Senior MLOps/Data Engineer

Your responsibilities:

• Build and deploy ML models (incl. time-series, anomaly detection, NLP, GenAI, deep learning).

• Perform data analysis, preprocessing, and statistical modeling.

• Design end-to-end data pipelines and data warehouse solutions (e.g., Snowflake).

• Implement cloud-based infrastructure and MLOps practices (AWS, Docker, Kubernetes, CI/CD).

• Automate infrastructure provisioning using Terraform/IaC.

• Create visualizations and simple apps (Streamlit/Posit/Tableau).

• Contribute to solution architecture and troubleshoot across the stack.

We are looking for you, if you have:

• Strong Python skills; experience with Kedro is a plus.

• Solid understanding of statistics, probability, and optimization.

• Experience with AWS, containerization, Kubernetes, CI/CD automation.

• Strong SQL and data engineering competencies.

• Familiarity with Agile (SCRUM/Kanban).

• Proactive problem-solver with clear communication skills.

• Business-level English proficiency.

Nice to Have:

• Knowledge of financial processes.

We offer:

• Participation in interesting and challenging projects.

• Flexible working hours.

• A great, non-corporate atmosphere.

• Opportunities for development and promotion.

• Attractive package of benefits.

• Work model: remote or hybrid (2 days per week from the office)

We reserve the right to contact the selected candidates.