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: №2311 issued on 13.07.2017, valid indefinitely.
