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Amgen - Principal Machine Learning Engineer at Amgen — Hyderabad

Experience11–15 yrs
SalaryNot disclosed
Work modeonsite
Levelexecutive
Posted11 Jun 2026

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About Amgen

Amgen is hiring in Hyderabad in pharma biotech. This role looks for around 11+ years of experience.

Skills

Statistics
Machine Learning
Deep Learning
Natural Language Processing
Cloud Computing
AWS
Open-Source Software
Responsible AI
Security by Design
Data Mining

The role

A machine learning engineer in a pharmaceutical and life sciences company builds digital products and platforms for discovery, manufacturing, commercial analytics, and corporate functions. They design cloud-scale AI systems using deep learning, natural language processing, and generative AI, while embedding responsible AI and security-by-design controls. Their skills include deep learning, natural language processing, generative AI, foundational models, large language models, AWS, Python, PyTorch, TensorFlow, Hugging Face, scikit-learn, Pandas, NumPy, Matplotlib, SQL, NoSQL, CUDA, model validation, and pharmaceutical AI.

Full job description

As a Principal Machine Learning Engineer, you will build and model digital product and platforms that bring Amgens AI/ML and GenAI solutions to life.

This role has to collaborate with Amgens Technical Architect, Product Manager, UX designers, and Back-end engineers to design secure, scalable, and user-centric products that accelerate discovery, manufacturing, and commercial analytics, corporate functions products

Key Responsibilities:

- Strong experience with statistics and machine learning, including deep learning, natural language processing (NLP) and, experience in building cloud-scale systems and working with open-source stacks for data

- Experiment with large language models (LLM), Artificial intelligence (AI) for code or related fields, Generative AI, Foundational Models, Supervised and Unsupervised Learning

- Collaborate with cross-functional teams to understand the requirement and design solutions that meet business needs. Also with Data Architects, Business SMEs, and Technical Architect to design and develop to meet fast-paced business needs.

- Explore new tools and technologies that will help rapid development of solutions

- Participate in sprint planning meetings and provide estimations on technical implementation?

- Embed responsible-AI and security-by-design controls

Required Qualifications:

- 11 -15 years of experience in Data Science/ML (eg: managing structured and unstructured data, applying statistical techniques and reporting results)

- Doctorate in Computer Science, Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science or a related field

- Leverage cloud platforms (AWS preferred) to build scalable and efficient solutions

- Strong background in Deep Learning, Machine Learning, NLP, Data Mining.

- Excellent communication and stakeholder management skills.

Preferred Skills:

- Experience in Generative AI, Foundational Models, LLM's, Feature Engineering, Selection & Extraction, BI & Automation, Predictive Modelling, Data Visualization, CNN, RNN, GNN, Transformers, Exploratory Data Analysis

- Familiarity with Python packages (Pytorch, TensorFlow, Hugging FaceScikit-learn, Pandas, NumPy, Matplotlib, Cloud Vision API, RAG, TensorBoard, OpenCV, NLTK)), programming languages ( C, C++, Java, CUDA,SQL, NoSQL, PHP, HTML, JS, CSS etc.)

- Prior exposure to pharma / life sciences AI environments is preferred.

- Strong understanding of Responsible AI and model validation principles.

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