Machine Learning Engineer

Our Research team is growing, and we are looking for an ML Engineer to join the team.

As a Senior ML developer, you will play a key role in the challenge of developing our core product using cutting-edge technology and significantly contributing to our data products. You possess extensive expertise in backend development along with a solid foundation in models, development, infrastructure development, and research.

At Nimble there is no one way of doing things. We are open to new ideas and we encourage creativity, new initiatives and entrepreneurial minds.

Requirements:

Bachelor degree in Computer Science, Engineering or equivalent.
2+ years of experience as ML Engineer or Backend Enginner
Experience with API design and development (REST).
Knowledge of databases (SQL, NoSQL, and Vector databases).
Strong knowledge of Python (FastAPI, Flask, or similar frameworks.).
Experience with working on a cloud environment (AWS / GCP)
Solid background in algorithms, data structures, and programming
Team player with ability to share knowledge and insights with the team and other stakeholders
Handle tasks with full ownership – from POC to productization
Problem solver – Ability to break down large problems into small incremental steps
Self-learner – Ability to learn new ML concepts and technologies and apply them

A big plus:

Experience with Airflow / MLFlow / ElasticSearch
Experience with using and integrating GEN AI pipelines.
Familiarity with web scraping frameworks (e.g., Scrapy, Playwright) and agent-based systems.

Responsibilities:

Apply cutting-edge solutions while leveraging our in-house models
Develop MLOps infrastructure to support our ML models and pipelines in scale.
Work alongside machine learning experts, technologists, and product managers, from across the organization to solve complex problems.