Senior Data & ML Ops Engineer

Work Location:

Boston, Massachusetts

Shift:  Department:  HC-NA-IDA Analytics Engineering & BI Architecture Recruiter:  Troy Bradley This information is for internals only. Please do not share outside of the organization.

Your Role At EMD Serono, data, analytics, and AI are core to how we bring innovative medicines to patients faster. As a Senior Data & MLOps Engineer, you own the data and MLOps foundations - from ingestion to production - collaborating with Data Science, Commercial, Medical, Analytics, and IT to turn prototypes into scalable, governed solutions.

Key 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.

This will be a hybrid role - in office 3 days per week/2 days per week work from home.

Who You Are

Minimum Qualifications 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 Cloud Formation and Azure Dev Ops.

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 with 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, Sage Maker, 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)
Nice to haveAWS certifications - AWS Certified Dev Ops Engineer Professional; AWS Certified Data Engineer

Experience with Tableau, Power BI, or other BI tools for data visualization and reporting.

Pay Range for this position: $137,The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other prequisites.

For more information .
The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or…