PD Senior Engineer – Model Lifecycle, Sustainability and MLOps, Pharmaceutical Product Development
Bristol Myers SquibbResponsibilities
- Develop and implement MLOps frameworks, standards, best practices, and reusable workflows with IT and data science teams.
- Deploy and operationalize machine learning, statistical, and other data-driven models within the PD Model Hub.
- Build end-to-end lifecycle processes for model validation, deployment, monitoring, retraining, versioning, continuous improvement, and retirement.
- Design model sustainability approaches for discoverability, reproducibility, governance, lineage, metadata capture, and reuse.
- Develop observability, alerting, and remediation strategies for model performance, data drift, model drift, and infrastructure health.
- Translate scientific and technical needs into scalable platform capabilities, standards, and adoption roadmaps while aligning cross-functional stakeholders.
Requirements
- Bachelor-level degree in Computer Science, Engineering, Statistics, Data Science, or a related discipline.
- At least 4 years of industry experience with MLOps practices, including versioning, governance, experiment tracking, model registries, observability, automated testing, and deployment workflows.
- Hands-on experience with Databricks, AWS, MLflow, Docker, Kubernetes, GitHub Actions, Azure DevOps, Lakehouse Monitoring, and Evidently AI.
- Strong expertise in Python and PySpark, with knowledge of machine learning using scikit-learn and PyTorch.
- Hands-on experience analyzing data drift and model drift, including baseline design, metric selection, thresholding, root-cause analysis, and remediation decisions.
- Demonstrated experience deploying, operating, monitoring, and maintaining production machine learning solutions across multiple lifecycle stages.
- Ability to develop scalable platform capabilities and communicate effectively with scientists, engineers, product teams, and governance partners.
- Preferred qualifications include knowledge of model risk management, validation, change control, data integrity, privacy, security, responsible AI, GenAI, AI agents, LLM-powered workflows, evaluation frameworks, and human-in-the-loop controls.
Benefits
- Bristol Myers Squibb offers comprehensive benefits, growth opportunities, a supportive inclusive environment, wellbeing support, and workplace accommodations.
- The role follows one of BMS’s work models—site-essential, site-by-design, field-based, or remote-by-design—based on its core responsibilities.
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About Bristol Myers Squibb
At Bristol Myers Squibb, we work every day to transform patients’ lives through science. That work inspires some of the most interesting, meaningful, and life-changing careers you’ll experience. Join us and pursue innovative ideas alongside some of the brightest minds in biopharma, collaborating with a team rich in diversity of experiences, and perspectives. We have built a sustainable pipeline of potential therapies and are leveraging translational medicine and data analytics to understand how we can deliver the right medicine to the right patient, at the right time, to achieve the best outcome. Whether in a scientific, business or supporting function, a career at BMS means you’ll be inspired every day to grow and thrive through opportunities that are uncommon in scale and scope. Here, you’ll be on the cutting edge of powerful innovation in oncology, hematology, immunology, cardiovascular disease, and fibrosis, with colleagues united in the mission to help patients. Through the Bristol Myers Squibb Foundation, we also promote health equity and seek to improve health outcomes of populations disproportionately affected by serious diseases and conditions. Our mission is to give new hope to help patients prevail over serious disease – it drives everything we do. Review our Social Media Community Guidelines at: https://www.bms.com/social-media-community-guidelines.html