- We are seeking a highly motivated and experienced Senior Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP).
- This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and regulatory compliance across the organization.
- You will collaborate with cross-functional teams, including software engineers, data engineers, business stakeholders, and quality professionals to deliver AI-driven capabilities that support strategic business objectives.
- The ideal candidate is an an analytical thinker with excellent technical depth, communication skills, and the ability to thrive in a fast-paced, agile environment.

Key Responsibilities:

- Design, build, and deploy generative AI and LLM-based applications using frameworks such as LangChain, LlamaIndex, and others.
- Engineer reusable and effective prompts for LLMs like OpenAI GPT-4, Anthropic Claude, etc.
- Develop and maintain evaluation metrics and frameworks for prompt engineering.
- Collaborate with business stakeholders to identify AI/ML opportunities, ensuring alignment between technical solutions and business goals.
- Lead the development of MLOps pipelines for model deployment, monitoring, and lifecycle management.
- Conduct data quality assessments, data cleansing, and ingestion of unstructured documents into vector databases.




- Build retrieval algorithms for relevant data identification to support LLMs and AI applications.
- Ensure AI/ML development complies with GxP and other regulatory standards, fostering a robust Quality culture.
- Partner with global and local teams to support regulatory inspection readiness and future technological capabilities in AI.
- Share insights and findings with team members in an Agile (SAFe) environment.

Basic Qualifications:

- Doctorate degree OR
- Master's degree and 4–6 years of experience in Software Engineering, Data Science, or ML Engineering OR
- Bachelor's degree and 6–8 years of experience OR
- Diploma and 10–12 years of experience

Preferred Qualifications:

- Proven experience developing and deploying LLM applications.
- Strong foundation in ML algorithms, data science workflows, and NLP.
- Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Familiarity with MLOps tools (e.g., MLflow, CI/CD, version control).
- Experience with cloud platforms (AWS, Azure, GCP) and tools like Spark, Databricks.
- Understanding of RESTful APIs and frameworks like FastAPI.
- Experience with BI and visualization tools (e.g., Tableau, Streamlit, Dash).
- Knowledge of GxP compliance and experience working in regulated environments.
- Domain experience in healthcare, biotech, or life sciences is a plus.
- Strong communication skills with the ability to explain complex topics to diverse audiences.
- High degree of initiative, self-motivation, and ability to work in global teams.

📌 Senior Data Scientist (Secunderabad)
🏢 Amgen Technology Private
📍 Secunderabad