onsite
Machine Learning - Computer Vision - ClickGoWeb
ML Engineer
Lead end‑to‑end computer vision projects, building and deploying ML models with Python, OpenCV, and TensorFlow on AWS, while ensuring scalable, containerized solutions with Docker.
About the role
Key Responsibilities
- Design, develop, and deploy computer vision models for real‑world applications using Python, OpenCV, and TensorFlow/PyTorch.
- Collaborate with data scientists and product teams to define model requirements, evaluate performance, and iterate on solutions.
- Implement end‑to‑end pipelines, from data ingestion and preprocessing to inference and monitoring, ensuring high reliability and scalability.
- Containerize models with Docker and orchestrate deployments on AWS services (SageMaker, ECS, Lambda).
- Maintain model documentation, version control, and reproducibility best practices.
Requirements
- 3+ years of experience in computer vision and machine learning.
- Hands‑on experience with AWS ML services and Docker containerization.
- Strong problem‑solving skills and ability to work independently in a fast‑paced environment.
Skills
machine learningcomputer visionpythonopencvtensorflowawsdocker