Description :

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

This role has to collaborate with Amgen's 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.

- 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 and Causal AI.

- 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.).

Required Qualifications :

- 6-12 years of experience in Data Science (eg : managing structured and unstructured data, applying statistical techniques and reporting results).

- Doctorate or Master's or Bachelor's 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 :

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

- Strong understanding of Responsible AI and model validation principles.

Location : City- Hyderabad, Telangana.

Category : Information Systems.

Industry : IT.

Job Type : Full time.

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