Senior Data & ML Ops Engineer
Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Aug 15, 2026. EMD Group scores B on the Alion truth index.
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 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 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, 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)
- Nice to have
- AWS certifications - AWS Certified DevOps 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: $137,800 - 206,600
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 click here.
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 veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.