Data Science Engineer

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.