492 Computer Vision jobs in Bangalore

AI Engineer - Manufacturing Analysis Platform

Company Overview

We are building the next generation of AI-powered manufacturing analysis tools, starting with a revolutionary browser-based platform that enables engineers to instantly analyze plastic injection molding designs. Our mission is to democratize advanced manufacturing analysis by making sophisticated DFM (Design for Manufacturing) and moldflow analysis accessible to engineers worldwide through an intuitive drag-and-drop interface.

Role Overview

We're seeking a passionate AI Engineer to lead the development of our core AI analysis engine. You'll be architecting and implementing machine learning models that can analyze 3D CAD geometry in real-time, predict manufacturing issues, and provide actionable recommendations to improve design manufacturability. This is a founding engineering role with significant ownership and growth potential.

Key Responsibilities

AI/ML Development

• Design and implement ML models for geometric analysis of injection molded plastic parts
• Develop computer vision algorithms for automated feature detection in 3D CAD models
• Build predictive models for manufacturing cost estimation, cycle time prediction, and defect analysis
• Create real-time inference engines optimized for browser-based deployment using TensorFlow.js/ONNX.js
• Design data pipelines for continuous model training and improvement

Platform Architecture

• Architect browser-based AI systems that can process large 3D models efficiently
• Integrate STEP/STL file processing with AI analysis workflows
• Develop WebAssembly modules for high-performance geometry computation
• Build scalable model serving infrastructure supporting real-time analysis
• Implement feedback loops to continuously improve model accuracy

Manufacturing Analysis

• Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, gate placement
• Build moldflow simulation capabilities using AI-accelerated CFD techniques
• Create cost optimization engines that recommend design changes for manufacturability
• Implement quality prediction models for common injection molding defects
• Design automated report generation with actionable manufacturing insights

Research & Innovation

• Stay current with AI/ML advances in manufacturing and CAD analysis
• Experiment with cutting-edge techniques like neural radiance fields, graph neural networks for 3D data
• Collaborate with manufacturing experts to validate and improve AI recommendations
• Publish research and represent the company at industry conferences

Required Qualifications

Technical Expertise

• 4+ years of AI/ML engineering experience with production deployments
• Strong proficiency in Python with TensorFlow, PyTorch, or similar ML frameworks
• Experience with 3D geometry processing using libraries like Open3D, PCL, or similar
• JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js)
• Computer vision and geometric deep learning experience
• Understanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processing
• Experience with fine tuning ML models

Software Engineering

• WebAssembly development for high-performance browser applications
• Cloud platform experience (AWS, GCP, Azure) for model training and deployment
• Database design for handling large geometric datasets
• Version control and CI/CD best practices

Mathematical Foundation

• Strong linear algebra and calculus background
• Statistics and probability for uncertainty quantification
• Computational geometry and mesh processing algorithms
• Optimization techniques for design parameter tuning

Preferred Qualifications

Domain Knowledge

• Manufacturing engineering background in injection molding or similar processes
• CAD software experience (SolidWorks, Fusion 360, etc.)
• Finite element analysis (FEA) or computational fluid dynamics (CFD) experience
• Materials science knowledge for plastic properties and behavior

Advanced Technical Skills

• Graph neural networks for representing CAD geometry
• Reinforcement learning for design optimization
• Physics-informed neural networks for manufacturing simulation
• Edge computing and model compression techniques
• Real-time rendering with WebGL/Three.js

Education & Experience

• Bachelors or Masters in Computer Science, Engineering, or related field
• 2+ years in manufacturing technology or CAD software companies
• Experience at high-growth startups building technical products from scratch for production
• Open source contributions in AI/ML or manufacturing tools

Hiring For USA based Multinational Company

We are looking for a skilled and innovative Computer Vision Engineer to join our team. You will be responsible for designing, developing, and deploying computer vision models and algorithms that enable machines to interpret and understand visual information. Your work will help solve real-world problems in areas such as object detection, image classification, tracking, 3D reconstruction, facial recognition, and more.

