Bengaluru Karnataka Lead machine learning engineer Jobs – 1280 Open Jobs Today

Lead – Physical AI
VRIO Digital Services —Bengaluru, Karnataka
- ₹25,00,000 - ₹30,00,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Research
- Health insurance
- Paid time off
Quick apply
12d
Product Owner
Airbus India Private Limited —Bengaluru, Karnataka
- Email
- Master's degree
- Project management
- Bachelor's degree
6d
Lead Academics
k2 learning —Bengaluru, Karnataka
- ₹5,49,526.08 - ₹10,00,000.00 a year
- Full-time
- Computer Science
- Research
- Master's degree
Quick apply
Lead Data Engineer
Bristlecone —Bengaluru, Karnataka
- Full-time
- Machine learning
- AI
- Python
10h
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 Databricks Data Engineer
First Soft Digital Solutions —Bangalore City, Bengaluru, Karnataka
- ₹25,00,000 - ₹40,00,000 a year
- Email
- Hybrid work
- Azure
- DevOps
- AWS
- Health insurance
- Paid time off
Quick apply
Project Engineer
ABB India Limited —Bengaluru, Karnataka
- Online application
- Engineering
- Programmable logic controllers
- Machine learning
Quick apply
4d
Software Engineer
Cisco Systems —Bengaluru, Karnataka
- Full-time
- Machine learning
- AI
- Communication skills
Sr. Project engineer/Lead Engineer
Sourceo —Bengaluru, Karnataka
- Online application
- Windows
- Bachelor's degree
- Machine learning
4d
AI Engineer
Airbus India Private Limited —Bengaluru, Karnataka
- Email
- Computer Science
- DevOps
- Master's degree
Machine Learning-Lead AI and Data Science Engineer II
Deloitte —Bengaluru, Karnataka
- Azure
- Oracle
- Master's degree
Lead Machine Learning Engineer (AI/ML), ITC
Nike —Bengaluru Urban District, Karnataka
- Full-time
- Computer Science
- Engineering
- Research
Mechanical Engineer III - (E3)
Applied Materials —Bengaluru, Karnataka
- Full-time
- CAD
- Computer literacy
- Master's degree
- Work from home
Lead, Development & Delivery, Learning Products
Great Learning —Bengaluru, Karnataka
- Machine learning
- AI
Lead Machine Learning Engineer
DocuSign —Bengaluru, Karnataka
- Hybrid work
- Java
- Master's degree
- Bachelor's degree
Software Engineer, Machine Learning
Ema —Bengaluru, Karnataka
- Full-time
- Azure
- Doctoral degree
- Computer Science
Senior Machine Learning Engineer, ITC
Nike —Bengaluru Urban District, Karnataka
- Full-time
- Computer Science
- Engineering
- Research
13d
Virtual Commissioning Engineer
Expleo —Bengaluru, Karnataka
- Remote
- Microsoft Office
- Assembly
- Programmable logic controllers
Senior Machine Learning Engineer
Spector.ai —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Computer science
- Doctoral degree
- DevOps
Quick apply
Research Scientist - Machine Learning
GE Vernova —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Data analysis skills
- Research

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Lead – Physical AI

VRIO Digital Services
Bengaluru, Karnataka

Quick apply

Job details

Full-time
₹25,00,000 - ₹30,00,000 a year
12 days ago

Benefits

Provident Fund
Health insurance
Paid time off
Food provided
Paid sick time

Qualifications

Image processing
Doctoral degree
Computer Science
Computer vision
Research
Master's degree
Electrical experience
Machine learning
AI
Python

Full job description

Lead – Physical AI

Location: Bengaluru, IndiaExperience: 3+ yearsRole Type: Full-time

About the Role

We are making a significant investment in Physical AI and are looking for a hands-on technical leader to build and lead this capability from Bengaluru.

The role will focus on applying computer vision, video intelligence, multimodal AI, and machine learning to real-world industrial environments.

We are looking for someone who can move from research to prototype to production, while gradually building and leading a strong Physical AI team.

This is not a conventional engineering-management role. We want a builder who can become a technical leader.

What You Will Work On

You will build AI systems that can understand physical activity from video, cameras, sensors, and other real-world signals.

