Key Responsibilities

- Lead the design, development, training, testing, and deployment of computer vision models.

- Take computer vision solutions from proof of concept (PoC) through production implementation.

- Prepare and process datasets for model training, validation, and testing.

- Develop and optimize object detection models using YOLO or equivalent frameworks.

- Use Python and deep-learning frameworks such as PyTorch or TensorFlow to build robust AI/ML solutions.

- Optimize models for performance, accuracy, scalability, and deployment requirements.

- Deploy AI/ML workloads on Microsoft Azure, cloud infrastructure, and edge computing platforms.

- Establish and maintain MLOps practices for model deployment, monitoring, versioning, and lifecycle management.

- Monitor production models, troubleshoot issues, and implement continuous improvements.

- Work with stakeholders to define business problems and translate them into practical computer vision solutions.

- Provide technical leadership, guide engineering teams, and support technical decision-making.

- Collaborate with cross-functional teams to deliver reliable and scalable AI/ML solutions.

Mandatory Skills and Qualifications

- 12+ years of overall experience in software engineering, AI/ML, or computer vision.

- Strong hands-on experience developing and deploying computer vision models.

- Proven experience taking computer vision solutions from PoC to production.

- Strong programming skills in Python.

- Solid understanding of deep learning and modern neural network architectures.

- Hands-on experience with YOLO or equivalent object detection frameworks.

- Experience with PyTorch or TensorFlow.

- Experience deploying AI/ML workloads on cloud and/or edge platforms.





- Strong understanding of MLOps and the production machine learning lifecycle.

- Experience leading technical teams or working as a technical lead.

Technical Skills

Programming and Computer Vision

- Python

- OpenCV

- Computer vision model development

- Object detection and image/video analysis

Deep Learning

- PyTorch or TensorFlow

- YOLO or equivalent object detection frameworks

- Modern deep-learning architectures

- Model training and optimization

Cloud and Edge Deployment

- Microsoft Azure

- Cloud-based AI/ML deployment

- Edge computing platforms

- Model performance optimization

MLOps and Production Engineering

- Production ML lifecycle management

- Model deployment and monitoring

- Model optimization and continuous improvement

- Production troubleshooting and reliability

Valuable-to-Have Skills

- Hands-on experience with Microsoft Azure AI/ML services.

- Experience with industrial computer vision solutions.

- Background in video analytics.

- Experience in Oil & Gas, Energy, Manufacturing, or Industrial IoT.

- Experience optimizing computer vision models for edge deployment.

- Experience designing scalable AI/ML solutions for real-world industrial applications.

Required Professional Skills

- Strong analytical and problem-solving abilities.

- Technical leadership and decision-making skills.

- Ability to take ownership of end-to-end engineering solutions.

- Effective communication and collaboration skills.

- Ability to work with cross-functional teams and stakeholders.

- Focus on model quality, performance, reliability, and continuous improvement.

Pay: ₹1,500,000.00 - ₹2,400,000.00 per year

Application Question(s)

- By applying, you agree that your resume and personal details may be stored securely for up to 2 years for recruitment purposes.

Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka

📌 Lead Computer Vision Engineer (Bengaluru)
🏢 Ananta Services
📍 Bengaluru