• Design and implement computer vision algorithms for tasks such as object detection, segmentation, image recognition, tracking, OCR, etc.
• Optimize and scale models for performance and real-time processing.
• Collect and annotate datasets as needed for training computer vision models.
• Train and fine-tune models using deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
• Evaluate model performance using appropriate metrics and improve models through experimentation.
• Integrate vision models into production systems (cloud-based, edge devices, or mobile platforms).
• Collaborate with software, hardware, and data engineering teams to deploy scalable solutions.
• Optimize inference performance for deployment on limited-resource environments (e.g., mobile, embedded systems).
• Stay up to date with the latest advancements in computer vision and deep learning.
• Research and experiment with state-of-the-art methods (e.g., transformer-based models, self-supervised learning, multi-modal systems).
• Contribute to innovation and IP creation, including white papers and patents.
• Work cross-functionally with product managers, engineers, and data scientists to translate business requirements into technical solutions.
• Present findings, prototypes, and performance reports to both technical and non-technical stakeholders.

Position Title: Computer Vision Engineer – Drone-Based Solutions

About Us:

Omnipresent Robot Tech Pvt. Ltd. is an innovative startup pushing the boundaries of robotics, drones, and space tech. We recently contributed to ISRO’s Chandrayaan-3 missionby developing the perception and navigation module for the Pragyaan rover. Currently, we are developing innovative satellite and drone-based solutions for defence and commercial applications. Join our dynamic team and grow your career!

Role Overview:

The Computer Vision Engineer will develop, test, and deploy visual navigation systems for drones operating in challenging environments. The role involves designing robust perception algorithms, fusing multi-sensor data, and optimizing vision-based solutions for real-time, onboard execution.

Key Responsibilities

• Develop and implement computer vision algorithms for real-time drone localization, mapping, and navigation in challenging situations.
• Work on visual odometry, optical flow, and SLAM (Simultaneous Localization and Mapping) for reliable autonomous flight.
• Integrate and fuse vision data with IMU, LiDAR, and other onboard sensors for accurate pose estimation.
• Optimize perception algorithms for deployment on embedded, resource-constrained platforms.
• Collaborate with the autonomy and flight controls teams to ensure system-level integration and robust field performance.
• Evaluate, select, and calibrate camera and sensor configurations for challenging environments.
• Conduct simulation-based and real-world testing to validate performance in diverse scenarios.
• Stay updated on advancements in computer vision and bring relevant innovations into project solutions.
• Maintain clear technical documentation, test plans, and reports.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical/Electronics Engineering, or a related field.
• Strong experience with computer vision algorithms (OpenCV, visual odometry, optical flow, SLAM, object detection).
• Proficient programming skills in Python and C++; experience with embedded or GPU-accelerated vision (CUDA, TensorRT, ONNX) is a plus.
• Practical experience in drone, UAV, or robotic vision systems.
• Understanding of sensor fusion for multi-modal data integration.
• Excellent analytical, problem-solving, and communication skills.

Desired Skills

• Background in deep learning applied to perception tasks.
• Familiarity with robotics middleware (e.g., ROS), simulation environments, and hardware-in-the-loop testing.
• Knowledge of edge-AI deployment models, code optimisation, and real-time architecture.
• Experience in collaborative, multidisciplinary engineering environments.
• Proven track record of writing and maintaining well-documented code and technical documentation.

AI Engineer - Manufacturing Analysis Platform

Role Overview

We're seeking a passionate AI Engineer to lead the development of our core AI analysis engine. You'll be architecting and implementing machine learning models that can analyze 3D CAD geometry in real-time, predict manufacturing issues, and provide actionable recommendations to improve design manufacturability. This is a founding engineering role with significant ownership and growth potential.

