Data Scientist

Recruiting Specialists
United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

Computer Vision Microsoft Azure Continuous Integration Python (Programming Language) Machine Learning Natural Language Processing Tensorflow Azure Machine Learning Management of Software Versions Speech Recognition Data Logging Chatbots
+6 more
Pytorch Large Language Models Deep Learning Pytest HuggingFace Docker

Job description

Because you’ll be building cutting-edge tech that powers entertainment for millions-where innovation meets impact, and your work directly shapes the future of digital gaming experiences.

What you’ll be doing:

  • Building smart ML models using image, text, audio & tabular data
  • Training pipelines in Azure and deploying end-to-end apps in Python
  • Creating tools for model inference, logging, and performance tracking
  • Collaborating with data and engineering teams to solve complex challenges
  • Staying ahead of the curve with the latest in LLMs, RAG, and CV/NLP trends

Requirements

Data Scientist (Computer Vision & NLP) Remote EU (must have right to work) 1-4 Years Experience, We’re on the hunt for a Data Scientist who’s obsessed with solving real-world problems using Computer Vision, NLP, and Deep Learning. If you’ve got 1-4 years of experience, right to work in EU, and a passion for building cool stuff with Python, we want to hear from you. We would LOVE you to have Speech Recognition and Chatbots Experience., * Solid Python skills + experience with PyTorch or TensorFlow
  • Hands-on with Docker, CI/CD, and testing frameworks like Pytest
  • Experience with model tracking, versioning, and performance metrics
  • Bonus points if you’ve worked with Azure ML, Huggingface, or LangChain

Benefits & conditions

  • Competitive salary
  • Training on industry best practices
  • Remote-first culture with a global team
  • Growth opportunities in a fast-moving tech company

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