Senior ML Engineer

Summary

Join GetInData | Part of Xebia, a leading data company, as an ML Engineer and play a critical role in developing and optimizing machine learning algorithms. You will design and architect machine learning workflows, implement CI/CD pipelines, and collaborate with stakeholders and platform engineers. This 100% remote position offers flexible hours and the possibility to work from a Warsaw office. The company provides opportunities for professional development, international projects, and workshops. Compensation includes a competitive salary, plus benefits such as co-financing for sports and healthcare.

Requirements

• 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)

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

Preferred Qualifications

Knowledge of Airflow, Kedro, and Kubernetes is a plus

Benefits

• Salary: 170 - 220 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
• Co-financing sport card
• Co-financing health care
• All equipment needed for work