Karnataka Lead machine learning engineer Jobs – 1318 Open Jobs Today

Lead Software Engineer - Machine Learning
Freshworks —Bengaluru, Karnataka
- ₹0 a year
- Full-time
- Computer Science
- Master's degree
- Machine learning
Quick apply
Machine Learning Engineer, Director
National Westminster Bank PLC —Bengaluru, Karnataka
- Full-time
- Computer science
- Machine learning
- Scripting
Lead Machine learning Engineer
Saaki Argus & Averil Consulting —Bengaluru, Karnataka
- Master's degree
- Machine learning
- AI
Quick apply
Machine Learning COE Lead
PurpleFront —Bengaluru, Karnataka
- Azure
- AWS
- Machine learning
AI / Machine Learning Engineer
Sagacious Infosystems Pvt ltd —Bengaluru, Karnataka
- ₹5,22,318.52 - ₹9,00,000.00 a year
- Full-time
- Salesforce
- SQL
- Machine learning
Quick apply
Lead Machine Learning Engineer
DocuSign —Bengaluru, Karnataka
- Hybrid work
- Java
- Master's degree
- Bachelor's degree
Azure Lead Data Engineer
Rubiks Syslabs Pvt ltd —Bengaluru, Karnataka
- ₹25,00,000 - ₹40,00,000 a year
- Full-time
- Azure
- DevOps
- Databases
Quick apply
Senior Machine Learning Engineer
Wabtec —Bengaluru, Karnataka
- Full-time
- Engineering
- Master's degree
- AWS
Quick apply
Senior Machine Learning Engineer
Siemens —Bengaluru, Karnataka
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
13d
Senior Machine Learning Engineer
Spector.ai —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Computer science
- Doctoral degree
- DevOps
Quick apply
Machine Learning-Lead AI and Data Solutions Engineer II
Deloitte —Bengaluru, Karnataka
- Azure
- Master's degree
- SQL
Senior Machine learning Engineer
Bosch Group —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Senior Machine Learning Engineer (GenAI)
Spector.ai —Bengaluru, Karnataka
- Full-time
- Hybrid work
- DevOps
- Master's degree
- Machine learning
Quick apply
Senior Machine Learning Engineer
Quantiphi —Bengaluru, Karnataka
- Full-time
- Research
- Databases
- SQL
Machine Learning Engineer
Ideapoke —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- AWS
Machine Learning-Lead AI and Data Science Engineer II
Deloitte —Bengaluru, Karnataka
- Azure
- Oracle
- Master's degree
Lead Platform Engineer
SymphonyAI —Bengaluru, Karnataka
- ₹40,00,000 - ₹45,00,000 a year
- Full-time
- Azure
- Databases
- AWS
AI and Machine Learning Engineer
Hewlett Packard Enterprise —Bengaluru, Karnataka
- Full-time
- Computer Science
- Research
- Java
Lead Engineer
Eightfold.AI —Bengaluru, Karnataka
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Lead Engineer - Power Systems
GE Vernova —Bengaluru, Karnataka
- Full-time
- Master's degree
- C++
- Project management

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Lead Software Engineer - Machine Learning

Freshworks -
Bengaluru, Karnataka

Quick apply

Job details

Full-time
₹0 a year

Qualifications

Law
Computer Science
Software deployment
System architecture
Master's degree
Machine learning
Distributed systems
APIs
Data science
Training & development
AI
Data Science

Full job description

Company Description

Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done.

There’s another option. Freshworks. With a fresh vision for how the world works.

At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world.

Fresh vision. Real impact. Come build it with us.

Job Description

As a Machine Learning Engineer in the Agentic AI team, you will be at the forefront of the next paradigm shift in artificial intelligence. You will transition from static models to building autonomous, goal-driven intelligent agents capable of dynamic reasoning, tool execution, and complex workflow orchestration. Your role is to bridge the gap between bleeding-edge generative AI research and enterprise-scale, production-ready agentic systems.

