Design and develop large scale applications using Java 8+, Kotlin, Groovy and the latest versions of modern frameworks
Focus on backend software development and integrations with third-party products
Contribute to the overall software development life-cycle including requirements gathering/analysis, design, development, release/version control, testing, deployment and support
Be a part of an agile-based and globally distributed team
Share your experience with colleagues
Who we're looking for?
At least 5 years experience as a Data Scientist;
Great Python coding skills;
Hands-on experience with data analysis: probability theory and statistics, table data analysis experience; experience with statistical libs like scipy, statsmodels;
Great understanding and proven experience with machine learning (both supervised and unsupervised) classical models and neural networks and experience with popular frameworks (sklearn, LightGBM, xgboost, keras, pytorch, tensorflow.);
Ability to create API for a developed solution (FastAPI, Flask, django rest framework, tensorflow-serving, pytorch-serving, Docker, etc.);
Experience with reporting and visualization tools and libs (matplotlib, seaborn, plotly, altair, possibly jupyter notebooks, streamlit, tensorboard, etc.);
Experience with ML services provided by at least one hyperscaler (AWS ,Azure, GCP);
Understanding of DataOps and MLOps;
Experience working according to Agile practices;
Superior communication skills;
Upper-Intermediate English.
A BIG PLUS WOULD BE
Experience as a team lead;
Experience with Generative AI (LLM, cloud services, LangChain);
DataOps, MLOps experience;
Knowledge of Atalssian products Jira, Confluence.
Project description
Opportunities:
Excellent working environment: the company is big enough to be reliable, yet small enough to be person-oriented;
Full-cycle projects and product development;
Training & development-focused approach: a clear roadmap for training employees to sustain and enhance the productivity of the organization as a whole;
Collaboration with the teams from the European Union both on-site and remotely.
