2869 AI Engineer jobs in Bengaluru

At Vuha , we’re reimagining manufacturing quality assurance through AI. Our computer vision platform detects product imperfections in real time, enabling automated visual inspection that’s faster, more accurate, and infinitely scalable.

We’re seeking a Machine Learning Engineer passionate about building production-grade vision systems — models that see, learn, and decide in the real world. You’ll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.

• Be a Founding Engineer to build the technical strategy and foundations for the company.
• Design and train deep learning models for image-based defect detection.
• Build pipelines for dataset acquisition, labeling and versioning.
• Research and develop cutting edge models for defect detection on complex objects.
• Optimize inference for edge deployment (TensorRT, ONNX).
• Collaborate with software engineers to integrate models into real-time systems.
• Research state-of-the-art techniques in object detection models.

We are looking for someone that is looking to build an AI company from the ground-up. As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup. 

• Research to Production : Lead the charge in transforming state-of-the-art research (e.g. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.
• Model Innovation & Optimization : Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects. You'll work with the entire lifecycle, ensuring performance and efficiency.
• End-to-End System Impact : Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform. You will be a bridge between our research and full-stack engineering teams, delivering cohesive and performant solutions.
• Future-Proof Our AI : Proactively explore and integrate new architectures and techniques to continuously advance our models' accuracy and scalability.

What we expect-

• 5+ years of experience in ML, computer vision, or applied AI.
• Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.
• Experience with docker, CI/CD pipelines
• Experience with version control systems such as github/bitbucket.
• Experience with model optimization for edge deployment and real time processing.
• Strong understanding of CNN architectures, object detection, and anomaly detection.
• Experience in end-to-end product development and deployment.
• Full ownership of product development and deployment. 
• Curiosity, ownership, and the ability to thrive in an early-stage environment.
• Strong documentation and communication skills 
• A keen ability to critically read, understand, and implement state-of-the-art research papers.

• Experience with manufacturing, industrial vision, or robotics.
• Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).

• Build AI that powers the physical world — factories, not feeds .
• Work closely with a founder-led engineering team with deep ML roots.
• Competitive pay and early equity in a fast-growing vision startup.
• Freedom to research, experiment, and innovate in production AI.

About Vuha

At
Vuha

, we're reimagining manufacturing quality assurance through AI. Our computer vision platform detects product imperfections in real time, enabling automated visual inspection that's faster, more accurate, and infinitely scalable.

We're seeking a
Machine Learning Engineer

passionate about building production-grade vision systems — models that
see, learn, and decide

in the real world. You'll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.

What You'll Do

• Be a Founding Engineer to build the technical strategy and foundations for the company.
• Design and train deep learning models for image-based defect detection.
• Build pipelines for dataset acquisition, labeling and versioning.
• Research and develop cutting edge models for defect detection on complex objects.
• Optimize inference for
  edge deployment

(TensorRT, ONNX).
- Collaborate with software engineers to integrate models into real-time systems.
- Research state-of-the-art techniques in object
detection models.

What We're Looking For

We are looking for someone that is looking to build an AI company from the ground-up. As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup. 

• Research to Production

: Lead the charge in transforming state-of-the-art research (e.g. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.
- Model Innovation & Optimization

: Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects. You'll work with the entire lifecycle, ensuring performance and efficiency.
- End-to-End System Impact

: Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform. You will be a bridge between our research and full-stack engineering teams, delivering cohesive and performant solutions.
- Future-Proof Our AI

: Proactively explore and integrate new architectures and techniques to continuously advance our models' accuracy and scalability.

What we expect-

• 5+ years of experience in ML, computer vision, or applied AI.
• Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.
• Experience with docker, CI/CD pipelines
• Experience with version control systems such as github/bitbucket.
• Experience with model optimization for edge deployment and real time processing.
• Strong understanding of CNN architectures, object detection, and anomaly detection.
• Experience in end-to-end product development and deployment.
• Full ownership of product development and deployment.
• Curiosity, ownership, and the ability to thrive in an early-stage environment.
• Strong documentation and communication skills
• A keen ability to critically read, understand, and implement state-of-the-art research papers.

