Requirements :
- Bachelor Degree in Computer Science or any related field.
- 2 years of experience in machine learning, software engineering, or DevOps.
- Hands-on experience with machine learning frameworks(TensorFlow, PyTorch,etc).
- Experience with cloud platforms (AWS, Azure, Google Cloud) and their ML services.
- Familiar with containerization (Docker, Kubernetes).
- Experience with model versioning and management tools (MLflow, DVC).
- Knowledge of data privacy and security best practices.
- Familiarity with Agile methodologies and practices.
Responsibilities :
- Design, build, and maintain machine learning infrastructure and pipelines for face recognition and computer vision products.
- Automate the deployment and monitoring of machine learning models in production.
- Collaborate with Data Scientists and Software Engineers to integrate ML models into applications.
- Implement Cl/CD practices for machine learning projects.
- Monitor model performance and accuracy, addressing issues as they arise.
- Ensure data quality and consistency across various stages of ML pipeline.
- Manage and optimize cloud based ML services and resources.
- Develop and maintain documentation for MLOps processes and best practices.
