Job
Description
As an AI/ML Engineer at an Indian, Chennai-based deep-tech startup, your primary responsibility will be to design, train, and optimize deep learning models for image classification and object detection. Your role will involve implementing and maintaining end-to-end computer vision pipelines, developing, deploying, and managing models on cloud platforms, and handling the full model lifecycle. Additionally, you will work closely with cross-functional teams to integrate AI models into production environments, monitor and evaluate model performance, and maintain comprehensive documentation for reproducibility and compliance. **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. Please note: We are looking for candidates who are immediate joiners. As an AI/ML Engineer at an Indian, Chennai-based deep-tech startup, your primary responsibility will be to design, train, and optimize deep learning models for image classification and object detection. Your role will involve implementing and maintaining end-to-end computer vision pipelines, developing, deploying, and managing models on cloud platforms, and handling the full model lifecycle. Additionally, you will work closely with cross-functional teams to integrate AI models into production environments, monitor and evaluate model performance, and maintain comprehensive documentation for reproducibility and compliance. **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 abili