Nice to Have

• Experience with manufacturing, industrial vision, or robotics.
• Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).

Why Join Vuha?

• Build AI that powers the physical world —
  factories, not feeds

.
- Work closely with a founder-led engineering team with deep ML roots.
- Competitive pay and early equity in a fast-growing vision startup.
- Freedom to research, experiment, and innovate in production AI.

At Vuha , we’re reimagining manufacturing quality assurance through AI. Our computer vision platform detects product imperfections in real time, enabling automated visual inspection that’s faster, more accurate, and infinitely scalable.

We’re seeking a Machine Learning Engineer passionate about building production-grade vision systems — models that see, learn, and decide in the real world. You’ll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.

• Be a Founding Engineer to build the technical strategy and foundations for the company.
• Design and train deep learning models for image-based defect detection.
• Build pipelines for dataset acquisition, labeling and versioning.
• Research and develop cutting edge models for defect detection on complex objects.
• Optimize inference for edge deployment (TensorRT, ONNX).
• Collaborate with software engineers to integrate models into real-time systems.
• Research state-of-the-art techniques in object detection models.

We are looking for someone that is looking to build an AI company from the ground-up. As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup. 

• Research to Production : Lead the charge in transforming state-of-the-art research (e.g. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.
• Model Innovation & Optimization : Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects. You'll work with the entire lifecycle, ensuring performance and efficiency.
• End-to-End System Impact : Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform. You will be a bridge between our research and full-stack engineering teams, delivering cohesive and performant solutions.
• Future-Proof Our AI : Proactively explore and integrate new architectures and techniques to continuously advance our models' accuracy and scalability.

What we expect-

• 5+ years of experience in ML, computer vision, or applied AI.
• Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.
• Experience with docker, CI/CD pipelines
• Experience with version control systems such as github/bitbucket.
• Experience with model optimization for edge deployment and real time processing.
• Strong understanding of CNN architectures, object detection, and anomaly detection.
• Experience in end-to-end product development and deployment.
• Full ownership of product development and deployment. 
• Curiosity, ownership, and the ability to thrive in an early-stage environment.
• Strong documentation and communication skills 
• A keen ability to critically read, understand, and implement state-of-the-art research papers.

• Experience with manufacturing, industrial vision, or robotics.
• Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).

• Build AI that powers the physical world — factories, not feeds .
• Work closely with a founder-led engineering team with deep ML roots.
• Competitive pay and early equity in a fast-growing vision startup.
• Freedom to research, experiment, and innovate in production AI.

At Vuha , we’re reimagining manufacturing quality assurance through AI. Our computer vision platform detects product imperfections in real time, enabling automated visual inspection that’s faster, more accurate, and infinitely scalable.

We’re seeking a Machine Learning Engineer passionate about building production-grade vision systems — models that see, learn, and decide in the real world. You’ll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.

• Be a Founding Engineer to build the technical strategy and foundations for the company.
• Design and train deep learning models for image-based defect detection.
• Build pipelines for dataset acquisition, labeling and versioning.
• Research and develop cutting edge models for defect detection on complex objects.
• Optimize inference for edge deployment (TensorRT, ONNX).
• Collaborate with software engineers to integrate models into real-time systems.
• Research state-of-the-art techniques in object detection models.

We are looking for someone that is looking to build an AI company from the ground-up. As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup. 

• Research to Production : Lead the charge in transforming state-of-the-art research (e.g. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.
• Model Innovation & Optimization : Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects. You'll work with the entire lifecycle, ensuring performance and efficiency.
• End-to-End System Impact : Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform. You will be a bridge between our research and full-stack engineering teams, delivering cohesive and performant solutions.
• Future-Proof Our AI : Proactively explore and integrate new architectures and techniques to continuously advance our models' accuracy and scalability.

