Senior Machine Learning Engineer

WANT TO BUILD THE NEXT GENERATION OF AI-POWERED ANALYTICS AND INTELLIGENT AGENTS
FOR OBSERVABILITY AND SECURITY USE CASES? PASSIONATE ABOUT LEVERAGING
CUTTING-EDGE MACHINE LEARNING, LARGE LANGUAGE MODELS, AND GPU-ACCELERATED
INFERENCE TO TRANSFORM HOW ORGANIZATIONS UNDERSTAND AND ACT ON THEIR LOGS DATA?
COME TALK WITH US!

As a Senior 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, context
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.

Location: Noida/ Bengaluru (Hybrid)

RESPONSIBILITIES

* Design, implement, and optimize agentic AI components, including tools,
memory management, and prompts.
* Develop and maintain golden datasets by defining sourcing strategies, working
with data vendors, and ensuring quality and representativeness at scale.
* Prototype and evaluate novel prompting strategies and reasoning chains for
model reliability and interpretability.
* 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.
* 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 (NumPy, pandas, scikit-learn);
familiarity with JVM languages is a plus.
* Working knowledge of LLM core concepts, prompt design, and agentic design
patterns.
* Experience with distributed systems and dealing with large amounts of data.
* Strong communication skills and a passion for shaping emerging AI paradigms.

Desired Qualifications

* Experience leading a team of engineers.
* Prior experience building and deploying AI agents or LLM applications in
production.
* Familiarity with modern agentic AI frameworks (e.g., LangGraph, LangChain,
CrewAI).
* Experience with ML infrastructure and tooling (PyTorch, MLflow, Airflow,
Docker, AWS).
* Exposure to LLM Ops - infrastructure optimization, observability, latency,
and cost monitoring.

ABOUT US

Sumo Logic, Inc. empowers the people who power modern, digital business. Sumo
Logic enables customers to deliver reliable and secure cloud-native applications
through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners
and developers ensure application reliability, secure and protect against modern
security threats, and gain insights into their cloud infrastructures. Customers
worldwide rely on Sumo Logic to get powerful real-time analytics and insights
across observability and security solutions for their cloud-native applications.
For more information, visit www.sumologic.com [http://www.sumologic.com/].

Sumo Logic Privacy Policy [https://www.sumologic.com/privacy-statement/].
Employees will be responsible for complying with applicable federal privacy laws
and regulations, as well as organizational policies related to data protection.