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.
(ref:hirist.tech)
