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Senior Machine Learning Engineer

1 month, 3 weeks 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

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 18

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

Apply Now

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