Full Stack Data Scientist & Engineer: (remote/flexible, part-time/full-time)

Responsibilities

- Help conceptualize and build an MLOps platform around data management and federated learning;
from initial design to full implementation and deployment
- Work with the team to design and implement tools and APIs for a centralized system with
distributed agents/workers
- Build supplementary software components that enables data scientists to interact with the platform
- Support integration with existing ML/DL/FL libraries
Background
- 3+ years of experience developing Python-based modern web applications (backend/frontend) and
APIs
- Solid understanding of machine learning / deep learning workflows and MLOps
- Experience developing distributed, agent-based software and associated tools for monitoring and
aggregation
- Solid work experience with relational databases (e.g. PostgreSQL, MySQL) and non-relational
databases (e.g. MongoDB)
- Familiarity with data visualization is a plus
- Proficient in the use of Git, issue trackers, testing tools
- Proactive and engaged; a team player, but also able to work autonomously