ML Engineer
Description
Mandatory Skills
- Strong programming experience in Python.
- Hands-on experience with Machine Learning and model development.
- Practical experience in MLOps and production model deployment.
- Experience with AWS, Azure, or GCP cloud platforms.
- Knowledge of CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or similar tools.
- Experience with Docker and Kubernetes.
- Familiarity with Git, GitHub, model versioning, and experiment tracking.
- Experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.
- Understanding of REST APIs and model serving using FastAPI or Flask.
