Senior Data Science Engineer - Automation

Proficiency in Python, with a strong grasp of scripting, automation, and modular design.

Experience with AI agents, including techniques such as reinforcement learning, decision trees, autonomous agents, or multi-agent systems to automate and optimize processes.

Experience with automation frameworks and tools like Apache Airflow or other orchestration platforms to manage workflows.

Solid understanding of Git, version control workflows, and release cycles.

Experience deploying to cloud platforms like AWS, GCP, or Azure.

Familiarity with Docker and Kubernetes for deploying and managing solutions.

Automate Python/Pyspark codes for data workflows and collaborate with data scientists to refactor notebooks into production-ready systems.

Design, implement, and manage scalable data pipelines that integrate AI-driven automation to enhance data workflows, automate repetitive tasks, and make decisions based on real-time data.

Build and integrate tools that enhance automation capabilities, such as job schedulers, version control systems, and monitoring solutions for data science projects.

Work closely with data scientists to identify areas for AI-driven process improvements and design solutions that enhance overall workflow efficiency