AI/ML Developer

DataArt is engaged in IT, AI/ML, and data consulting and software development. Since 1997, we have been designing, developing, modernizing, and supporting solutions that help the businesses of our clients grow. DataArt started as a company of friends and continues to cultivate a unique culture that distinguishes it from other IT companies, such as:

• Flat structure. There are no “bosses” and “subordinates”;
• We hire people not for a project, but to the company. If the project (or your work in it) is over, you go to another project or on a paid “Idle”, where you develop your skills;
• Flexible schedule, ability to change projects, work from home, and diverse opportunities to try yourself in different roles, working with different clients on different projects;
• Minimal bureaucracy and micro-management, convenient corporate services.

Must have

• Strong knowledge and skills in at least one AI/ML domain: CV, NLP, ML, Mobile ML, MLOps, Chatbots, etc.
• Proven ability to implement and debug ML models in either industry or an equivalent academic setting
• Strong knowledge of programming languages for ML/DS (at least one of): Python, R
• Experience in production troubleshooting using Kibana, Splunk, cloud monitoring tools
• Working knowledge of containers (Docker)
• Working experience with ML/DS products (at least one of): TensorFlow, PyTorch, AWS Sagemaker, Databricks, DataRobot, Keras, XGBoost, Jupiter Notebooks
• Business sense when suggesting and implementing solutions
• Excellent communication skills
• Spoken English

Would be a plus

• Strong theoretical background in ML
• CI/CD tools and practices (one of): Git, Jenkins, TeamCity, Travis CI, etc.
• ML serving tools (one of): Kubeflow, MLFlow, MetaFlow, TFX (TensorFlow extended),
• Data visualization: Power BI, Tableau
• ETLs Tools (one of): Airflow, Luigi, Azure Data Factory, AWS Glue
• Data: Relational Databases (Oracle, MS SQL, MySQL, Postgres, etc.), Non-SQL (Mongo), DWH, Data Lakes, Snowflake, Kafka, Kinesis
• Cloud (one of): AWS, Azure, GCP
• On-device and embedded ML: TensorFlow Light, Core ML

DataArt offers:

• Professional Development:
  - Experienced colleagues who are ready to share knowledge;
  - The ability to switch projects, technology stacks, try yourself in different roles;
  - More than 150 workplaces for advanced training;
  - Study and practice of English: courses and communication with colleagues and clients from different countries;
  - Support of speakers who make presentations at conferences and meetings of technology communities.

• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;

• Friendly atmosphere, concern for the comfort of specialists;

• Flexible schedule and the ability to work remotely;

• The ability to work in any of our development centers.