoring nurse anesthesia students, residents, or newly hired CRNAs. Other information: Education and Experience: o Education: Master's degree in related field is required; Doctorate degree is preferred. o Certification: Registered Nurse licensure, CRNA certification, Council on Certification of Nurse Anesthetists certification, BLS, PALS, and ACLS certification is required. o Years of relevant experience: 0 to 2 years is preferred. Full Time FTE: 1.000000 Status: Onsite

  • North Hill, OH

  • no content

Pediatric Nurse Anesthetist (CRNA)

Summary: This position will collaborate closely with pediatric surgeons, anesthesiologists, and other healthcare providers to assess, plan, and administer anesthesia that is tailored to the unique physiological needs of pediatric patients. This includes conducting comprehensive pre-anesthetic evaluations, discussing anesthesia options with patients' families, and providing age-appropriate education and reassurance to both the patient and their caregivers. Responsibilities: Conduct thorough pre-anesthetic evaluations, including reviewing the patient's medical history, laboratory results, and current medications. Assess and identify any potential anesthesia risks or complications, discuss anesthesia options with patients, develop individualized anesthesia care plans and obtain informed consent Administer a variety of anesthetic techniques, including general, regional, and local anesthesia, as well as sedation, perform spinal, epidural, and peripheral nerve blocks. Induce and maintain anesthesia during surgical, therapeutic, diagnostic, and obstetrical procedures. Monitor the patient's physiological responses to anesthesia and adjust anesthetic levels accordingly to ensure safety and comfort. Implement rapid sequence intubation (RSI) and manage difficult airways when necessary. Provide post-anesthesia care, ensuring safe emergence from anesthesia, manage post-operative conditions. Respond to code situations and provide emergency airway management, vascular access, and resuscitative efforts as part of the code team. Educate patients and their families on the anesthesia process, potential risks, and post-operative care instructions, and provide guidance on recovery expectations, managing post-operative pain, and warning signs for complications. Collaborate with anesthesiologists, surgeons, and other healthcare professionals to ensure seamless perioperative care. Participate in teaching and mentoring nurse anesthesia students, residents, or newly hired CRNAs. Other information: Education and Experience: o Education: Master's degree in related field is required; Doctorate degree is preferred. o Certification: Registered Nurse licensure, CRNA certification, Council on Certification of Nurse Anesthetists certification, BLS, PALS, and ACLS certification is required. o Years of relevant experience: 0 to 2 years is preferred. Full Time FTE: 1.000000 Status: Onsite

  • North Hill, OH

  • no content