What you will doDesign 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.Must haves4+ 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.Nice to havesExposure to Apache Airflow and dbt.Experience with LLM frameworks (Autogen, LangGraph or similar) and vector databases.You are passionate about writing clean, modern, maintainable, & highly-performant code.You have a pro-active ability and a self-starter attitude to troubleshoot and solve problems.You have experience working in an Agile environment.You have strong communication skills with excellent interpersonal effectiveness, in one-on-one interactions and presenting to a room.You have self-awareness and a desire to continually improve.#J-18808-Ljbffr