Key Responsibilities

• Design and implement Computer Vision models and pipelines for real-world applications
• Develop and maintain REST APIs to expose AI/ML model capabilities
• Build and manage MLOps workflows for model training, versioning, and monitoring
• Containerize and deploy applications using Docker and Kubernetes
• Collaborate with cross-functional teams to integrate CV solutions into products
• Optimize model performance for production workloads at scale

Requirements

• 2–4 years of professional experience in Python development
• Hands-on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow)
• Solid understanding of MLOps practices and tooling
• Experience building and deploying REST APIs
• Proficiency with Docker for containerization
• Experience with Kubernetes for container orchestration
• Strong problem-solving skills and ability to work in fast-paced environments

Skills Required