What we expect-

• 5+ years of experience in ML, computer vision, or applied AI.
• Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.
• Experience with docker, CI/CD pipelines
• Experience with version control systems such as github/bitbucket.
• Experience with model optimization for edge deployment and real time processing.
• Strong understanding of CNN architectures, object detection, and anomaly detection.
• Experience in end-to-end product development and deployment.
• Full ownership of product development and deployment. 
• Curiosity, ownership, and the ability to thrive in an early-stage environment.
• Strong documentation and communication skills 
• A keen ability to critically read, understand, and implement state-of-the-art research papers.

• Experience with manufacturing, industrial vision, or robotics.
• Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).

• Build AI that powers the physical world — factories, not feeds.
• Work closely with a founder-led engineering team with deep ML roots.
• Competitive pay and early equity in a fast-growing vision startup.
• Freedom to research, experiment, and innovate in production AI.

At Vuha , we’re reimagining manufacturing quality assurance through AI. Our computer vision platform detects product imperfections in real time, enabling automated visual inspection that’s faster, more accurate, and infinitely scalable.

We’re seeking a Machine Learning Engineer passionate about building production-grade vision systems — models that see, learn, and decide in the real world. You’ll work on model design, optimization, and deployment pipelines that power intelligent factories of the future.

• Be a Founding Engineer to build the technical strategy and foundations for the company.
• Design and train deep learning models for image-based defect detection.
• Build pipelines for dataset acquisition, labeling and versioning.
• Research and develop cutting edge models for defect detection on complex objects.
• Optimize inference for edge deployment (TensorRT, ONNX).
• Collaborate with software engineers to integrate models into real-time systems.
• Research state-of-the-art techniques in object detection models.

We are looking for someone that is looking to build an AI company from the ground-up. As a Founding Engineer, you will have the opportunity to architect, develop and grow an entire AI system for complex defect detection in an industrial setup.

• Research to Production : Lead the charge in transforming state-of-the-art research (e.G. YOLO, DETR, multi-camera object detection) into robust, scalable, and deployed features for our core platform.
• Model Innovation & Optimization : Design, build, and meticulously optimize Deep Learning models for defect detection on sophisticated objects. You'll work with the entire lifecycle, ensuring performance and efficiency.
• End-to-End System Impact : Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform. You will be a bridge between our research and full-stack engineering teams, delivering cohesive and performant solutions.
• Future-Proof Our AI : Proactively explore and integrate new architectures and techniques to continuously advance our models' accuracy and scalability.

What we expect-

• 5+ years of experience in ML, computer vision, or applied AI.
• Proficiency in Python, PyTorch/TensorFlow, OpenCV, ML Ops tools (MLFlow), DVC.
• Experience with docker, CI/CD pipelines
• Experience with version control systems such as github/bitbucket.
• Experience with model optimization for edge deployment and real time processing.
• Strong understanding of CNN architectures, object detection, and anomaly detection.
• Experience in end-to-end product development and deployment.
• Full ownership of product development and deployment.
• Curiosity, ownership, and the ability to thrive in an early-stage environment.
• Strong documentation and communication skills
• A keen ability to critically read, understand, and implement state-of-the-art research papers.

• Experience with manufacturing, industrial vision, or robotics.
• Exposure to edge devices (Jetson, Movidius, or Raspberry Pi).

• Build AI that powers the physical world — factories, not feeds .
• Work closely with a founder-led engineering team with deep ML roots.
• Competitive pay and early equity in a fast-growing vision startup.
• Freedom to research, experiment, and innovate in production AI.

Job Summary:

Location: Multiple locations in India On-site job (Bangalore, Chennai, Hyderabad, Mumbai, Pune, Noida, etc.)

