23 hours ago
Hyderābād, IndiaSenior / Staff+
Responsibilities
- Build and model digital products and platforms using AI/ML and GenAI.
- Develop cloud-scale solutions using deep learning, NLP, LLMs, foundational models, predictive modeling, feature engineering, and causal AI.
- Collaborate with technical architects, product managers, UX designers, backend engineers, data architects, and business stakeholders to design scalable solutions.
- Explore new tools and technologies for rapid solution development.
- Participate in sprint planning and provide technical implementation estimates.
- Embed responsible AI and security-by-design controls.
- Apply statistical techniques to structured and unstructured data and report results.
Requirements
- 6–12 years of experience in data science, including structured and unstructured data, statistical techniques, and reporting.
- Doctorate, master’s, or bachelor’s degree in computer science, data science, mathematics, statistics, econometrics, economics, operations research, or a related field.
- Experience with deep learning, machine learning, NLP, data mining, generative AI, foundational models, and cloud-scale systems.
- Experience leveraging cloud platforms, preferably AWS, to build scalable and efficient solutions.
- Strong understanding of responsible AI and model validation principles.
- Excellent communication and stakeholder management skills.
- Prior exposure to pharma or life sciences AI environments is preferred.
Tech Stack
Categories
About Amgen
Amgen is a public biotechnology company that discovers, develops, manufactures, and sells biologic and biosimilar therapeutics for patients with serious diseases. Its portfolio and pipeline span oncology, cardiovascular disease, osteoporosis, inflammation, and rare diseases, marketed globally through direct sales and partnerships. Founded in 1980 and headquartered in Thousand Oaks, California (NASDAQ: AMGN), Amgen is a component of the Dow Jones Industrial Average and completed the acquisition of Horizon Therapeutics in 2023.