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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.