We are seeking a highly skilled and innovative LLM AI Engineer to join our AI/ML team. The ideal candidate will specialize in building, fine-tuning, and deploying Large Language Models (LLMs) to solve real-world problems across various domains. You will be responsible for developing state-of-the-art language models, integrating them into production systems, and collaborating with cross-functional teams to deliver impactful AI solutions.

Key Responsibilities:

Design, develop, and fine-tune large-scale transformer-based models (e.g., GPT, BERT, LLaMA, Mistral, etc.).

Perform domain-specific adaptation and fine-tuning of foundation models using techniques like LoRA, PEFT, QLoRA, and prompt tuning.

Collaborate with data engineers and domain experts to curate, preprocess, and label high-quality datasets for training and evaluation.

Implement efficient training, evaluation, and deployment pipelines using frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, and LangChain.

Optimize LLM inference and memory usage for scalability and latency reduction in production environments.

Develop APIs and tools to serve LLM-powered applications in real time.

Stay current with the latest research and advancements in NLP and LLMs and propose improvements or adoption of emerging techniques.

Ensure responsible AI usage by incorporating fairness, safety, interpretability, and compliance considerations.

Requirements:

Must-Have:

Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field (PhD is a plus).

2–5+ years of experience in machine learning or natural language processing.

Hands-on experience working with LLMs (GPT-2/3/4, LLaMA, Mistral, Claude, PaLM, etc.).

Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, HuggingFace Transformers, TensorFlow).

Familiarity with prompt engineering, few-shot learning, retrieval-augmented generation (RAG), and model fine-tuning techniques.

Experience with REST APIs, containerization (Docker), and ML Ops tools (e.g., MLflow, Weights & Biases).

Good understanding of model evaluation metrics (BLEU, ROUGE, perplexity, hallucination detection).

Nice-to-Have:

Experience deploying LLMs on cloud platforms (AWS/GCP/Azure) or using services like SageMaker, Vertex AI, or Azure OpenAI.

Exposure to privacy-preserving ML, model distillation, or federated learning.

Familiarity with vector databases (Pinecone, Weaviate, FAISS) and embedding techniques.

Experience with RLHF (Reinforcement Learning from Human Feedback).

Contributions to open-source LLM projects or research publications.

Soft Skills:

Strong analytical thinking and problem-solving abilities.

Excellent communication and documentation skills.

Collaborative mindset and ability to work in fast-paced environments.

Passion for AI/ML and a continuous learning attitude.

About Skypoint
Skypoint is a data unification and agentic AI platform designed to accelerate productivity and efficiency for healthcare organizations. The Skypoint AI Platform is HITRUST r2 certified and empowers organizations to:

• Unify data from siloed and disparate sources into a centralized data Lakehouse
• Build industry-specific ontology to model data and business processes
• Deploy AI copilots and agents to accelerate productivity and efficiency

Founded in 2020 in Portland, Oregon, Skypoint has grown to over 75 employees and serves more than 100 customers.

Skypoint is proud to be ranked #26 in Deloitte's Fast 500, recognizing the 500 fastest-growing tech companies in the US and Canada for 2024. We also received the Portland Business Journal's Healthcare Innovation Award for 2024

Key Responsibilities

• Design, develop, and deploy AI/ML solutions leveraging Python, Databricks, and Azure AI/ML services
• Build, fine-tune, and optimize Large Language Models (LLMs), Transformer-based models, and Generative AI (GenAI) applications
• Implement Agentic RAG (Retrieval-Augmented Generation), multi-agent systems, and AI agents for intelligent automation and knowledge workflows
• Collaborate with cross-functional teams to integrate AI solutions into business applications, especially within healthcare use cases
• Apply MLOps practices for continuous integration, deployment, and monitoring of machine learning pipelines
• Conduct performance optimization, scalability improvements, and responsible AI practices across projects
• Stay up to date with advancements in Generative AI, multi-agent orchestration, and transformer architectures

Required Skills & Qualifications

• 3+ years of professional experience in AI/ML engineering
• Strong programming expertise in Python
• Hands-on experience with Databricks and Azure AI/ML ecosystem
• Proven knowledge of LLMs, Generative AI, Transformer architectures, and multi-agent frameworks
• Experience with Agentic RAG pipelines and AI agent development
• Familiarity with MLOps frameworks (MLflow, Kubeflow, Azure ML pipelines, or similar)
• Strong problem-solving skills with a focus on delivering scalable AI solutions
• Excellent communication and collaboration skills

Educational Qualifications

• BS / BE / MS in Computer Science from a top-tier institution (IITs, RECs, etc.)

