QuantumBricks

Machine Learning Engineer

QuantumBricks United States

Responsibilities

  • build and deploy scalable machine learning models to solve real-world challenges,
  • translate business requirements into machine learning tasks and goals,
  • optimize data pipelines for model training and deployment,
  • implement automated processes for model updates and deployment,
  • ensure AI models integrate smoothly into client environments,
  • keep up with new technologies and methodologies and apply them in action,
  • share knowledge through deeptalks and workshops.

You Must Have

  • at least 4 years in Machine Learning, including experience in deploying models,
  • strong Python skills and familiarity with other object-oriented languages,
  • experience with machine learning frameworks (PyTorch) and big data technologies,
  • familiarity with Docker, Kubernetes, and cloud platforms for ML deployment,
  • very effective communication skills, both written and verbal,
  • ability to solve problems and communicate complex ideas effectively.

Bonus Skills

  • experience with Generative AI and Large Language Models (LLMs),
  • experience with Computer Vision projects,
  • familiarity with NoSQL and Vector databases,
  • exposure to backend engineering – asyncio, microservices, production databases.
  • Seniority level

    Mid-Senior level
  • Employment type

    Contract
  • Job function

    Engineering and Information Technology
  • Industries

    IT Services and IT Consulting

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