Senior ML Engineer

About role

ML Engineers share fundamental responsibilities in streamlining machine learning project lifecycles. They are dedicated to designing and automating workflows, implementing CI/CD pipelines, ensuring reproducibility, and providing reliable experiment tracking. Their responsibilities also include collaborating with stakeholders and platform engineers, leveraging expertise in infrastructure setup, model deployment, monitoring, and proficiency with cloud platforms and data processing.

Responsibilities

• Playing a critical role in developing new algorithms and optimizing existing ones
• Adding significant pieces of functionality to the application, largely based on user
• feedback
• Optimizing ML pipelines
• Taking the initiative and proposing new approaches
• Designing and architecting machine learning workflows/machine learning lifecycle process
• Implementing ML workflows / automating CI/CD pipelines
• Collaborating with Platform Engineers to set the infrastructure required to run MLOps processes efficiently

• Salary: 170 - 200 PLN net + VAT/h B2B (depending on knowledge and experience)
• 100% remote work
• Flexible working hours
• Possibility to work from the office located in the heart of Warsaw
• Opportunity to learn and develop with the best Big Data experts
• International projects
• Possibility of conducting workshops and training
• Certifications
• Co-financing sport card
• Co-financing health care
• All equipment needed for work

• Strong proficiency in Python with experience in the NumPy, Pandas, and SciPy stack
• Experience in writing advanced SQL queries
• Comfortable using Git
• Experience with containerization technologies like Docker
• Familiarity with Google Cloud Platform (or other cloud services)
• Understanding of fundamental statistical concepts (e.g., Bayes’ rule, linear regression, maximum likelihood estimation)
• Knowledge of Airflow, Kedro, and Kubernetes is a plus