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VirtusLab Logo VirtusLab · IT - Software Development

Machine Learning Engineer

Poland, Kielce B2B 21000.00 - 27000.00 PLN / Month · Job Posted January 17, 2026
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Job Description

This project is centered on the critical mission to restore cell health and resilience through cell rejuvenation, ultimately aiming to reverse disease, injury, and age-related disabilities. You will be dedicated to developing generative AI/ML models tailored for multi-modal and multiscale biology. The engineering goal is to create scalable, robust systems that partner with world-class scientists to generate biological insights that lead to the development of novel therapies.

Job Responsibility

  • Build and manage the entire lifecycle of machine learning models
  • Create robust pipelines that handle everything from data input to model deployment
  • Use PyTorch to develop models
  • Use MLFlow to track every experiment and manage model versions
  • Manage computational resources on Slurm
  • Keep ML infrastructure running smoothly on AWS
  • Design and implement efficient training pipelines for machine learning models
  • Configure and execute hyperparameter optimization experiments using Optuna
  • Set up experiment tracking and model registry workflows with MLFlow
  • Manage compute resources and job scheduling on Slurm clusters
  • Build and optimize inference pipelines for model deployment
  • Develop data pipelines to support training and inference workflows
  • Deploy and maintain ML infrastructure on AWS

Requirements

  • 5+ years of hands-on machine learning engineering experience
  • Strong proficiency in PyTorch for model development, training, and deployment
  • Experience with MLFlow for experiment tracking, model versioning, and lifecycle management
  • Practical experience with AWS services
  • Proven ability to design, build, and maintain data pipelines for ML workflows
  • Experience with data preprocessing, feature engineering, and ETL processes
  • Familiarity with data validation and quality assurance practices
  • Strong understanding of ML best practices, including reproducibility and versioning
  • Experience with containerization (Docker) and orchestration tools
  • Familiarity with CI/CD practices for ML systems
  • Strong problem-solving skills and attention to detail
  • Fluency in English, both written and spoken (at least B2 English level)

What we offer

  • Flexible hybrid work model
  • Home office reimbursement
  • Language lessons
  • MyBenefit points
  • Private healthcare
  • Training Package
  • Virtusity / in-house training
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