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Senior Machine Learning Engineer

Sumo Logic - Noida, Uttar Pradesh, India

Posted May 4, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Senior Machine Learning Engineer Noida, Uttar Pradesh, India Senior Machine Learning Engineer Location: (Bangalore or Noida) The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume streams of heterogeneous data As a Machine Learning Engineer , you'll build the intelligence behind the next generation of agentic AI systems that reason over massive, heterogeneous log data. You'll combine machine learning, prompt engineering, and rigorous evaluation to create autonomous AI agents that help organizations understand and act on their data in real time. You'll be part of a small, high-impact team shaping how AI agents understand complex machine data. This is an opportunity to work on cutting-edge LLM infrastructure and contribute to defining best practices in context engineering and AI observability. Responsibilities - Design, implement, and optimize agentic AI components, including context engineering, memory management, and prompts. - Collaborate cross-functionally with product, data, and infrastructure teams to deliver end-to-end AI-powered insights. - Operate autonomously in a fast-paced, ambiguous environment - defining scope, setting milestones, and driving outcomes. - Ensure reliability, performance, and observability of deployed agents through rigorous testing and continuous improvement. - Maintain a strong bias for action -delivering incremental, well-tested improvements that directly enhance customer experience. Required Qualifications - B.Tech, M.Tech, or Ph.D. in Computer Science, Data Science, or a related field. - 4-6 years of hands-on industry experience with demonstrable ownership and delivery. - Strong understanding

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