Why Join Us?

• Work with a fast-growing US-based healthcare SaaS start-up on Azure cloud
• Competitive compensation package, including equity and performance-based bonuses
• Industry certifications and continuous learning opportunities
• Flexible work hours
• Team-building activities, awards, and recognition programs
• Meal cards, incentives, and employee rewards

Life at Skypoint
Life at Skypoint is vibrant and forward-thinking, focused on harnessing the power of AI and advanced technologies to innovate and solve real-world challenges. Our culture thrives on creativity, strategic thinking, and a commitment to excellence, offering a collaborative environment where every contribution is valued.

We are dedicated to fostering personal and professional growth, ensuring team members have opportunities for advancement through continuous training and a flexible work-life balance. Skypoint offers competitive benefits, including comprehensive health insurance and retirement plans.

If you are passionate about building scalable data solutions and eager to thrive in an innovative, high-growth environment, we want to hear from you Candidates with a valid B1 US visa are highly preferred—let's connect

About Zoca
Zoca is a fast-growing local business marketing platform that helps salons, spas, and wellness businesses
attract, convert, and retain more clients
through AI-powered tools. Backed by
real-time data and automation
, we simplify growth for beauty professionals.

Role Overview
We're looking for a
Backend Engineer
who is passionate about building
scalable, high-performance systems
and has exposure to
AI, LLMs, and NLP driven projects
. You will collaborate with cross-functional teams to design, develop, and maintain backend services and APIs that power our platform.

Key Responsibilities

• Design, implement, and maintain backend systems and APIs.
• Optimize system performance, reliability, and scalability.
• Collaborate with product, AI, and frontend teams to integrate LLM-based and AI-driven features.
• Work on automation workflows and intelligent agents to improve platform capabilities.
• Write clean, maintainable, and well-tested code with proper documentation.
• Diagnose and resolve complex technical issues to ensure seamless user experiences.
• Participate in peer code reviews and maintain high coding standards.
• Ensure data integrity, security, and compliance across all backend systems.

Requirements

• 4–7 years of experience in backend development.
• Strong expertise in TypeScript.
• Experience with Nx, NestJS, and Fastify (strong preference).
• Proficiency in PostgreSQL and caching mechanisms (e.g., Redis).
• Hands-on experience with AWS or similar cloud platforms.
• Exposure to LLMs, AI-powered solutions, or AI agent-based architectures.
• Solid understanding of RESTful API design principles.
• Familiarity with DevOps practices (CI/CD, GitHub Actions, Docker, Kubernetes).
• Excellent problem-solving, debugging, and performance optimization skills.
• Bachelor's degree in Computer Science or a related field (preferred).

Why Join Zoca?

• Build something meaningful – Shape a platform transforming how local businesses grow online.
• Innovate with AI – Work on cutting-edge LLM and AI-agent-based features.
• Join early, grow fast – Be part of a high-impact core team at a rapidly scaling startup.
• Collaborate closely – Work directly with product, growth, and leadership teams in Bangalore.
• Led by vision – Founded by Ashish Verma, a SaaS entrepreneur with a proven track record in building marketing-led products for SMBs.

Work Culture
This is a work-from-office role based out of Koramangala, Bengaluru, with alternate Saturdays working as part of our weekly schedule.

Skills: ai,ai agents,typescript,python,system design,docker,aws