Senior Data & ML Ops Engineer

About Us

At EMD Serono, our colleagues across the globe innovate with science and technology to enrich people’s lives through solutions in Healthcare, Life Science, and Electronics. We dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. In Healthcare, our purpose is to help create, improve, and prolong lives by developing medicines, intelligent devices, and innovative technologies in therapeutic areas such as Oncology, Neurology, and Fertility. Our diverse, inclusive, and flexible working culture offers great opportunities for personal development and career advancement.

About the Role

As a Senior Data & MLOps Engineer, you will own the data and MLOps foundations—from ingestion to production—collaborating with Data Science, Commercial, Medical, Analytics, and IT teams to turn prototypes into scalable, governed solutions. This is a hybrid role requiring in-office presence 3 days per week and remote work 2 days per week.

Responsibilities

• Build, maintain, and troubleshoot scalable data pipelines, ETL/ELT workflows, derived tables, curated datasets, and feature-ready data assets using SQL and Python.
• Deploy and operationalize machine learning, advanced analytics, and generative AI solutions through automated deployment, monitoring, and operational workflows.
• Enable GenAI use cases involving embeddings, vector databases, retrieval-augmented generation, prompt management, and evaluation workflows.
• Establish reusable engineering patterns, CI/CD practices, testing frameworks, documentation, and governance standards for data and ML solutions.
• Apply data privacy, security, quality, lineage, access control, and compliance standards appropriate for healthcare and pharmaceutical data.

Requirements

• Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent work experience.
• 4+ years of experience in data engineering, MLOps, machine learning engineering, software engineering, cloud engineering, or related technical roles.
• Hands-on experience building production data pipelines, ETL/ELT workflows, derived tables, curated datasets, or feature-ready data assets.
• Experience deploying or operationalizing machine learning models, advanced analytics workflows, or AI-enabled solutions.
• Advanced SQL, Python, and shell scripting.
• Proven track record of architecting, deploying, and maintaining complex projects in a diverse ecosystem of AWS services.
• Experience with AWS automation through CloudFormation and Azure DevOps.
• Experience with Git, CI/CD, containerization, and production software engineering practices, including troubleshooting build failures.
• Familiarity with model monitoring, model versioning, experiment tracking, testing, and deployment automation.
• Experience designing proactive alerting and monitoring workflows for workloads running on AWS services.
• Strong communicator who works independently and collaborates effectively across technical and business stakeholders.

Preferred Qualifications

• 7+ years of experience across data engineering, MLOps, ML engineering, analytics engineering, or software engineering.
• Experience in pharmaceutical, biotechnology, healthcare, or life sciences environments and datasets such as claims, EMR/EHR, patient services, customer engagement, field activity, marketing, or sales data.
• Experience with Snowflake, dbt, Airflow, IICS or equivalent ETL/orchestration tools, parquet files, and large-scale data processing patterns.
• Experience with AWS ML/data services, MLflow, SageMaker, Kubeflow, Docker, Kubernetes, or Terraform.
• Experience implementing data quality checks, data observability, lineage, pipeline monitoring, model monitoring, drift detection, batch inference, real-time inference, or automated retraining.
• Hands-on experience with GenAI applications (RAG, vector databases, LLM evaluation).
• AWS certifications (e.g., AWS Certified DevOps Engineer Professional, AWS Certified Data Engineer).
• Experience with Tableau, Power BI, or other BI tools for data visualization and reporting.

Pay

The pay range for this position is $137,800 - $206,600. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. The position may also be eligible for sales or performance-based bonuses.

Benefits

• Health insurance
• Paid time off (PTO)
• Retirement contributions
• Other perquisites

We foster a culture of inclusion and belonging, offering opportunities for personal development and career growth. Join us in building a diverse and flexible working environment that empowers everyone to work their magic and champion human progress.