Key problem areas include:

Video and activity understanding
Vision-Language and Video-Language Models
Object, equipment, and tool recognition
Action and workflow recognition
Temporal and sequence understanding
Human-object interaction
State-change detection
Workflow deviation and anomaly detection
Time-and-motion analysis
Real-time or near-real-time AI assistance
Edge and cloud-based inference

You will also evaluate emerging technologies across Physical AI, world models, multimodal foundation models, robotics perception, NVIDIA Cosmos/Metropolis, synthetic data, and edge AI.

What You Will Own

You will:

Define the technical direction for the Physical AI capability
Build and validate prototypes quickly
Decide when to use foundation models, specialized models, fine-tuning, or traditional computer vision
Design scalable video and multimodal AI pipelines
Take successful prototypes into production
Establish evaluation, monitoring, and inference architecture
Work closely with product leadership on real-world use cases
Recruit and mentor engineers as the capability grows
Help shape the company’s long-term Physical AI strategy

What We Are Looking For

We care more about what you have built than the number of years on your résumé.

You should have 3+ years of relevant experience in areas such as:

Physical AI
Computer Vision
Multimodal AI
Robotics
Video Intelligence
Applied Machine Learning

Strong hands-on experience in several of the following is expected:

Python and PyTorch
Deep Learning and Transformers
Computer Vision
Video processing
Vision-Language Models
Object detection, segmentation, and tracking
Human-action or activity recognition
Temporal modelling
Model training and fine-tuning
GPU inference
AI/ML evaluation

Particularly Relevant Experience

We are especially interested in candidates who have worked on:

Industrial computer vision
Robotics perception
Autonomous systems
Manufacturing AI
Video analytics
Visual inspection
Workflow or activity recognition
Edge AI
AR / wearable AI
World models or embodied AI

Direct industrial experience is useful but not mandatory.

Educational Background

A strong academic foundation in Computer Science, AI, Machine Learning, Computer Vision, Robotics, Electrical Engineering, or related fields is preferred.

Graduates from IITs and other leading institutions are particularly encouraged to apply.

A Master’s or PhD is valuable but not required. Strong product-building, startup, research, or open-source experience can outweigh academic pedigree.

What Will Make You Stand Out

You may be an exceptional fit if you have:

Built a real-world computer-vision or multimodal AI product
Worked extensively with video rather than only images
Built real-time vision or edge-AI systems
Fine-tuned multimodal or video models
Worked in robotics or autonomous systems
Used NVIDIA’s AI ecosystem
Contributed to relevant open-source projects
Published research in areas such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS, or similar venues
Built an AI startup or significant independent product

Who We Are Looking For

You are:

Highly hands-on
Curious about frontier AI
Comfortable with ambiguity
Product-oriented
Pragmatic about technology choices
Able to move quickly from research to working systems
Entrepreneurial
Capable of leading from the front

Why This Role

This is an opportunity to build a new AI capability from the ground up.

You will help define the technology, architecture, roadmap, and team — and work on ambitious problems at the intersection of AI, computer vision, multimodal intelligence, and the physical world.

Pay: ₹2,500,000.00 - ₹3,000,000.00 per year

Benefits:

Food provided
Health insurance
Paid sick time
Paid time off
Provident Fund

Work Location: Hybrid remote in Bengaluru, Karnataka (Bengaluru Urban District)

Quick apply

Refine Your Search

lead machine learning engineer jobs in bengaluru karnataka

Lead – Physical AI

Product Owner

Lead Academics

Lead Data Engineer

Azure Lead Data Engineer

Senior Databricks Data Engineer

Project Engineer

Software Engineer

Sr. Project engineer/Lead Engineer

AI Engineer

Machine Learning-Lead AI and Data Science Engineer II

Lead Machine Learning Engineer (AI/ML), ITC

Mechanical Engineer III - (E3)

Lead, Development & Delivery, Learning Products

Lead Machine Learning Engineer

Software Engineer, Machine Learning

Senior Machine Learning Engineer, ITC

Virtual Commissioning Engineer

Senior Machine Learning Engineer

Research Scientist - Machine Learning

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