ML Research Engineer tasks come from two areas of work: backend development for ML models and management of the infrastructure that supports these models.

You will join the core technology team to evaluate ideas, concepts, build fast prototypes (PoC), conduct research, and experiment daily. We are seeking a team-oriented professional devoted to problem-solving and the R&D environment.
ML Research Engineer
• explore new technologies and match them with proposed new ideas, then apply them in quick prototypes
• work closely with researchers, data scientists, data architects, ETL developers to identify, capture, collect, and format data from external sources, internal systems, and the data warehouse to extract features of interest
• deploy trained models and monitor their performance
• wrap models into scaled backend and provide API for the external use
➀ What you'll do
• have a professional data engineering experience focused on batch and real-time data pipelines using Spark, PySpark, Python (Scala is a plus)
• have a hands-on working experience of Big Data stack including Spark and Python (Pandas is a plus)
• are familiar with DevOps
• have a hands-on design and development experience in data space: data processing/data transformation using ETL tools; data warehouse (data modeling, programming)
• are familiar with Google Cloud and Amazon Web Services
• have experience working in a high-load/high-performance distributed project
• have experience both with async code and with multithreading/multiprocessing
• have a hands-on experience with SQL (e.g. PostgreSQL) and NoSQL databases (MongoDB, Redis, Elasticsearch, etc.)
• are an open-minded person willing to work in a dynamic R&D environment
➁ This job is for you if
• Tech Lead or Software Architect experience
• Tech Lead or Software Architect experience
• experience with such languages as GoLang/Scala, etc.
• experience in performance analysis, load testing, and modules/system optimization
• experience with cloud deployment
• experience successfully handling a few simultaneous projects
• experience in R&D projects
➂ Nice to have
• brilliant and diligent teammates who comprise a strong ML team
• becoming a part of the journey on discovering the next big thing in AI & ML
• fulfilling tasks and projects
• unrivaled professional opportunities
• a full-time role at a comfy office in the Kyiv city center
➃ You can expect
If you are an ML professional, you live & breathe the startup and R&D culture, let's talk!