Sumo Logic

Sumo Logic offers top-tier cloud monitoring, log management, and Cloud SIEM tools for web and SaaS apps, empowering businesses with real-time insights and high-quality software delivery.

Internet Software & Services

Information Technology

251-1K (943)

Founded 2010

21 open positions

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Senior Machine Learning Engineer

1 month ago

India

Full-time

Senior

Machine Learning Engineer

Software Development

Apache Airflow AWS Docker LLM Machine Learning MLflow NumPy Pandas Python PyTorch Scikit-learn SIEM

Apply Now

Sumo Logic

Sumo Logic offers top-tier cloud monitoring, log management, and Cloud SIEM tools for web and SaaS apps, empowering businesses with real-time insights and high-quality software delivery.

Internet Software & Services

251-1K

Founded 2010

View All Jobs 21

Description

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 by 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 by delivering incremental, well-tested improvements that enhance customer experience.

Requirements

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 of machine learning fundamentals, data pipelines, and model evaluation.
Proficiency in Python and ML/data libraries such as NumPy, pandas, and scikit-learn; familiarity with JVM languages is a plus.
Working knowledge of LLM core concepts, prompt design, and agentic design patterns.
Strong communication skills and a passion for shaping emerging AI paradigms.
Prior experience building and deploying AI agents or LLM applications in production is preferred.
Familiarity with modern agentic AI frameworks such as LangGraph, LangChain, or CrewAI is preferred.
Experience with ML infrastructure and tooling such as PyTorch, MLflow, Airflow, Docker, and AWS is preferred.
Exposure to LLM Ops, including infrastructure optimization, observability, latency, and cost monitoring, is preferred.

Interested in this position?

Apply directly on the company website

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