ML Engineer

Grafton Recruitment • Bulgaria
Remote
This Job is No Longer Active This position is no longer accepting applications

Job Description

Grafton is a global player, specializing in IT profiles. We partner with forward-looking companies to discover and engage with highly skilled technical professionals.

One of our partners is looking for a skilled Machine Learning Engineer to join their team.

Main Responsibilities

  • Design, develop, and optimize machine learning models in one or more solutions including asset generation and capture, render enhancement, scene intelligence and optimization and intuitive design interactions.
  • Mentor other engineers and contribute to the growth of the team’s knowledge and expertise in machine learning.
  • Collaborate with cross-functional teams to understand requirements and gather feedback to refine one or more initiatives.
  • Work closely with MLOps Engineer to develop and maintain pipelines for training, validating, testing and deploying machine learning models across our portfolio.
  • Ensure high-quality code and documentation, following best practices in software development and machine learning.

Job Requirements

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
  • 5+ years of experience developing and deploying machine learning models in production environments.
  • Strong expertise in one or more of relevant fields including : 3d computer graphics, geometry processing, asset generation, scene understanding, natural language processing, real-time collaboration, and intelligent design optimization techniques.
  • Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.

Benefits

  • Salary above market average;
  • Fully remote option;
  • Generous vacation and paid time off;
  • Professional development opportunities to enhance your skills;
  • Exciting and challenging projects;
  • Opportunity for growth and advancement within the company.

Apply now!

Company license: â„–2311 issued on 13.07.2017, valid indefinitely.

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