Senior MLOps Engineer

Quick Facts

• Salary: 1100–1600 PLN/month (MD)

• Work model: flexible hybrid (1 day/week from the office) in Gdańsk, Kraków, or Warsaw

Description

Join a new fintech project focused on building and developing modern machine learning solutions. You will design and operate production model serving infrastructure, orchestrate ML workflows, and manage the ML lifecycle with MLflow. The role also supports advanced release techniques and scalable infrastructure for event-driven and streaming/CDC-based architectures.

Responsibilities

• Design and operate model serving infrastructure in production

• Orchestrate ML workflows with Apache Airflow

• Use MLflow for experiment tracking, model registry, and deployment workflows

• Implement safe ML releases (A/B testing, shadow deployments, advanced release strategies)

• Work with streaming platforms and CDC architectures

• Apply Infrastructure as Code and event-driven architecture patterns

• Build highly available, scalable, and resilient distributed systems

• Contribute to cloud cost optimization and FinOps practices

Requirements

• 6+ years of experience in MLOps engineering or closely related platform engineering roles

• 4+ years of experience designing and operating model serving infrastructure in production environments

• Strong expertise in Python

• Hands-on experience with Databricks (ML workloads and platform integrations)

• Strong knowledge of Apache Airflow for workflow orchestration

• Advanced experience with Kubernetes and containerized environments

• Practical experience with MLflow for experiment tracking, model registry, and deployment workflows

• Strong understanding of production ML operations and the ML lifecycle

• Experience with A/B testing, shadow deployments, and advanced model release strategies

• Experience with streaming platforms and CDC architectures

• Strong knowledge of Infrastructure as Code (IaC) principles and tools

• Experience designing and implementing event-driven architectures

• Understanding of cloud cost optimization and FinOps

• Experience building highly available, scalable, resilient distributed systems

• Strong communication skills and ability to work across engineering and data teams

• Fluent English communication skills

Benefits

• Flexible work organization

• International work environment with opportunities to collaborate with leading experts

• Software with real impact—used by millions of users

• Integration meetings and community activities via the Jit Community