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Urgent! Sr. Machine Learning Operations Engineer Jobs | McKesson Pharmacy Automation

Sr. Machine Learning Operations Engineer

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Job description

Sr. Machine Learning Operations Engineer

Join to apply for the Sr. Machine Learning Operations Engineer role at McKesson Pharmacy Automation

Sr. Machine Learning Operations Engineer

3 days ago Be among the first 25 applicants

Join to apply for the Sr. Machine Learning Operations Engineer role at McKesson Pharmacy Automation

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.

Are you ready to lead the charge in transforming enterprise AI initiatives?

As a Senior Machine Learning Operations Engineer at McKesson, you'll be at the forefront of our big bet AI projects, harnessing the power of machine learning to drive innovation across the organization.

You'll take the helm in the full project lifecycle, focusing on deploying and managing solutions within our MLOps enterprise platform.

In this role, you will be part of a dynamic team dedicated to crafting robust machine learning applications at scale.

Your expertise will guide the detailed technical design, development, and implementation of state-of-the-art ML solutions.

You'll not only design and review model architectures but also ensure the seamless integration and performance of these applications.

If you're passionate about pushing the boundaries of what's possible with AI, this position offers a playground of opportunities.

What You’ll Do

  1. End-to-End ML Engineering : Engage in a wide array of ML engineering activities, from Ops and Modeling to Data Engineering, ensuring a comprehensive approach to enterprise solutions.

  2. Innovative Model Design : Collaborate with business leadership and Data Science teams to design, build, and deliver ML models that tackle real-world business challenges.

  3. Strategic Infrastructure Decisions : Utilize your deep understanding of ML techniques to inform infrastructure choices, considering model types, data selection, hyperparameter tuning, and validation.

  4. Complex Problem Solving : Write and test application code, develop and validate ML models, and automate testing and deployment processes to tackle complex problems.

  5. Model Management : Retrain, maintain, and monitor models in production, ensuring they perform optimally and adapt to changing data landscapes.

  6. Cloud-Based Optimization : Leverage cloud-based architectures to deliver scalable and efficient ML models.

  7. Data Pipeline Construction : Develop optimized data pipelines to support ML models with high-quality data in collaboration with data engineering.

  8. CI/CD Excellence : Implement continuous integration and deployment best practices, including test automation and monitoring, to ensure successful model deployments.

  9. Governance and Best Practices : Manage code to minimize vulnerabilities, govern models from a risk perspective, and adhere to Responsible and Explainable AI principles.

  10. Programming Proficiency : Utilize Python, Rust, C++ to develop high-quality, maintainable code.

Basic Qualifications

  • 7+ years industry experience
  • 4+ years programming experience with Python; Rust and C++ are a plus
  • 3+ years designing and building data-intensive solutions with distributed computing
  • 2+ years with industry-recognized ML frameworks (scikit-learn, PyTorch, TensorFlow, Spark, Ray)
  • 1+ year productionizing, monitoring, and maintaining models
  • Bachelor's degree or equivalent work experience

Preferred Qualifications

  • 1+ years building, scaling, and optimizing ML systems
  • 1+ years in data gathering and preparation for ML models
  • 2+ years developing performant, resilient, and maintainable code
  • Experience with Azure for developing, deploying, and monitoring ML solutions
  • Advanced degree in computer science, electrical engineering, mathematics, or related field
  • 3+ years with distributed file systems or multi-node database paradigms
  • 3+ years building production-ready data pipelines for ML models
  • Experience with Terraform and DevOps principles, including CI/CD pipelines

Join us at McKesson, where your expertise will shape the future of enterprise AI!

We care about the well-being of the patients and communities we serve, supporting our employees with comprehensive benefits for physical, mental, and financial well-being.

Our Total Rewards package is competitive and tailored to diverse needs, including base pay, bonuses, and incentives.

Base Pay Range: €69,000 - €115,000

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering and Information Technology

Industries

  • Pharmaceutical Manufacturing

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Required Skill Profession

Software Development


Job Expired.


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