Sr. Associate – Machine Learning Engineer

Alexahire; Hyderabad; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Amgen in Hyderabad, Telangana, India is seeking a Sr. Associate – Machine Learning Engineer for an on-site role focused on building and operationalizing Generative AI and Agentic AI systems for production use.

You will design LLM solutions, work with embeddings and retrieval techniques, and apply MLOps to move prototypes into enterprise services.

Qualifications

• 5–9 years of applied machine learning or software engineering experience.
• At least 2 years of experience working with production ML systems.
• B.Tech, M.Tech or MS with specialization in Computer Science.

Responsibilities

• Design and implement LLM-based solutions.
• Work with large language models.
• Improve reliability and interpretability of LLM applications.
• Work with embeddings and retrieval techniques.

Skills

Deep Learning

Traditional ML

Model deployment

Production ML systems

Education

B.Tech / M.Tech / MS in CS

Job description

Amgen is hiring for the position of Sr. Associate – Machine Learning Engineer in Hyderabad, Telangana, India. This is an On-Site Machine Learning Engineering opportunity focused on building and operationalizing Generative AI and Agentic AI systems for production use.

The role involves designing LLM solutions, developing agent frameworks, building evaluation pipelines, implementing AI safety guardrails, developing RAG and multi-step agent workflows, and applying MLOps practices to move AI systems from prototypes into reliable enterprise services.

Candidates should have 5–9 years of applied machine learning or software engineering experience, including at least 2 years of experience working with production ML systems. A B.Tech, M.Tech or MS with specialization in Computer Science is required.

Key Responsibilities

• Design and implement LLM-based solutions.
• Work with large language models.
• Improve reliability and interpretability of LLM applications.
• Work with embeddings and retrieval techniques.

Required Skills

• Deep Learning
• Traditional ML
• Model deployment
• Production ML systems