Machine Learning Engineer

ML Engineers develop and deploy machine learning models in production, ensuring their efficiency and reliability. This is a key role for companies using intelligent systems at scale.

                Technical skills
                TensorFlow, PyTorch, scikit-learn
MLOps and ML process automation
Cloud platforms: AWS, GCP, Azure
CI/CD, Docker, Kubernetes
System design for ML applications

            

Key responsibilities

Collaborate with Data Scientists to turn prototypes into products
Build data and model pipelines
Monitor and optimize models after deployment
Maintain scalability and security
Work with ethical and regulatory frameworks

Development plan

Learn ML and statistics fundamentals
Create several ML projects and containerize them
Learn DevOps practices and MLOps tools
Work with real data and build APIs
Document architectures and share your solutions