Sr. Scientist - AI/ML Governance & Operations

Amgen Technology; Hyderabad; On-site; INR 2,000,000 - 3,200,000; Full time

Job summary

Amgen Technology is seeking a Sr. Scientist AI/ML Governance Operations in Large Molecule Discovery Informatics to establish standards and governance practices for scaling AI across LMD.

You will collaborate with scientists and engineers to ensure reproducible, secure, and compliant AI assets, ML code, and model artifacts, bridging scientific innovation with operational rigor.

Qualifications

• Doctorate degree PhD or equivalent with strong domain expertise.
• 8+ years directly related experience with Masters.
• 10+ years directly related experience with Bachelors.
• Experience supporting ML platforms, MLOps or AI governance.
• Understanding ML lifecycle management and deployment practices.
• Experience implementing standards for model documentation, validation, reproducibility.
• Familiarity with source control systems, CI/CD pipelines and SDLC practices.
• Biotechnology/pharma research environments preferred; strong organization and stakeholder skills.

Responsibilities

• Establish standards for ML code, documentation, model artifacts, and assets.
• Define and implement model lifecycle management, version control, release management, reproducibility.
• Partner with scientists to validate, reproduce, and maintain AI workflows.
• Support management of shared repositories and documentation systems.
• Collaborate to implement scalable governance and lifecycle practices.
• Align AI development with enterprise security and compliance.
• Translate scientific requirements into operational standards.
• Drive consistency and reuse of AI assets across LMD.

Skills

AI governance

MLOps

Model lifecycle

Version control

CI/CD

Documentation

Security & compliance

Stakeholder management

Biotech/pharma domain

Data governance

Education

PhD

Masters + 8+ years

Bachelors + 10+ years

Tools

Git

CI/CD

Jira

Documentation tooling

Job description

Sr. Scientist AI/ML Governance Operations (Large Molecule Discovery Informatics)

Job Summary

In this vital role, the LM ML Standards Governance Specialist will play a key part in establishing the foundational standards, governance processes, and operational practices required to scale AI and machine learning capabilities across Large Molecule Discovery (LMD). This role will help ensure that machine learning assets, code repositories, documentation, data dependencies, and deployment practices are reproducible, secure, compliant, and aligned with enterprise requirements.

Working closely with AI/ML scientists, software engineers, data engineers, informatics teams, and enterprise technology partners, this individual will help define and implement governance frameworks that support the responsible development, deployment, and maintenance of AI-enabled scientific solutions. The role will serve as a bridge between scientific innovation and operational rigor, ensuring that emerging AI capabilities can be effectively maintained, audited, and scaled across research workflows.

This position is well suited for someone who enjoys building structure around complex technical ecosystems and has experience supporting machine-learning operations, technical governance, software lifecycle management, or scientific platform administration.

Responsibilities

• Establish standards for machine learning code, documentation, model artifacts, and supporting technical assets
• Define and implement best practices for model lifecycle management, version control, release management, and reproducibility
• Partner with scientists to ensure AI workflows can be validated, reproduced, and maintained over time
• Support management of shared repositories, technical assets, and documentation systems
• Collaborate with technology teams to implement scalable governance, repository, and lifecycle management practices
• Align AI development practices with enterprise security, compliance, and technology expectations
• Translate scientific requirements into operational standards that enable sustainable AI adoption
• Drive consistency and reuse of AI assets across the Large Molecule Discovery organization

What we expect of you

Basic Qualifications

• Doctorate degree PhD
• Or Masters degree and 8+ years of directly related experience
• Or Bachelors degree and 10+ years of directly related experience

Preferred Qualifications

• Experience supporting machine learning platforms, MLOps environments, or AI governance programs
• Understanding of machine learning lifecycle management and model deployment practices
• Experience implementing standards for model documentation, validation, and reproducibility
• Familiarity with source control systems, CI/CD pipelines, and software development lifecycle practices
• Experience working in biotechnology, pharmaceutical, life sciences, or research environmentsStrong organizational, documentation, and stakeholder management skills
• Ability to balance governance requirements with practical scientific needs