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Amgen

Makes biotech medicines for serious illnesses

Data Scientist

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • A master's degree and 2 to 4 years of experience in Software Engineering, Data Science, or ML Engineering; or a bachelor's degree and 3 to 5 years of experience in those fields; or a diploma and 7 to 9 years of experience in those fields.
  • Experience developing and deploying large language model applications.
  • A strong foundation in machine learning algorithms, data science workflows, and natural language processing.
  • Expertise in Python and machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.
  • Familiarity with MLOps tools such as MLflow, continuous integration/continuous delivery, and version control.
  • Experience with cloud platforms such as AWS, Azure, and GCP, and tools such as Spark and Databricks.
  • Understanding of RESTful APIs and frameworks such as FastAPI.
  • Experience with business intelligence and visualization tools such as Tableau, Streamlit, and Dash.
  • Knowledge of GxP compliance and experience working in regulated environments.
  • Strong communication skills and the ability to explain complex topics to diverse audiences.
  • A high degree of initiative and self-motivation, and the ability to work in global teams.

Responsibilities

  • Design, build, and deploy generative AI and large language model-based applications using frameworks such as LangChain and LlamaIndex.
  • Engineer reusable and effective prompts for large language models such as OpenAI GPT-4 and Anthropic Claude.
  • Develop and maintain evaluation metrics and frameworks for prompt engineering.
  • Conduct data quality assessments and data cleansing, and ingest unstructured documents into vector databases.
  • Build retrieval algorithms to identify relevant data for large language models 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.

Desired Qualifications

  • Experience developing and deploying large language model applications.
  • A strong foundation in machine learning algorithms, data science workflows, and natural language processing.
  • Expertise in Python and machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.
  • Familiarity with MLOps tools such as MLflow, continuous integration/continuous delivery, and version control.
  • Experience with cloud platforms such as AWS, Azure, and GCP, and tools such as Spark and Databricks.
  • Understanding of RESTful APIs and frameworks such as FastAPI.
  • Experience with business intelligence and visualization tools such as Tableau, Streamlit, and Dash.
  • Knowledge of GxP compliance and experience working in regulated environments.
  • Strong communication skills and the ability to explain complex topics to diverse audiences.
  • A high degree of initiative and self-motivation, and the ability to work in global teams.

About the Company

Amgen

Makes biotech medicines for serious illnesses

Amgen develops and makes biologic medicines, which are drugs built from proteins and antibodies grown in living cells, for serious conditions such as heart disease, cancer, and bone loss. Its anemia drug Epogen, approved in 1989, became one of the biotechnology industry's first blockbuster medicines. Amgen grows these drugs in large tanks called bioreactors, and its products include the cholesterol drug Repatha, the bone-building drug Evenity, and the severe asthma drug Tezspire. It earns money by selling these medicines, mostly through large drug wholesalers that supply hospitals and pharmacies. Amgen was founded in 1980 and is based in Thousand Oaks, California.

Company size
10,001+
Company stage
IPO
Headquarters
Thousand Oaks, CA
Founded
1980

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