Data Scientist - Agentic Systems

Roche · Hyderabad

  • Experience8–12 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelexecutive
  • Posted2 Sept 2026
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About Roche

Roche is hiring in Hyderabad in pharma biotech. This role looks for around 8+ years of experience.

Skills

  • AI/ML engineering
  • Data Science
  • generative AI
  • large language models
  • agents
  • classical machine learning
  • MLOps
  • AI coding agents
  • Python
  • LangChain
  • agentic system design
  • state machine logic
  • AWS
  • Amazon Bedrock
  • SageMaker
  • vector databases
  • graph databases
  • Snowflake
  • SQL
  • NoSQL
  • data lakes
  • API design
  • CI/CD
  • Docker
  • Infrastructure as Code
  • automated testing
  • statistics
  • data manipulation
  • synthetic data generation
  • feature engineering
  • responsible AI

The role

A data scientist at a pharmaceutical and biotechnology company designs generative AI systems and agentic system design, manages MLOps, and deploys models at scale. Python and LangChain support production machine learning and responsible AI work.

Full job description

Requirements:

7+ years of experience in AI/ML engineering and Data Science, with exposure to generative AI, agents and classical ML.

3+ years of hands-on experience with generative large language models and agents.

Proven experience managing the end-to-end MLOps lifecycle and deploying models at scale.

Proven experience leveraging AI coding agents within an agentic SDLC to accelerate feature delivery.

Hold a B. Sc., B. Eng., M. Sc., M. Eng., PhD, or equivalent in Computer Science, Physics, Statistics, Mathematics, or a related field.

Deeply passionate about AI, staying continuously up-to-date with the latest developments in foundational models, agentic approaches, and classical ML.

Team-oriented, proactive, and collaborative, thriving in a fast-paced environment where roles are fluid and multidisciplinary.

A great communicator, able to present complex findings clearly to both technical and non-technical audiences.

Able to communicate in English at the level of C1+.

Ready to span their work times across the Central European Timezone on occasion, when necessary.

Technical Skills:

Programming: Advanced production-grade proficiency in Python. Additional proficiency in TypeScript is considered an advantage.

AI/GenAI Frameworks: Deep expertise with LangChain or similar LLM orchestration frameworks, agentic system design, and state machine logic.

Cloud Platforms: Practical experience designing cloud solutions on AWS (familiarity with multicloud is a plus), utilising GenAI-specific services (e. g., Amazon Bedrock, SageMaker).

Databases: Strong knowledge of vector databases (e. g., AWS OpenSearch), graph databases, Snowflake, SQL, NoSQL, and data lakes.

Software Engineering Best Practices: Expertise in API design, CI/CD, Docker, Infrastructure as Code, and rigorous automated testing.

Data Skills: Strong background in statistics, data manipulation, synthetic data generation, and feature engineering.

Capabilities:

Problem-Solving Skills: Excellent analytical skills to tackle complex engineering and statistical challenges.

Ownership and Leadership: Deep sense of accountability, eager to define architectural patterns, and able to step into a Tech Lead role when necessary.

Consulting: Ability to work closely with stakeholders across the enterprise to consult on the technological approaches to their business problems.

Ethics: Strong understanding of biases, fairness, hallucination mitigation, and responsible AI deployment.