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.
We offer
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!
Nice to have
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.
We offer
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!
,[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: Degree, MLOps, Machine learning, Kubernetes, Linux, Azure DevOps, Terraform, Infrastructure as Code, DevOps, CI/CD, Database, Monitoring tools, Observability tools, Python/Java/C++/Javascript/C#, Jupytelab, Kafka, Spark Tools: . Additionally: Private healthcare, International projects, Remote work, Certificates, MyBenefit, Training budget, Flat structure, Language courses, Sport subscription, Lunch card, Free coffee, Free snacks, No dress code.