AI Engineer

• Develop and implement AI/ML models using Python and related frameworks

• Build and optimize machine learning pipelines for production environments

• Work on data preprocessing, feature engineering, and model training

• Deploy ML models using MLOps practices with Docker, Kubernetes, and cloud platforms

• Collaborate with cross-functional teams to translate business problems into AI solutions

• Monitor and improve model performance and scalability

• Ensure version control and collaborative development using Git

• Work with structured and unstructured data using SQL and NoSQL databases

• Optimize algorithms and system performance for efficiency