Please note : We are looking for candidates who are immediate joiners, <15 days or serving notice period.

We are looking for a passionate and skilled AI/ML Engineer with 2-3 years of experience in Computer Vision, Deep Learning, and model deployment for an Indian, Chennai-based deep-tech startup. The ideal candidate should have strong hands-on experience developing and training computer vision models from scratch on real-world datasets, with proficiency in Python, TensorFlow, and PyTorch. Experience with cloud-based CV platforms (e.g., Azure Custom Vision) is a plus. Candidates should also have a solid understanding of MLOps workflows, including model versioning, CI/CD, and OTA deployment in production environments.

Key Responsibilities :

- Design, train, and optimize deep learning models (CNNs, SSD and related variants) for image classification and object detection.

- Implement and maintain end-to-end computer vision pipelines using OpenCV or equivalent libraries.

- Develop, deploy, and manage models using Azure Custom Vision and other cloud platforms.

- Handle full model lifecycle: versioning, repository management, CI/CD integration, and OTA deployment. - Work closely with cross-functional teams to integrate AI models into production environments.

- Monitor and evaluate model performance; retrain models to ensure accuracy and reliability.

- Maintain comprehensive documentation of workflows, experiments, and deployment processes for reproducibility and compliance.

Required Skills & Qualifications :

- 2-3 years of hands-on experience in computer vision, deep learning, and model deployment.

- Strong programming proficiency in Python.

- Experience with TensorFlow, PyTorch, and Azure Custom Vision.

- Solid understanding of deep learning architectures (e.g., CNN, SSD).

- Familiarity with MLOps practices: Git, CI/CD, model versioning, OTA deployment.

- Proficiency in image processing and vision techniques using OpenCV or equivalent libraries.

- Experience in model evaluation, tuning, and real-world deployment.

- Experience with cloud platforms such as Azure, AWS, or GCP.

- Exposure to edge deployment / embedded AI systems.

- Understanding of dataset management and data annotation tools.

- Familiarity with containerization (Docker) and orchestration (Kubernetes) is a plus.

Soft Skills :

- Strong problem-solving and debugging skills.

- Excellent communication and collaboration abilities.

- High attention to detail and ability to work in a fast-paced environment.

- Commitment to writing clean, maintainable, and scalable code.

- Curiosity and eagerness to learn and explore emerging industry trends.