Key Responsibilities
- Design, develop, and maintain scalable data pipelines for data collection, processing, and analysis.
- Build, train, validate, and deploy Machine Learning and AI models into production environments.
- Collaborate with data scientists, business stakeholders, and engineering teams to understand business requirements and translate them into technical solutions.
- Develop feature engineering frameworks and model training workflows.
- Implement ML Ops practices for model deployment, monitoring, versioning, and retraining.
- Optimize ML models for performance, scalability, and reliability.
- Work with structured and unstructured datasets from various sources.
- Develop and maintain ETL/ELT processes and data integration solutions.
- Create dashboards, reports, and visualizations to support business insights.
- Ensure data quality, governance, security, and compliance standards are met.
- Evaluate emerging AI, ML, and data technologies and recommend best practices.

📌 Data Science Engineer (Kozhikode)
🏢 Malabar Gold And Diamonds
📍 Kozhikode