390 Computer Vision jobs in Hyderabad

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 a USA based multinational Software Company

We are seeking a talented Computer Vision Engineer to join our team and develop innovative solutions using cutting-edge AI and image processing technologies. The ideal candidate will have strong experience in computer vision, machine learning, and deep learning frameworks to build real-world applications such as object detection, facial recognition, image segmentation, and visual analytics.

• Design, develop, and implement computer vision algorithms for image and video analysis.
• Work with datasets to train, test, and validate deep learning models using frameworks like TensorFlow, PyTorch, or OpenCV.
• Build and optimize object detection, tracking, and recognition systems.
• Collaborate with cross-functional teams including data scientists, ML engineers, and software developers.
• Perform model evaluation, optimization, and deployment on cloud or edge devices.
• Research and stay updated on the latest advancements in AI, deep learning, and computer vision technologies.
• Write efficient, maintainable, and well-documented code.
• Proven experience with Computer Vision and Deep Learning frameworks (TensorFlow, Keras, PyTorch).
• Strong knowledge of Python, OpenCV, and image/video processing techniques.
• Experience with CNNs, object detection (YOLO, Faster R-CNN, SSD), segmentation (U-Net, Mask R-CNN).
• Familiarity with NVIDIA CUDA, GPU acceleration, and model optimization tools.
• Understanding of data preprocessing, annotation, and augmentation methods.
• Excellent analytical, problem-solving, and debugging skills.
• Experience with real-time computer vision systems or edge AI (Jetson Nano, Raspberry Pi).
• Knowledge of 3D vision, SLAM, or AR/VR technologies.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and MLOps workflows.
• Contributions to open-source computer vision projects are a plus.

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

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.

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.

Job Title : Computer Vision Engineer

Position: Fulltime / Onsite - Regular Shift

Organisation Name : IIIT H Data I Hub foundation ( IHub-Data )

Location: Inside the IIIT University, Gachibowli ,Hyderabad,Telangana

Primary Skills:Computer Vision, Machine Learning, Artificial Intelligence, Python, Deep Learning

Degree:B.Tech/B.E.

Job Description:

iHub-Data is seeking a talented and experienced Machine Learning/Deep Learning Software Engineer to join our dynamic and innovative team. The ideal candidate should have a strong background in machine learning and deep learning, with hands-on experience in developing and implementing cutting-edge algorithms and models. As a Machine Learning/Deep Learning Software Engineer, you will play a crucial role in designing, developing, and optimizing our machine learning solutions to solve complex problems and drive innovation in our products. We are looking for a passionate engineer, who will help build, demonstrate on scale - practical applications in using images and video.

Key Responsibilities:

In this position, the person will be required to at least, but not limited to:

• Scale up proof-of-concept (POC) applications using state-of-the-art implementations in machine learning and deep learning.
• Evaluate and implement existing or create new or modifications ML/DL methods. Experience in building software prototypes of image processing, computer vision and machine learning applications is a must. Hands-on, experimental work in machine learning is an added advantage.

Required skills:

• Bachelors or higher degree, in ECE, CS, or EEE disciplines with a strong programming knowledge.
• Deep expertise in programming with Python, C/C++.
• Good exposure to Py Torch/TensorFlow, OpenCV ,NumPy and related toolkits.
• Some experience in image processing, machine learning.
• Comfort with collaboration, open communication and reaching across functional borders.
• Experience working in a research or academic environment.
• Ability to clearly articulate design and implementation choices.
• Ability to use a wide variety of open-source technologies and tools.
• Comfort with frequent, incremental code testing and deployment.
• Comfort with collaboration, open communication and reaching across functional borders.
• Experience working in a research or academic environment.

• Strong Python, NumPy, OpenCV; solid PyTorch and data handling.
• Deep models: detection/segmentation/pose (YOLO/DETR/U-Net/ViT), training, and metrics (mAP, IoU).
• Performance & deploy: ONNX/TensorRT, quantization/distillation, Jetson/CUDA, GStreamer/FFmpeg.
• Prod skills: FastAPI, Docker/CI-CD, experiment tracking, logging/monitoring, clear documentation & teamwork.

Pls, Share your updated CV to

Job Title : Computer Vision Engineer

Position: Fulltime / Onsite - Regular Shift

Organisation Name : IIIT H Data I Hub foundation ( IHub-Data )

Location: Inside the IIIT University, Gachibowli ,Hyderabad,Telangana

Primary Skills:Computer Vision, Machine Learning, Artificial Intelligence, Python, Deep Learning

Degree:B.Tech/B.E.

Job Description:

iHub-Data is seeking a talented and experienced Machine Learning/Deep Learning Software Engineer to join our dynamic and innovative team. The ideal candidate should have a strong background in machine learning and deep learning, with hands-on experience in developing and implementing cutting-edge algorithms and models. As a Machine Learning/Deep Learning Software Engineer, you will play a crucial role in designing, developing, and optimizing our machine learning solutions to solve complex problems and drive innovation in our products. We are looking for a passionate engineer, who will help build, demonstrate on scale - practical applications in using images and video.

Key Responsibilities:

In this position, the person will be required to at least, but not limited to:

1. Scale up proof-of-concept (POC) applications using state-of-the-art implementations in machine learning and deep learning.
2. Evaluate and implement existing or create new or modifications ML/DL methods. Experience in building software prototypes of image processing, computer vision and machine learning applications is a must. Hands-on, experimental work in machine learning is an added advantage.

Required skills:

1. Bachelors or higher degree, in ECE, CS, or EEE disciplines with a strong programming knowledge.
2. Deep expertise in programming with Python, C/C++.
3. Good exposure to Py Torch/TensorFlow, OpenCV ,NumPy and related toolkits.
4. Some experience in image processing, machine learning.
5. Comfort with collaboration, open communication and reaching across functional borders.
6. Experience working in a research or academic environment.
7. Ability to clearly articulate design and implementation choices.
8. Ability to use a wide variety of open-source technologies and tools.
9. Comfort with frequent, incremental code testing and deployment.
10. Comfort with collaboration, open communication and reaching across functional borders.
11. Experience working in a research or academic environment.

• Strong Python, NumPy, OpenCV; solid PyTorch and data handling.
• Deep models: detection/segmentation/pose (YOLO/DETR/U-Net/ViT), training, and metrics (mAP, IoU).
• Performance & deploy: ONNX/TensorRT, quantization/distillation, Jetson/CUDA, GStreamer/FFmpeg.
• Prod skills: FastAPI, Docker/CI-CD, experiment tracking, logging/monitoring, clear documentation & teamwork.

Pls, Share your updated CV to