1047 Computer Vision Engineer 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

Job description

A job where you increase the depth of your expertise in computer vision.

A job where you learn and implement the SOTA papers.

A job where you write vectorized code that runs in seconds, not in minutes.

A job where models learn to see and understand the world around them.

A job where models run real-time because you optimize every byte.

A job where you keep the career promises that you made to yourself.

A job where you keep the learning promises that you made to yourself.

If this scares you, don't read. If this excites you, we might love you.

We are looking for a passionate Machine Learning Engineer to join our team. The ideal candidate will be an enthusiastic developer with 3-5 years of experience in the field of Computer Vision and Artificial Intelligence. If building things and writing code excite you, this is the startup you belong.

Key Technologies:

• Must be an expert in Python and Numpy.
• Experience with Tensorflow/Keras/Pytorch is required.
• Unsatiable hunger for writing beautiful code.
• Knowledge of python design-patterns.
• Some experience with C++ is preferred.
• Knowledge working closely with version control (GIT).
• Excellent communication skills and being able to work independently.
• Strong problem-solving and coding skills override everything else written above.

About AIMonk:

Run by IIT Kanpur alumni, AIMonk is a deep tech startup. We build beautiful and scalable software using computer vision and deep learning. We pride ourselves in solving problems nobody else can in the space.

• Lead the design, development, and implementation of scalable machine learning systems and pipelines.
• Architect and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or JAX.
• Develop and deploy production-ready ML solutions, ensuring reliability, performance, and scalability.
• Collaborate with research scientists to translate novel algorithms and experimental findings into robust engineering implementations.
• Mentor and guide a team of ML engineers, fostering best practices in coding, testing, and deployment.
• Define and implement MLOps strategies for model versioning, monitoring, and continuous integration/deployment.
• Conduct thorough code reviews and provide constructive feedback to team members.
• Optimize model performance for efficiency and effectiveness across various hardware platforms.
• Stay abreast of the latest advancements in machine learning, deep learning, and AI research.
• Contribute to the strategic technical direction of the ML engineering team and the broader organization.
• Troubleshoot and resolve complex technical issues in production ML systems.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 7 years of experience in machine learning engineering, with a strong focus on deep learning.
• Proven experience in leading ML projects from research to production.
• Deep expertise in Python and proficiency with core ML libraries (e.g., scikit-learn, pandas, NumPy).
• Extensive hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Strong understanding of MLOps principles and tools (e.g., Docker, Kubernetes, CI/CD, MLflow).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Excellent problem-solving, analytical, and algorithmic thinking skills.
• Exceptional leadership, communication, and collaboration abilities, critical for a remote-first environment.
• Experience with large-scale data processing and distributed systems.

• Conduct research and development in advanced deep learning techniques.
• Design, implement, and deploy novel AI models and algorithms.
• Collaborate with cross-functional teams to integrate AI solutions into products.
• Stay abreast of the latest advancements in AI and machine learning research.
• Publish research findings in leading academic venues.
• Mentor junior team members and contribute to a culture of learning.
• Optimize model performance and scalability for real-world applications.

• Ph.D. or Master's degree in Computer Science, AI, ML, or a related field.
• 5+ years of experience in AI research and development, with a focus on deep learning.
• Expertise in Python and deep learning frameworks (TensorFlow, PyTorch).
• Strong publication record in top AI conferences/journals.
• Experience with large-scale data processing and distributed systems.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.