Key Responsibilities

AI/ML Development

• Design and implement ML models for geometric analysis of injection molded plastic parts
• Develop computer vision algorithms for automated feature detection in 3D CAD models
• Build predictive models for manufacturing cost estimation, cycle time prediction, and defect analysis
• Create real-time inference engines optimized for browser-based deployment using TensorFlow.js/ONNX.js
• Design data pipelines for continuous model training and improvement

Platform Architecture

• Architect browser-based AI systems that can process large 3D models efficiently
• Integrate STEP/STL file processing with AI analysis workflows
• Develop WebAssembly modules for high-performance geometry computation
• Build scalable model serving infrastructure supporting real-time analysis
• Implement feedback loops to continuously improve model accuracy

Manufacturing Analysis

• Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, gate placement
• Build moldflow simulation capabilities using AI-accelerated CFD techniques
• Create cost optimization engines that recommend design changes for manufacturability
• Implement quality prediction models for common injection molding defects
• Design automated report generation with actionable manufacturing insights

Research & Innovation

• Stay current with AI/ML advances in manufacturing and CAD analysis
• Experiment with cutting-edge techniques like neural radiance fields, graph neural networks for 3D data
• Collaborate with manufacturing experts to validate and improve AI recommendations
• Publish research and represent the company at industry conferences

Required Qualifications

Technical Expertise

• 4+ years of AI/ML engineering experience with production deployments
• Strong proficiency in Python with TensorFlow, PyTorch, or similar ML frameworks
• Experience with 3D geometry processing using libraries like Open3D, PCL, or similar
• JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js)
• Computer vision and geometric deep learning experience
• Understanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processing
• Experience with fine tuning ML models

Software Engineering

• WebAssembly development for high-performance browser applications
• Cloud platform experience (AWS, GCP, Azure) for model training and deployment
• Database design for handling large geometric datasets
• Version control and CI/CD best practices

Mathematical Foundation

• Strong linear algebra and calculus background
• Statistics and probability for uncertainty quantification
• Computational geometry and mesh processing algorithms
• Optimization techniques for design parameter tuning

Preferred Qualifications

Domain Knowledge

• Manufacturing engineering background in injection molding or similar processes
• CAD software experience (SolidWorks, Fusion 360, etc.)
• Finite element analysis (FEA) or computational fluid dynamics (CFD) experience
• Materials science knowledge for plastic properties and behavior

Advanced Technical Skills

• Graph neural networks for representing CAD geometry
• Reinforcement learning for design optimization
• Physics-informed neural networks for manufacturing simulation
• Edge computing and model compression techniques
• Real-time rendering with WebGL/Three.js

Education & Experience

• Bachelors or Masters in Computer Science, Engineering, or related field
• 2+ years in manufacturing technology or CAD software companies
• Experience at high-growth startups building technical products from scratch for production
• Open source contributions in AI/ML or manufacturing tools

AIGC is looking for an experienced AI Computer Vision Consultant to join our innovative team in Bangalore. If you’re passionate about AI, Machine Learning, and real-world Computer Vision applications, this is your chance to make an impact in the Energy, Oil & Gas, Petrochemicals, Utilities, and Manufacturing sectors.

Location: Bangalore – Manyata Tech Park

Experience: 12+ years overall (8+ in AI/ML & Computer Vision)

Minimum 12 years of overall industry experience with at least 8 years in AI/ML and Computer Vision.

• At least 3 full-lifecycle implementations of computer vision projects (from requirement gathering to production deployment).

• Proven experience in industrial CV applications (e.g., quality inspection, process monitoring) and CCTV-based use cases (e.g., surveillance, anomaly detection).

• Hands-on deployment of computer vision solutions on edge servers (e.g., NVIDIA Jetson, Intel NUC).

Demonstrated experience in technical consulting, RFP responses, proposal writing, and client management.

• Prior experience in managing and delivering AI/ML projects, including team and timeline management.

• Experience in the delivery of end-to-end analytical solutions (analyze, design, implement, test, and deploy) and implementation of AI and Advanced Analytics projects for Energy, Oil & Gas, Refining, Petrochemicals, Chemicals, Mining, Supply Chain, Utilities, Power, and Manufacturing industries.

• Experience in leading a team and training young data scientists.

• Good understanding of the AI ecosystem and capabilities

• Exposure to data transformation and data structuring as part of model building

• Building simple yet best-fit solution design or logic design for complex data challenges or industry use cases.

