MUST HAVES

• 4+ years of development experience in Python and SQL;
• Production exposure to Snowflake, AWS and Docker;
• Experience with deep learning frameworks (PyTorch or TensorFlow);
• Familiarity with ML model deployment and serving (MLflow or similar);
• Experience with time series analysis and forecasting libraries (Prophet or similar);
• Strong software engineering foundation;
• Great communication skills as well as stakeholder management and requirements gathering;
• Experience working in an environment leveraging remote communication and collaboration tools (e.g. Gitlab, Slack, JIRA);
• A strong sense of ownership, attention to detail and willingness to overcome every challenge with the same level of energy;
• Upper-intermediate English level.

• Design and implement ML models focused on time-series forecasting and predictions, ensuring robust validation and testing methodologies;
• Develop comprehensive feature engineering pipelines that handle complex data patterns and temporal dependencies;
• Create and maintain experimentation frameworks for systematic model evaluation and A/B testing;
• Design and maintain scalable data processing pipelines that ensure data quality and accessibility for ML workflows;
• Design conversational flows and interaction patterns for AI-powered systems;
• Implement and optimize retrieval systems for domain-specific knowledge bases.