About AmgenJoin Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliv

What you will do

• 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.
• 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 strong 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.

What we expect of you

• Master’s degree and 2 – 4 years of experience in Software Engineering, Data Science, or ML Engineering
• or Bachelor’s degree and 3 to 5 years of experience in Software Engineering, Data Science, or ML Engineering
• or Diploma and 7 to 9 years of experience in Software Engineering, Data Science, or ML Engineering
• Experience in 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.
• 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.

Must-Have Skills

• Generative AI
• Large Language Models (LLMs)
• MLOps
• Prompt engineering
• Data quality assessments
• Data cleansing
• Vector databases
• Retrieval algorithms
• GxP compliance
• Regulatory standards
• Agile (SAFe) environment
• Python
• ML libraries (TensorFlow, PyTorch, Scikit-learn)
• NLP
• Cloud platforms (AWS, Azure, GCP)
• Spark
• Databricks
• RESTful APIs
• FastAPI
• BI and visualization tools (Tableau, Streamlit, Dash)
• LangChain
• LlamaIndex
• OpenAI GPT-4
• Anthropic Claude

What you can expect of us

• Competitive benefits
• Collaborative culture
• Support for professional and personal growth and well-being