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Snow Planet
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Staff Machine Learning Engineer

Staff Machine Learning Engineer

Snow Planet

8 - 13 years

30 - 35 Lacs

hyderabad

Posted:1 day ago| Platform:

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Skills Required

solution architecture orchestration enterprise applications analytical machine learning technical leadership design development natural language processing open source python

Work Mode

Work from Office

Job Type

Full Time

Job Description

As a Staff Machine Learning Engineer, you will be responsible for leading the design, development, and implementation of AI-driven solutions in ServiceNow s AI Agents Engineering platform team. You will play a critical role in shaping the future of conversational AI by building enterprise level platforms with advanced natural language processing and LLM powered applications.

This role requires both deep technical expertise and strategic leadership you will guide solution architecture, mentor engineers, and drive innovation in areas such as agent memory, orchestration, and evaluation. The ideal candidate is a strategic thinker, sharp problem solver, and hands on technologist with a passion for building scalable, high performance AI solutions.

Key Responsibilities

Lead the design and architecture of Agentic AI solutions, including agent reasoning, memory, and orchestration pipelines.
Own end-to-end solution delivery design, development, optimization, and deployment of AI/ML systems ensuring scalability, reliability, and performance.
Build and refine AI applications using modern frameworks (LangChain, LangGraph, OpenAI/Anthropic SDKs/APIs), with strong focus on prompt engineering and pipeline optimization.
Provide technical leadership mentor engineers, review code, set best practices, and foster a culture of innovation and collaboration.
Work closely with data scientists, product managers, Architectes and leadership to translate business requirements into technical solutions with measurable impact.
Stay at the forefront of emerging LLM/Agentic AI advancements, integrating new techniques into the platform.
Publish and share insights (internally and externally) through blogs, presentations, or papers to advance thought leadership in LLM and Agentic AI.

To be successful in this role, you have

Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
Experience in usi

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Staff Machine Learning Engineer