5,907 Machine Learning Intern Jobs in Bengaluru Bangalore

0–5 yrs₹21.1L - ₹29.9LBengaluru, India

Dear Aspirant! We empower our people to stay resilient and relevant in a constantly changing world. Were looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like youThen it seems like youd make

4–7 yrs₹30L - ₹40LBengaluru, India

About the job About Client - We are pioneering the Autopilot Enterprise . Our conversational AI agents handle workflows, drive outcomes, and deliver measurable impact for businesses. Born from the belief that enterprises need a new playbook, we build autonomous, multilingual agents capable of comple

Bengaluru / Bangalore, India

Quantiphi seeks a Senior ML Engineer (AWS) in Mumbai/Bangalore (3-6 yrs). Develop GenAI and Agentic AI solutions using AWS Bedrock, LangChain, RAG pipelines, and Python. Build secure, scalable ML architectures on AWS

4–6 yrsHyderabad / Secunderabad, Telangana, India

Seeking Senior ML Engineers/Architects to design, build, and deploy scalable AI/ML and Generative AI solutions. Leverage MLOps, LLMs, Python, and cloud platforms (AWS/Azure/GCP) to create production-grade applications. Drive innovation in cutting-edge AI initiatives

7–12 yrsNoida, India

Please apply only if you can join us immediately or a week time. Position Overview: We are seeking an experienced Senior Machine Learning Engineer with a deep expertise in NLP, Large Language Models (LLMs), and predictive modelling. The successful candidate will have a track record of building, depl

9–14 yrs₹35L - ₹45LBengaluru, India

Notice period :Looking for immediate to 15 days or serving notice period candidates are preferred Shift Timings: 3 PM to 12 AM Work Mode: WFO (5 days/ In week) Job Title Machine Learning Engineer Sr. Job Summary The Machine Learning Engineer Sr. is responsible for designing, building, and maintainin

8–10 yrsGurugram, India

Paisabazaar seeks a Lead ML Engineer to scale AI/ML efforts across Speech, NLP, Computer Vision, and Generative AI. Develop impactful models using Python, PyTorch, and cloud platforms (AWS/Azure/GCP) for products like Hinglish ASR and Gen AI chatbots. Requires 8+ years in ML/Deep Learning

5–7 yrsMumbai, India

Senior ML Engineer to build a Unified AI/ML Data Collection Platform. Drive LLM-based systems, MLOps, and scalable data pipelines. Requires 5+ years in ML engineering, Python, cloud, and LLM production experience. Hybrid role

4–7 yrs₹24.4L - ₹36.5LKolkata, India

We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). In this role, you will be responsible for automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML

5–10 yrs₹24.4L - ₹36.5LChennai, India

About Machine Learning Engineering at UPS Technology: We re the obstacle overcomers, the problem get-arounders. From figuring it out to getting it done our innovative culture demands yes and how! We are UPS. We are the United Problem Solvers. Our Machine Learning Engineering teams use their expertis

Frequently asked questions

Which companies have machine learning intern job vacancies?

Several companies are actively hiring for machine learning intern roles, including Accenture, Tata Consultancy Services, Infosys, Capgemini, and Cognizant. Exploring these employers is a good starting point for your machine learning intern job search.

What is the salary range for machine learning intern jobs?

The salary range for machine learning intern 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 5598 machine learning intern openings available.

What are the top industries hiring for machine learning intern jobs?

Machine learning intern roles span a range of industries. The sectors with the most openings include IT Services & Consulting, Software Product, Financial Services, Industrial Machinery, and Hardware & Networking, reflecting steady demand for machine learning intern professionals.