Senior Python Engineer - ML and Data Science at Jobgether

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Senior Python Engineer - ML and Data Science at Jobgether. This position is posted by Jobgether on behalf of . ClickHouse. . We are currently looking for a . Senior Python Engineer – ML and Data Science. in the . United States. .. This role sits at the crossroads of data science and backend engineering, offering a unique opportunity to shape the experience of thousands of machine learning engineers and data scientists. You will be instrumental in expanding the capabilities of the Python ecosystem, optimizing performance for real-time analytics, and contributing to widely used open-source projects. Collaborating with product, engineering, and external communities, you’ll work to bridge the gap between analytical databases and modern data science workflows—all in a highly distributed and collaborative environment.. . Accountabilities:. . Design and implement Python features that streamline data ingestion, transformation, and exploration for analytics and ML teams.. . Enhance existing integrations with popular data science libraries, improving the interoperability between Python and modern analytical databases.. . Contribute actively to open-source repositories, ensuring compatibility with leading data science and machine learning frameworks.. . Optimize performance for querying and data handling in Python-driven environments.. . Work closely with cross-functional teams (engineering, product, community) to gather feedback and improve developer and data science user experience.. . Develop reference architectures and examples to guide best practices in data workflows and ML integration.. . . Expert-level proficiency in Python and familiarity with key libraries such as Pandas, Polars, Scikit-learn, or PyTorch.. . Hands-on experience integrating databases or analytical engines (e.g., Snowflake, BigQuery, DuckDB) into ML or analytics pipelines.. . Solid understanding of distributed systems and OLAP architecture.. . Proven ability to work in open-source environments and contribute to public codebases.. . Strong collaboration skills with experience in cross-functional teams and user feedback loops.. . Excellent written and verbal communication skills, with the ability to translate complex technical ideas to diverse audiences.. . Nice to Have:. . . Prior exposure to ClickHouse or similar high-performance analytical databases.. . Knowledge of ML workloads and how they intersect with large-scale data processing.. . Experience working in developer-first or database infrastructure companies.. . Company Location: United States.