Sr. Machine Learning Ops Engineer
Share
Job Location:
Mississauga - Canada
Monthly Salary:
$ 99100 - 132100
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
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 tomorrows health today we want to hear from you.
Job Title
Senior MLOps Engineer
This position follows our Flex & Connect model of 2x per week onsite in Mississauga ON.
Summary
Join McKessons growing AI/ML team and play a critical role in operationalizing machine learning and Generative AI solutions at scale. This role focuses on deploying standardizing and maintaining production-ready ML and agentic AI systemsenabling consistent reliable and optimized delivery of data science innovations that support McKessons AIM28 strategic initiatives.
What Youll Do
- Lead deployment and operationalization of ML models and GenAI/agentic solutions ensuring scalability reliability and performance
- Partner with Data Scientists to identify and automate high-impact model use cases building end-to-end pipelines (CI/CD monitoring alerting)
- Define and enforce standardized deployment patterns and runbooks across teams
- Own KTLO (keep-the-lights-on) operations for ML and GenAI systems including health monitoring logging and performance tracking
- Design and implement pipelines for batch real-time and event-driven inference
- Establish observability frameworks (monitoring logging lineage alerting)
- Enable deployment of agentic AI solutions using tools such as LangChain LangGraph Semantic Kernel and Databricks tools
- Ensure secure deployment of applications with proper access controls (e.g. Okta integration)
- Drive cost and performance optimization across ML and GenAI workloads
- Partner with architecture compliance governance and legal teams to meet enterprise standards
- Conduct ongoing research into emerging tools and technologies to improve deployment practices
- Guide and influence architectural decisions while maintaining clear separation between platform and deployment ownership
What You Bring
- Strong experience deploying ML models into production environments
- Hands-on expertise with CI/CD pipelines monitoring and production ML systems
- Experience with GenAI or agentic AI frameworks (LangChain Semantic Kernel etc.)
- Knowledge of model observability drift detection and operational support
- Experience working in scaling or early-stage ML environments
- Proficiency with cloud platforms (AWS Azure or GCP)
- Strong cross-functional collaboration skills (Data Science Product Architecture)
- Ability to drive standardization automation and platform maturity
- Focus on reliability scalability and optimization
Minimum Requirements
- Degree or equivalent and typically requires 7 years of relevant experience.
Preferable Skills & Experience
- Experience with Databricks ecosystem (e.g. Databricks Genie)
- Familiarity with LangChain LangGraph or Microsoft Semantic Kernel
- Exposure to GenAI cost optimization / FinOps practices
- Experience implementing secure enterprise applications (e.g. Okta)
- Experience in healthcare or regulated environments
- Experience scaling ML/AI capabilities from experimentation to production maturity
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 McKessons 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 pleaseclick here.
Our Base Pay Range for this position
$99100 - $132100McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKessons (or affiliated entities like CoverMyMeds or RxCrossroads) name in fraudulent emails job postings or social media 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: .
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 McKessons 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) or (Canada) . Resumes or CVs submitted to this email box will not be accepted.
Join us at McKesson!
Required Experience:
Senior IC
About Company
McKesson is the leading healthcare company for wholesale medical supplies & equipment, pharmaceutical distribution, and healthcare technology solutions. McKesson is the central nervous system of health care. At any given moment, in any given minute, we simultaneously execute thousands ... View more
