Responsibilities

Collaborate with the team to implement new features to support the growing data needs.

Build, maintain, and deploy DS and ML pipelines, including data retrieval, preprocessing, feature engineering, training, and inferencing the models, analyzing and visualizing the results.

Share knowledge with other teams on various data science or project-related topics.

Collaborate with the team to decide on which tools and strategies to use within specific scenarios.

Be a proactive team worker.

What we expect from you

Work experience as a Data Scientist more than 2 years.

English level upper intermediate +.

Good mathematical and statistical background, tensor calculus.

Good knowledge of databases such as Postgres, MongoDB, and SQL.

Python language including practical experience with Scikit-learn, Numpy, Pandas, and Matplot libraries.

Experience with gradient boosting algorithms (XGBoost or LightGBM).

At least 1 framework to build and train neural networks (TensorFlow/Keras, PyTorch), a good understanding of neural networks architectures, and how-tos.

Commercial experience with classic machine learning and deep learning, including NLP and CV models like Bert, Resnet.

Practical skills in building en-to-end ML training pipelines (data load, preprocess, train, inference), as well as GitHub / GitLab CI/CD flows.

Docker or Kubernetes platform.

Will be a plus

Experience working with AWS or Azure.

Ability to work with Spark, Airflow.

NIX is a global supplier of software engineering and IT outsourcing services

NIX teams collaborate with partners from different countries. Our specialists have experience in developing innovative projects from ecommerce to cloud for some of the largest companies in the world, including from the Fortune 500. The teams are focused on stable development of the international IT market, business, and their own professional skills.