Senior Machine Learning Engineer at Sumo Logic

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Log AnalyticsIndustries

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 (NumPy, pandas, 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
Desired Qualifications
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

Responsibilities

Design, implement, and optimize agentic AI components including context engineering, 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

Skills

Key technologies and capabilities for this role

Machine LearningPrompt EngineeringLLMContext EngineeringMemory ManagementAI AgentsData EvaluationPythonObservability

Questions & Answers

Common questions about this position

What are the required qualifications for this Senior Machine Learning Engineer role?

Candidates need a 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 ownership and delivery, strong understanding of machine learning fundamentals, data pipelines, and model evaluation, proficiency in Python and ML libraries like NumPy, pandas, scikit-learn, working knowledge of LLM concepts, prompt design, agentic patterns, plus strong communication skills.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or what is the location policy?

This information is not specified in the job description.

What is the team structure like for this role?

You'll be part of a small, high-impact team shaping AI agents for complex machine data, collaborating cross-functionally with product, data, and infrastructure teams.

What makes a strong candidate for this Machine Learning Engineer position?

Strong candidates demonstrate 4-6 years of hands-on experience with ownership and delivery, proficiency in Python and ML libraries, knowledge of LLMs and agentic AI, plus desired experience with production AI agents, frameworks like LangChain, and ML infrastructure tools.

Sumo Logic

Cloud-based data analytics and security platform

About Sumo Logic

Sumo Logic provides data analytics and security tools that help businesses collect, analyze, and visualize large datasets. Their cloud-based platform allows medium to large enterprises in various industries to manage their data efficiently and securely from anywhere. Unlike many competitors, Sumo Logic operates on a subscription model, offering scalable solutions that enable clients to budget their expenses predictably. The company's goal is to empower businesses to make informed decisions and enhance their operational efficiency and security.

Redwood City, CaliforniaHeadquarters

2010Year Founded

$330.8MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise Software, CybersecurityIndustries

501-1,000Employees

Benefits

Competitive base salary + bonus + RSU's

Unlimited PTO + 12 company holidays + 4 quarterly wellness days

100% remote or in office

Employee stock purchase plan- ESPP

Medical, Dental, Vision

Paid Parental leave

Risks

Increased competition from companies like Magna5 could threaten market share.

Free data ingest model may lead to revenue challenges if not enough paying customers.

Rapid global data growth could overwhelm infrastructure, affecting service reliability.

Differentiation

Sumo Logic offers a cloud-native platform for real-time machine data analytics.

The company provides a unique Flex Licensing model for unlimited log data ingest.

Sumo Logic's Cloud SIEM solution automates threat detection and provides contextualized threat insights.

Upsides

Expansion into South Korea opens new customer bases in the Asian market.

Recognition as a Challenger in Gartner's Magic Quadrant enhances credibility and attracts clients.

Flex Licensing model removes cost barriers, potentially increasing customer acquisition.

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