Job Description
We are hiring a contract-based Computer Vision Engineer in Hyderabad, India to lead deep learning model development using PyTorch. The ideal candidate will design and deploy scalable computer vision pipelines focused on image and video analytics. This is a 6-month engagement to support real-time model deployment, optimization, and automation across cloud and edge platforms.
Key Responsibilities
1. Deep Learning Model Development
• Build and train state-of-the-art CV models using PyTorch for classification, detection (YOLO, Faster R-CNN), and segmentation (UNet, DeepLab)
• Optimize data pipelines and preprocessing strategies for high-resolution image and video feeds
• Fine-tune pre-trained models and manage custom model development based on project needs
2. Model Optimization & Deployment
• Optimize models using ONNX, quantization, or TensorRT for cloud and edge deployment
• Deploy real-time inference endpoints using containers (Docker/Kubernetes) and cloud services (Azure, AWS, GCP)
• Maintain experiment tracking, model versioning, and deployment automation workflows
3. Data Engineering & Integration
• Work with data engineers to build scalable data pipelines for ingestion and preprocessing
• Integrate CV models into production systems and IoT environments (e.g., Jetson, Azure IoT)
4. Governance & Performance
• Ensure AI workflows are secure, auditable, and production-ready
• Apply model compression and tuning for performance at scale
5. Cross-functional Collaboration
• Collaborate with DevOps, product teams, and ML engineers for seamless delivery
• Document architectures and ensure knowledge transfer at project milestones
Required Qualifications
• Bachelor’s or Master’s in Computer Science, AI/ML, or a related technical field
• 5+ years of experience in AI/ML with at least 2 years in deploying PyTorch-based CV models
• Expertise in PyTorch, OpenCV, Python, Git, and deep learning model deployment
• Familiarity with cloud platforms (Azure preferred), Docker/Kubernetes
• Hands-on experience with model lifecycle tools (MLflow, W&B, DVC, etc.)
Preferred Qualifications
• Experience with edge AI platforms (Jetson, Coral, Azure Percept)
• Knowledge of ONNX, TensorRT, or other optimization tools
• Exposure to enterprise-grade security practices and MLOps workflows
Contract Details
• Duration: 6 months
• Location: Hyderabad (Hybrid preferred; remote may be considered for exceptional candidates)
• Compensation: Competitive, based on experience and expertise
How to Apply
Send your resume, portfolio (if available), and GitHub/LinkedIn profiles to:
Info@primeverse.in
Subject: Computer Vision Engineer – Hyderabad
Key Responsibilities
1. Deep Learning Model Development
• Build and train state-of-the-art CV models using PyTorch for classification, detection (YOLO, Faster R-CNN), and segmentation (UNet, DeepLab)
• Optimize data pipelines and preprocessing strategies for high-resolution image and video feeds
• Fine-tune pre-trained models and manage custom model development based on project needs
2. Model Optimization & Deployment
• Optimize models using ONNX, quantization, or TensorRT for cloud and edge deployment
• Deploy real-time inference endpoints using containers (Docker/Kubernetes) and cloud services (Azure, AWS, GCP)
• Maintain experiment tracking, model versioning, and deployment automation workflows
3. Data Engineering & Integration
• Work with data engineers to build scalable data pipelines for ingestion and preprocessing
• Integrate CV models into production systems and IoT environments (e.g., Jetson, Azure IoT)
4. Governance & Performance
• Ensure AI workflows are secure, auditable, and production-ready
• Apply model compression and tuning for performance at scale
5. Cross-functional Collaboration
• Collaborate with DevOps, product teams, and ML engineers for seamless delivery
• Document architectures and ensure knowledge transfer at project milestones
Required Qualifications
• Bachelor’s or Master’s in Computer Science, AI/ML, or a related technical field
• 5+ years of experience in AI/ML with at least 2 years in deploying PyTorch-based CV models
• Expertise in PyTorch, OpenCV, Python, Git, and deep learning model deployment
• Familiarity with cloud platforms (Azure preferred), Docker/Kubernetes
• Hands-on experience with model lifecycle tools (MLflow, W&B, DVC, etc.)
Preferred Qualifications
• Experience with edge AI platforms (Jetson, Coral, Azure Percept)
• Knowledge of ONNX, TensorRT, or other optimization tools
• Exposure to enterprise-grade security practices and MLOps workflows
Contract Details
• Duration: 6 months
• Location: Hyderabad (Hybrid preferred; remote may be considered for exceptional candidates)
• Compensation: Competitive, based on experience and expertise
How to Apply
Send your resume, portfolio (if available), and GitHub/LinkedIn profiles to:
Info@primeverse.in
Subject: Computer Vision Engineer – Hyderabad
💡 Quick Summary
Seeking a career-building opportunity? The Computer Vision Engineer – PyTorch position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Hyderabad offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
