AI/ML Engineer

Tasks

• Collaborate with data warehouse and ETL team
• Deploy and integrate models into pipelines
• Design and develop AI ML components for data warehouse
• Develop AI-enabled workflows
• Develop explainable predictive models
• Document AI ML assumptions and limitations
• Ensure responsible AI with privacy explainability and accuracy
• Identify AI/ML use-cases
• Monitor and validate model performance
• Prepare data for modelling
• Support MLOps model versioning and documentation

Perks/Benefits

• N/A

Skills/Tech-stack

AWS | Airflow | Azure | CI/CD | Docker | GCP | Hugging Face | Kubernetes | MLOps | MLflow | Machine Learning | PyTorch | Python | SQL | Scikit-learn | TensorFlow