Time since we first saw it
Day 18
Similar jobs usually come down between day 8 and day 76.
At McKesson, jobs usually come down by about day 31.
From 5,460 similar postings that came down, and 185 of McKesson’s. Coming down is not always a hire.
Senior AI/ML Ops Specialist , RAIB
Mississauga, Ontario, Canada
Live, first seen by us 18 days ago- Pay
$99,100–132,100/year · BaseAnnual period assumed — pay source
Our Base Pay Range for this position $99,100 - $132,100 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:
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingAt McKesson, we are advancing healthcare through trusted, scalable, and responsible AI solutions.
You will partner with cross-functional stakeholders to build high-quality AI systems that are secure, reliable, explainable, and aligned with business and regulatory requirements while helping shape McKesson's AI engineering standards.
Lead design, testing, and deployment of ML and GenAI solutions in Python
Review and challenge models built by internal and external teams
Run fairness, bias, and explainability assessments using Fairlearn, AIF360, SHAP, and LIME
Lead GenAI safety tests: red teaming, hallucination, toxicity, and guardrails
Implement model monitoring, drift detection, and AI risk controls in production
From the employer’s posting
At McKesson, we are advancing healthcare through trusted, scalable, and responsible AI solutions. We are seeking a Sr. AI/ML Ops Specialist, RAIB to lead the development, evaluation, governance, and operationalization of machine learning and Generative AI solutions. This role combines deep technical expertise in ML engineering with a strong focus on Responsible AI practices, model governance, AI risk management, explainability, and production-scale deployment.
You will partner with cross-functional stakeholders to build high-quality AI systems that are secure, reliable, explainable, and aligned with business and regulatory requirements while helping shape McKesson's AI engineering standards.
Lead the design, development, testing, and deployment of machine learning and Generative AI solutions using Python and modern ML frameworks.
Review, validate, and challenge models developed by internal and external teams to ensure quality, performance, and risk compliance.
Conduct fairness, bias, and disparate impact assessments using tools such as Fairlearn and AIF360.
Lead AI safety and GenAI evaluation activities, including red teaming, hallucination testing, toxicity assessment, and guardrail validation.
Implement model monitoring, drift detection, observability, and AI risk controls within production environments.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 26, 202618 days ago
- Recorded sightings
- 37
- Last seen by us
- Nov 14, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
McKesson is hiring
45 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 2% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- Azure
- PyTorch
- scikit-learn
Where the posting names them
What You'll Do ● Lead the design, development, testing, and deployment of machine learning and Generative AI solutions using Python and modern ML frameworks. ● Review, validate, and challenge models developed by internal and external teams to ensure quality, performance, and risk compliance.
● Bachelor's degree in computer science, Engineering, Data Science, Mathematics, or a related technical field, or equivalent experience. ● Experience with Python, as well as CI/CD and CLI/scripting tools ● Experience deploying classical machine learning models solving classification, regression, and time series forecasting problems
● Experience deploying classical machine learning models solving classification, regression, and time series forecasting problems ● Experience in managing ML infrastructure at scale in a cloud provider such as Azure (preferred) or AWS programmatically with infrastructure as code ● Hands-on experience with machine learning frameworks such as PyTorch and scikit-learn.
● Experience in managing ML infrastructure at scale in a cloud provider such as Azure (preferred) or AWS programmatically with infrastructure as code ● Hands-on experience with machine learning frameworks such as PyTorch and scikit-learn. ● Experience building and deploying ML models and data pipelines in production environments.
Your next step
Complete your application on careers.mckesson.com. The employer’s form will show what is required.
Applying through Radancy (TalentBrew)
- Radancy (TalentBrew) runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Already applied? Track this application
Has McKesson posted this job before?
Yes. We’ve followed one other Senior AI/ML Ops Specialist , RAIB job there since October 2026. It is still up.
About McKesson
- People
- About 43,000 in 2026, down 4% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as MCK.
- H-1B visas
- 47 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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.
About the Role
At McKesson, we are advancing healthcare through trusted, scalable, and responsible AI solutions. We are seeking a Sr. AI/ML Ops Specialist, RAIB to lead the development, evaluation, governance, and operationalization of machine learning and Generative AI solutions. This role combines deep technical expertise in ML engineering with a strong focus on Responsible AI practices, model governance, AI risk management, explainability, and production-scale deployment.
You will partner with cross-functional stakeholders to build high-quality AI systems that are secure, reliable, explainable, and aligned with business and regulatory requirements while helping shape McKesson's AI engineering standards.
What You'll Do
● Lead the design, development, testing, and deployment of machine learning and Generative AI solutions using Python and modern ML frameworks.
● Review, validate, and challenge models developed by internal and external teams to ensure quality, performance, and risk compliance.
● Establish model evaluation frameworks for predictive models, LLMs, and GenAI applications.
● Conduct fairness, bias, and disparate impact assessments using tools such as Fairlearn and AIF360.
● Develop explainability and interpretability capabilities using SHAP, LIME, model cards, and documentation standards.
● Lead AI safety and GenAI evaluation activities, including red teaming, hallucination testing, toxicity assessment, and guardrail validation.
● Implement model monitoring, drift detection, observability, and AI risk controls within production environments.
● Partner with engineering, product, security, and governance teams to drive AI best practices, innovation, and operational excellence.
Basic Requirements
● 7+ years of experience designing, developing, deploying, and supporting production machine learning solutions.
● Bachelor's degree in computer science, Engineering, Data Science, Mathematics, or a related technical field, or equivalent experience.
● Experience with Python, as well as CI/CD and CLI/scripting tools
● Experience deploying classical machine learning models solving classification, regression, and time series forecasting problems
● Experience in managing ML infrastructure at scale in a cloud provider such as Azure (preferred) or AWS programmatically with infrastructure as code
● Hands-on experience with machine learning frameworks such as PyTorch and scikit-learn.
● Experience building and deploying ML models and data pipelines in production environments.
● Knowledge of model evaluation, validation, and performance measurement techniques.
● Demonstrated experience collaborating across technical and business teams to deliver complex AI initiatives.
Preferred Skills/Experience
● Experience evaluating and governing Large Language Models (LLMs) and Generative AI applications.
● Hands-on expertise with Fairlearn, AIF360, SHAP, and LIME.
● Experience with AI explainability, transparency, and model documentation practices.
● Knowledge of AI safety testing, red teaming, hallucination detection, toxicity monitoring, and guardrail implementation.
● Experience with model observability, drift detection, AI monitoring platforms, and MLOps tooling.
● Familiarity with Responsible AI frameworks and standards such as NIST AI RMF, ISO 42001, or comparable governance frameworks.
● Experience establishing AI risk management controls and audit-ready governance processes.
● Proven ability to mentor engineers, drive technical standards, and influence enterprise AI strategy.
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
$99,100 - $132,100McKesson 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) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.
Join us at McKesson!
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Our Base Pay Range for this position $99,100 - $132,100 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:
- Location & working pattern
Mississauga, Ontario, Canada
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.