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▷ [Apply in 3 Minutes] Senior Machine Learning Engineer

▷ [Apply in 3 Minutes] Senior Machine Learning Engineer

SERVICENOW SOFTWARE DEVELOPMENT INDIA PRIVATE LIMITEDBengaluru, Karnataka, India
16 days ago
Job description

Key Responsibilities

  • Design, implement, and optimize LLM pipelines using frameworks such as LangChain, LangGraph, and OpenAI / Anthropic APIs.
  • Write clean, efficient, and scalable code in Python and Java, applying best practices in ML engineering and enterprise application development.
  • Develop and refine prompt engineering strategies and agent reasoning workflows to improve accuracy and reliability.
  • Build and maintain evaluation frameworks for measuring model performance, including custom metrics for agent instructions and reasoning.
  • Debug, profile, and optimize inference pipelines for latency and cost efficiency at scale.
  • Collaborate closely with data scientists and product teams to translate business needs into technical implementations.
  • Contribute to end-to-end development from prototyping to production deployment in enterprise environments.
  • Stay current with the latest advancements in LLMs, agentic AI, and orchestration frameworks, applying new techniques where beneficial.

Qualifications

To be successful in this role you have :

  • 5+ years of hands on experience in ML / AI engineering, with a strong focus on building and deploying AI / GenAI applications.
  • Proficiency in Python (ML libraries, GenAI / LLM frameworks) and Java (enterprise application development, OOP).
  • Practical experience developing with LLM frameworks such as LangChain, LangGraph, and vendor SDKs / APIs (OpenAI, Anthropic, etc.).
  • Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
  • Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization is a plus or nice to have.
  • Strong skills in prompt engineering and designing agentic reasoning pipelines.
  • Solid understanding of ML evaluation techniques and experience in implementing model monitoring & metrics.
  • Proven ability to debug and optimize inference pipelines for performance and cost efficiency.
  • Strong problem solving skills with the ability to work in fast paced, agile development environments.
  • Bonus : Contributions to open-source projects, blogs, or technical papers in LLM / GenA
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    Machine Learning • Bengaluru, Karnataka, India

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