Machine Learning Engineer Job at VirtusLab (Kielce)

Machine Learning Engineer

VirtusLab

Location:
Poland , Kielce ▼
Kraków
Wrocław

Category:
IT - Software Development

Contract Type:
B2B

Salary:

21000.00 - 27000.00 PLN / Month

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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

Additional Information:

Job Posted:
January 17, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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