Position: ML Engineer
Company: Data Science UA
Experience required: 1y
Category: Data Science
English level: upper
Published: 2021-09-01T00:00:00+03:00

ML Engineer responsibilities include minimum 2 flavors: wrap ML models into a nice backend and take care about infrastructure behind the models.

You will be a part of the core technology team and help us evaluate ideas, concepts, build fast prototypes (PoC), conduct research, and do experiments on a daily basis. You should have a strong problem-solving ability and be in love with a true R&D lifestyle.

**Responsibilities:**

- Building pipelines & models, and then deploying those models quickly in a production setting;
- Participate in team brainstorming sessions to help validate business ideas at an early stage;
- Design, develop, train, and test models and algorithms;
- Optimize performance of Python ML related code.

**Requirements:**

- Have 2+ years of experience researching and developing machine learning algorithms;
- Knowledge of statistical and machine learning techniques commonly used in data science applications;
- Experience in deploying ML models to production;
- Have experience writing maintainable, production-grade Python code;
- Have experience in ML projects;
- Have experience with libraries and frameworks (Scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, Catboost, etc.);
- Experience in performance analysis, load testing, and modules/system optimization;
- You are curious, have empathy, strong research skills, and love generating ideas;
- Have a degree in Computer Science, Data Science, Mathematics or similar field.

Would be a big plus:
- Continuous education in data science (e.g., taking courses online);
- Experience with cloud deployment;
- Experience successfully handling a few simultaneous projects;
- Experience in R&D projects.

**You can expect:**

- 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.