Senior MLOps Engineer

About us

At QualityMinds, we specialize in software quality assurance, development, and DevOps services. With an experienced team, we deliver innovative solutions, working with both large and medium-sized companies. Our portfolio includes test automation, performance testing, development services, and DevOps support. We are actively involved in the tech community, organizing lectures and training sessions. The Polish branch consists of a team of 65 specialists working on domestic and international projects. Our greatest strength and value are our people. We believe that the best results are achieved through passion and positive energy.

About the role

Deploying and maintaining machine learning models on Kubernetes clusters

Design, build, and maintain scalable infrastructure for training, testing, deploying, and monitoring ML models

Supporting a small team of data scientists and machine learning engineers in the maintenance and development of their infrastructure

Making suggestions on how to build new (or improve upon existing) data infrastructure solutions

Investigating and fixing arising problems on system, deployment, or application levels

Automate ML pipelines (data preprocessing, training, validation, and deployment)

Implement CI / CD, infrastructure as code, and best DevOps practices in ML environments

Ensure observability and reliability of deployed models (logging, metrics, tracing, alerts, performance monitoring)

Optimize resource usage and cloud costs

Support continuous improvement and introduce new tools and standards for the ML platform.

Requirements

10 years of professional IT experience

5+ years of hands-on experience in MLOps or ML Engineering

Bachelor’s degree or higher in Computer Science or related field

Fluent in spoken and written English (minimum B2 level, mandatory)

Proven experience in MLOps and deploying machine learning models on Kubernetes (via e.g. MLflow, KServe, Ray, ollama, vLLM)

Experience in administering Linux OS

Knowledge how to build, operate and maintain container images

Familiarity with Azure DevOps, AKS, GKE, and Terraform for CI / CD and infrastructure as code

Strong understanding of cloud-native platform architecture and distributed system design

Experience with relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis, Cassandra, Neo4j)

Proficiency in monitoring and observability tools (Prometheus, Grafana, loki, ELK stack or similar)

Familiarity with Agile methodologies (Scrum, Kanban) and DevOps / MLOps practices

Ability to design and implement data-driven applications using multiple programming languages (Python, C++, Java, R, JavaScript, C#)

Nice to have

Experience with jupytelab or general jupyter deployments (e.g. JupyterHub, Kubeflow Notebooks

Familiarity with data engineering tools (Databricks, Clickhouse, DuckDB)

Familiarity with event / message streaming platforms (Kafka, rabbitmq)

Experience with cost optimization and security best practices in cloud environments

Experience with additional tools for data processing (spark, pandas, OpenCV) and visualization (tensorboard, matplotlib)

Background in building end-to-end ML infrastructure pipelines integrating CI / CD, monitoring, and performance tuning

German language skills will be considered a strong advantage

We offer

Fully remotely or in-house work at our office in Warsaw

Flexible working schedule

Medical care (LuxMed or PZU Zdrowie)

MyBenefit or Pyszne.pl

Self-development opportunities

Internal & external trainings

Certification opportunities

English / German conversations with native speakers

International teams and projects

We are excited to meet passionate technology enthusiasts ready to drive meaningful change. If you see yourself thriving in this role, we encourage you to apply through our application form and become part of our innovative team at QualityMinds!