• Hands-on experience with DevOps & ML Operation tools including version control tools such as GIT.

• Understanding of information systems security and network architecture

• Excellent analytical and problem-solving skills

• Ability to face and interact with clients and deliver technical solutions demonstrations and presentations.

• Experience in industrial computer vision applications using AI for tasks such as object detection and tracking.

• Experience working with GIS aerial drone-based and satellite-based data analytics and modeling for anomaly detection is nice to have.

• Experience in Computer Vision applications for corrosion monitoring of industrial assets and pipes is a plus.

• Experience in the latest computer vision frameworks for pre-trained models and transfer learning.

• Experience in industrial automation use cases using computer vision AI.

• Certification in AI / Data Analytics / Deep Learning is desired.

• Experience in real-time (e.g., video, CCTV camera streams) video analytics pipeline.

• Process or Power industry experience is desired.

• Experience in cloud deployment platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) is nice to have.

• Good in documentation practices, writing reports, and project protocols.

• High level of technical aptitude

• Microsoft Office and technical presentation skills.

Technical Skills & Competencies: Computer Vision Tools & Libraries:

• OpenCV, TensorFlow, PyTorch, YOLO

• Image and video processing, object detection, segmentation, pose estimation

• Real-time CV systems, CCTV integration, RTSP stream processing

Coding different object detection neural network architectures such as CNN, R-CNN, Fast R-CNN, Faster R-CNN, SSD, and YOLO. Programming & Frameworks:

• Strong in Python; knowledge of C++ is a plus

• Familiarity with Edge AI frameworks (NVIDIA DeepStream, TensorRT, OpenVINO) Deployment & Architecture:

• Edge computing architectures, Docker, Kubernetes, REST APIs

• Cloud & on-premise hybrid deployment strategies (Azure, AWS, GCP) Other AI Skills (Nice to Have):

• Predictive Analytics, Time-Series Forecasting

• Generative AI (e.g., LLMs, image generation models)

• Agentic AI and AI pipeline orchestration

About the Client

ARA’s client TechGlobal (pseudonym) is a global leader in strategy, technology consulting and digital services, enabling clients in more than 100+ countries to implement cutting edge solutions in their transformation journey. TechGlobal helps businesses become digital-first and digital-ready. The company has a global presence with + employees ( + in India). India is a focus for them with their Development Centres presence in over 10 locations across Tier 1 and Tier 2 cities. They are recognised for their people first and employee oriented policies. Along with offering hybrid work options, a Pan India presence gives flexible location options to employees.

Their Centre for Adv AI focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products.

The Applied AI Research and Innovation Group, is focusing on foundational and applied research in the various fields of AI & Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects.

Role: Senior Manager - AI/ML - Computer Vision

The Sr. Manager will Develop applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Roles & Responsibilities:

• Lead efforts in supervised fine-tuning, reinforcement learning from human feedback (RLHF), and instruction tuning. Innovate on techniques for continual learning and domain adaptation.
• Understand LLM fine tuning techniques such as PEFT, LoRA, QLoRA etc.
• Develop evaluation frameworks for model safety, bias, and performance.
• Collaborate with multiple stakeholders like policy and Responsible AI teams to ensure responsible AI practices, consulting team to provide technical depth in AI, studio team to position our findings for client pitches, business team to arrive at a research roadmap, academia and industry partners for pushing the research boundaries.
• Publish and present novel and innovative research findings in top AI venues.
• Develop an internal AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.
• Support client engagements by providing consulting and solutioning for complex client problems by brining in niche AI skills and utilizing advanced internal and external frameworks and accelerators.

Professional & Technical Skills:

• A Ph.D . in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIIT and ISI
• Overall experience 10-12 years and Relevant experience (post PhD) 5+ years.
• Experience with evaluation metrics and safety benchmarks.
• Familiarity with human-in-the-loop systems and feedback collection.
• Multi Modal AI Model Building and Fine tuning
• Proven track record of innovation and publications.