Showing 5,921 Machine Learning Engineer Jobs in Bengaluru Bangalore
Role & responsibilities: Lead end-to-end ML initiatives across retail use cases Architect and deploy ML models Design and manage Cloudflare R2 object storage Define metadata standards, indexing, and cataloging strategies on R2 Integrate R2 with ML pipelines, APIs, and inference services Own ML lifec
Job Summary We are seeking a talented and passionate AI Developer with 25 years of experience to design, develop, and deploy AI-powered applications and intelligent automation solutions. The ideal candidate should have strong programming skills, hands-on experience with Large Language Models (LLMs),
GPT + agentic AI implementation experience with skills like Calude, OpenAI or Mistral (must) Strong Python/PySpark engineering skills with proven API integration experience (must) Strong SQL (must) LangGraph orchestration know-how (must) Fabric/Azure Databricks/Snowflake data engineering integration
Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new
Responsibilities Key Responsibilities: - Design and implement advanced Generative AI models to solve complex problems. - Collaborate with cross-functional teams to integrate AI solutions into existing systems. - Conduct research and stay updated with the latest advancements in NLP and AI technologie
Responsibilities Key Responsibilities: - Design and implement advanced Generative AI models to solve complex problems. - Collaborate with cross-functional teams to integrate AI solutions into existing systems. - Conduct research and stay updated with the latest advancements in NLP and AI technologie
Key Responsibilities: - Design and implement advanced Generative AI models to solve complex problems. - Collaborate with cross-functional teams to integrate AI solutions into existing systems. - Conduct research and stay updated with the latest advancements in NLP and AI technologies. - Develop scal
Summary Description The AI Workflow & Automation Lead Developer is a technical leader responsible for executing the development of scalable internal AI and automation tools that increase organizational capability and efficiency. Reporting to the AI Workflow & Automation Manager, this role partners c
Role Overview As our lead AI/ML Engineer, you will design, build, and scale the intelligence layer powering our next-generation security products. You will turn complex datasets including configurations, security alerts, and raw network logs into production-ready AI capabilities that drive automated
Impact You Will Create Bridge Research and Production: Serve as the critical link translating theoretical data science research and sophisticated algorithms into product-ready, enterprise-scale implementations. Scale to Millions: Build and deploy robust ML APIs and data pipelines engineered to handl
Frequently asked questions
Which companies have machine learning engineer job vacancies?
Several companies are actively hiring for machine learning engineer roles, including Accenture, Tata Consultancy Services, Infosys, Capgemini, and Cognizant. Exploring these employers is a good starting point for your machine learning engineer job search.
What is the salary range for machine learning engineer jobs?
The salary range for machine learning engineer jobs is subject to variation based on factors such as the candidate's experience, qualifications, and the specific employer's policies. However, within the ₹350,000+ range, there are 5615 machine learning engineer openings available.
What are the top industries hiring for machine learning engineer jobs?
Machine learning engineer roles span a range of industries. The sectors with the most openings include IT Services & Consulting, Software Product, Financial Services, Industrial Machinery, and Consumer Electronics & Appliances, reflecting steady demand for machine learning engineer professionals.







