ML Engineer/Data Scientist

St. Petersburg

Arcadia, an innovative software development company providing services to international clientele, is looking for ML Engineer.

Cutting-edge technologies. Agile development process. The highly professional team provides good opportunities for professional development and career.

We are looking for a ML Engineer with Python knowledge.

Responsibilities

  • maintain and extend data preprocessing pipelines
  • maintain and extend feature extraction pipelines
  • work with stakeholders to clarify requirements and identify modeling opportunities
  • build new models based on customer requirements
  • build web UIs to present modeling results to SMEs
  • wrap models in APIs
  • automate retraining/deploying existing models (e.g. when there is new training data).

Requirements

  • Python and its data stack (pandas, numpy, scikit-learn, etc.)
  • PyTorch
  • Jupyter Notebooks
  • experience with NLP: text representation, NLP tasks and their mapping to ML tasks
  • understanding of neural networks and their application in the NLP domain
  • understanding of parallel processing in Python (thread-based, process-based, GIL), serialization, memory mapping
  • understanding of how web UI works (e.g. UI built with dash) would be an advantage
  • experience with task trackers (preferably Jira) and version control tools (preferably git)
  • familiarity with Linux command line
  • root cause analysis skills to answer specific business questions
  • good communication and analytical skills - to clarify requirements with the customer in English.

Nice to have:

  • experience with DVC for data versioning would be an advantage
  • experience with Amazon's EC2 and S3.

Salary and benefits:

  • competitive salary (discussable, depending on experience)
  • training programs, professional development
  • benefits: voluntary health insurance (incl. dental insurance)‚ corporate events and sports activities
  • flexible schedule
  • comfortable office in the downtown near metro station/ or remote work.
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