Impact You Will Create

Productionize Autonomous Systems: Serve as the critical link translating advanced research in LLMs, multi-agent frameworks, and cognitive architectures into highly reliable, product-ready, enterprise-scale implementations.
Scale Multi-Agent Workflows: Build and deploy robust ML infrastructures, runtime environments, and data pipelines engineered to orchestrate and execute millions of autonomous agent decisions with low latency, high efficiency, and safety guardrails.
Architect Next-Gen AI Frameworks: Drive technical alignment by designing scalable agentic frameworks from the ground up, establishing best practices for prompt engineering frameworks, memory systems, and tool-use integration across the organization.

Roles & Responsibilities

Agentic Framework Implementation: Collaborate with AI Researchers and Data Scientists to translate complex reasoning loops (e.g., ReAct, Reflection, Tree of Thoughts) and experimental algorithms into clean, production-grade code.
End-to-End Agent Architecture: Design, build, and manage comprehensive agent pipelines, including state management, long/short-term vector memory systems, automated tool-calling integrations, and dynamic feedback loops.
High-Performance Service Delivery: Develop and deploy extensible, scalable API microservices optimized to minimize latency during heavy token generation, parallel agent execution, and high-concurrency traffic loads.
Operational Telemetry & Evaluation: Design and implement robust tracking frameworks to monitor agent drift, hallucination rates, cost/token efficiency, and multi-step execution accuracy to ensure systemic reliability.
Strategic Ecosystem Collaboration: Architect foundational AI primitives from scratch and liaise with cross-product architects to ensure seamless integration of agentic capabilities into existing product ecosystems.
Prototyping & LLM Benchmarking: Lead Proof of Concept (POC) initiatives utilizing diverse tech stacks, open-source orchestrators (e.g., LangGraph, AutoGen, CrewAI), and custom vector infrastructures to validate optimal solutions for complex business workflows.
Lifecycle Ownership: Independently own the full lifecycle of feature delivery—from alignment with product teams on agent objectives to final production deployment, guardrail reinforcement, and continuous optimization.

Qualifications

Skills & Competencies

Production Agentic Engineering: Proven capability in translating raw LLMs/LMMs into reliable, stateful, and autonomous software applications with deterministic guardrails.
LLMOps & Agent Evaluation: Deep expertise in lifecycle management for generative models, including fine-tuning, retrieval-augmented generation (RAG) optimization, prompt versioning, and routing architectures.
Distributed State & API Design: Strong distributed systems architecture skills, specifically in managing asynchronous workflows, message queues, and low-latency API microservices required for multi-agent coordination.
Cognitive Telemetry: Proficiency in establishing monitoring frameworks for tracking agent reasoning paths, tool execution success rates, API cost metrics, and user-intent alignment.
Technical AI Leadership: Ability to execute rapid prototyping with emerging AI stacks, benchmark foundation models, evaluate vector databases, and drive cross-functional alignment.

Qualifications

Experience: 6–9 years of professional experience in software engineering and machine learning development, with recent hands-on experience deploying LLM-based or agentic systems into production.
Track Record: A proven history of successfully building, productionizing, and maintaining large-scale Machine Learning solutions and scalable backend architectures.
Education: Degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.

Additional Information

At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.

Quick apply

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lead machine learning engineer jobs in karnataka

Lead Software Engineer - Machine Learning

Machine Learning Engineer, Director

Lead Machine learning Engineer

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AI / Machine Learning Engineer

Lead Machine Learning Engineer

Azure Lead Data Engineer

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Senior Machine Learning Engineer

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Machine Learning-Lead AI and Data Solutions Engineer II

Senior Machine learning Engineer

Senior Machine Learning Engineer (GenAI)

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Lead Platform Engineer

AI and Machine Learning Engineer

Lead Engineer

Lead Engineer - Power Systems

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