Remote Data Scientist

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Description:

  • The company is expanding its development teams and is looking for a Data Scientist to join their international AI/ML team.
  • The Data Scientist Engineer will be responsible for designing and developing AI solutions for challenging projects.
  • Responsibilities include building production-level ML/AI solutions, MLOps, automated deployment and monitoring, data analysis, developing and training ML models, and putting AI models into production.
  • The position involves working on challenging projects using cutting-edge technologies in an international environment, with the option to work from home or from the offices.

Requirements:

  • More than 5 years of experience in AI/Machine Learning/Computer Science.
  • Ability to build an "end-to-end software product" with a machine learning component.
  • Knowledge in applied computer vision.
  • Strong skills in Python and reasonable understanding of SQL.
  • Experience in building ML/deep learning pipelines and models, and implementing production-ready ML models.
  • Experience in MLOps and projects involving NLP.
  • Very nice to have: Experience with Deep learning frameworks, Big Data projects, RESTful web services, DevOps technologies, source code version control tools, and cloud-based solutions.
  • Familiarity with Azure Machine Learning, deep learning, neural networks, NLP, Computer Vision, recommendation systems, unsupervised learning, ranking systems, TensorFlow Lite, TensorFlow serving, grpc, unit testing, and object-oriented programming.

Benefits:

  • Salary determined by the market and experience.
  • Flexible schedule of 35 hours per week.
  • Fully remote work option.
  • Flexible compensation for restaurant, transport, and childcare.
  • Medical and dental insurance provided free of charge.
  • Individual budget for training and free Microsoft certifications.
  • English lessons.
  • Birthday day off.
  • Monthly bonus for electricity and Internet expenses.
  • Discount on gym plan and sports activities.
  • Annual team-building event.
  • Opportunity to work with the latest technological tools.
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