If you’re passionate about scalability, automated deployment, and well-optimized infrastructure, we want you on the IT Genetics development team!
What will you do?
ML Workflow Automation & Infrastructure
• Design end-to-end architecture for the automated training of ML models
• Create data pipelines to build relevant datasets and data annotation flows
• Monitor ML model performance and data drift
• Handle versioning, deployment, and integration with the software team
Model Deployment & Lifecycle Management
• Develop and manage CI/CD pipelines for building, testing, and deploying models
• Apply best practices for model versioning, rollback, and A/B testing to ensure reliable and accurate production releases
System Monitoring & Troubleshooting
• Set up a robust monitoring system and develop automated alerting solutions to proactively identify issues in data pipelines, model training, validation, and data variation
• Promote MLOps best practices (Infrastructure as Code, reproducibility, security) and continuously improve internal processes to increase reliability and efficiency
Research & Innovation
• Research and implement cutting-edge technologies to improve training efficiency (e.g., distributed training, HPC, multi-GPU strategies) for the research team
• Explore future MLOps frameworks and GPU-based cloud solutions as part of the scalability roadmap
• Collaborate with product managers and software engineers to identify AI/ML opportunities and develop innovative solutions
What are we looking for?
• University degree, preferably in engineering (software, industrial, mechanical, process) or a related field
• Over 5 years of experience in MLOps or machine learning engineering, with a focus on deploying and managing deep learning models at scale
• Strong skills in Python, CI/CD pipelines, and ML frameworks (e.g., PyTorch, TensorFlow, OpenCV) for automating and scaling ML workflows
• Expertise in monitoring and alert automation for ML workflows, including data pipelines, training processes, and model performance (e.g., Prometheus, Grafana)
• Familiarity with distributed training techniques, multi-GPU strategies, and hardware optimization for deep learning
• Strong communication and interpersonal skills
What are we offering?
• Meal tickets – for your well-deserved breaks.
• A place where your voice truly matters – your ideas are heard and put into action.
• Performance bonuses – we value work done with passion.
• A day off on your birthday – celebrate it your way.
• Private medical subscription – for your health and your family’s well-being.
• Trainings and learning resources – we invest in your continuous development.
• Hybrid work model – real balance between work and personal life.
• Bookster subscription – get your favorite books delivered for free.
• A friendly, passionate, and solution-oriented team.
• Opportunities to grow or change your role within the company.
