python fullstack Developer

Zenotis Technologies - Foster City, CA

Full-time

Foster City, CA

About the position

The Python Fullstack Developer will collaborate with machine learning engineers and data scientists to design and develop MLOps applications that enhance data operations and insights. This role focuses on creating user-friendly front-end applications that support ML engineers in data curation and model performance evaluation, while also ensuring seamless integration with backend systems and data pipelines. The developer will monitor application performance and iterate on features to align with a visionary product roadmap, all while staying current with MLOps trends relevant to autonomous driving.

Responsibilities

• Collaborate with ML engineers and data scientists to understand business requirements and design MLOps applications.
• Develop the front end of MLOps applications, such as a Dataset Management platform and a Metrics platform for ML engineers.
• Integrate seamlessly with data pipelines and workflows using technologies like Apache Spark and Airflow.
• Monitor and optimize the performance of tooling and applications for high availability and reliability.
• Continuously define problems and opportunities to iterate the application with a visionary product roadmap.
• Stay up-to-date with the latest trends and technologies in MLOps and data visualization.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 9+ years of experience in software engineering and front-end application development.
• Experience designing and building modern data-intensive applications such as dashboards for data warehouses.
• Experience with modern web frameworks (e.g. react, angular, vue) and Python API frameworks (e.g. FastAPI, Django).
• Experience working with distributed data processing platforms such as Databricks.
• Knowledge of SQL basics.
• Experience in ML-related development in the Autonomous Driving industry.

Nice-to-haves

• Experience in DevOps or MLOps tooling application development.
• Experience with Data Pipelines and orchestrators such as Airflow.