Machine Learning Engineer (AWS) @ VirtusLab

Project Scope

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.

Tech Stack

Python, PyTorch, MLFlow, AWS, ETL

Seems like lots of expectations, huh? Don’t worry! You don’t have to meet all the requirements.

What matters most is your passion and willingness to develop. Apply and find out!

A few perks of being with us

• Building tech community
• Flexible hybrid work model
• Home office reimbursement
• Language lessons
• MyBenefit points
• Private healthcare
• Training PackageVirtusity / in-house training
• And a lot more!

What we expect in general :

Project Scope

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.

Tech Stack

Python, PyTorch, MLFlow, AWS, ETL

Seems like lots of expectations, huh? Don’t worry! You don’t have to meet all the requirements.

What matters most is your passion and willingness to develop. Apply and find out!

A few perks of being with us

,[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 : Machine Learning, PyTorch, MLflow, AWS, Data pipelines, ETL, Quality assurance, Docker Additionally : Building tech community, Flexible hybrid work model, Home office reimbursement, Language lessons, MyBenefit points, Training Package, Virtusity / in-house training.