Responsibilities

• Develop and maintain backends and tooling for internal ML customers, including core ML pipelines for use in both offline internal processing and real-time production systems.
• Work with ML researchers to adopt and optimize experimental ML pipelines, turning them into scalable mature solutions.
• Maintain and optimize inference software infrastructure for both offline and real-time production use.
• Participate in architecture discussions and communicate with other teams to identify their needs and potential to optimize their work through improvements in our pipelines and tooling.

Requirements

• 5+ years of production experience with Python.
• Solid knowledge of software development best practices and understanding system design.
• Experience with Docker and Kubernetes.
• Familiarity with: SQL, NoSQL, message brokers, web frameworks (Django, FastAPI or others).
• Proactivity and ability to deliver new features by yourself while communicating with internal customers.
• Ability to understand and navigate through existing codebases of different sizes and complexity.
• Confident use of LLM-tools to write code.
• Very good verbal and written English skills (at least B2+).

Nice to have

• Experience with things from our stack: Django, PostgreSQL, MongoDB, Redis, Celery, Triton Inference Server, GitLab CI.
• Experience or curiosity about ML domain.

Why Assaia

Assaia is a unique place where you can work on a technically advanced and innovative product for an exciting and important industry. You will be working in a diverse international team of smart people who can learn a lot from each other – all this without leaving your home – or sunbed, if you wish!

Your input will be valuable and we actively ask everyone to share their thoughts and ideas to help steer the direction of the company’s development. Additionally, we offer:

• Participation in making important decisions, your ideas will be heard and implemented.
• Always remote work and a flexible schedule.
• Paid vacation, paid sick leaves.
• Paid relevant courses/online education.
• Great company culture based on honesty and mutual respect.
• Live team events.

We are a team of 110 now. We are looking forward to expanding it with you!