ML / DevOps Engineer (m/f/d)
📝 Twój zakres obowiązków
Your responsibilities, Design, develop, and maintain end-to-end CI/CD pipelines in GitLab for ML apps/services (tests, quality gates, image building, artifact versioning, multi-env deployments)., Containerize apps/services with Docker, prepare Helm/K8s manifests., Maintain Kubernetes clusters: stability, security, scalability, collaborate on changes and troubleshooting., Manage on-prem K8s clusters: upgrades, config, capacity planning, issue support., Implement observability (Prometheus, Grafana, ELK/Loki) for metrics, logs, alerts., Handle model/data versioning and artifacts with Data Science teams., Basic Python/ML integration for production models (API/batch)., Ability to work in a dynamic environment and build solutions from scratch.
3+ years DevOps/SRE/MLOps experience with production systems., Strong Kubernetes: workloads (Deployments, StatefulSets, Jobs/CronJobs), networking (Ingress/Service), storage (PVC/CSI), autoscaling, prod diagnostics., Docker expertise (builds, optimization, hardening), Helm/Customize., GitLab CI/CD pipelines (environments, artifacts, rollouts/rollbacks)., Python + ML libs (scikit-learn, PyTorch/TensorFlow) for model packaging., Observability: Prometheus/Grafana/ELK-Loki, alerts & incident analysis., Linux + automation (bash, IaC welcome)., Fluent English and Polish (both written and spoken)., Creative, open-minded, and proactive approach to problem-solving., Ability to work in a dynamic environment and build solutions from scratch.
Optional, GPU on K8s (labeling, affinities, monitoring)., MLOps tools (MLflow, Kubeflow, Airflow)., IaC (Terraform/Ansible)., Regulated environments (pharma/finance).
This is how we work, in house, you develop several projects simultaneously, you have influence on the choice of tools and technologies, you have influence on the technological solutions applied, you develop the code "from scratch", you focus on code maintenance
work-organization-team-members
Team members, devOps
This is how we work on a project, DevOps
Development opportunities we offer, mentoring, soft skills training, technical knowledge exchange within the company, time for development of your ideas
What we offer, Daily cooperation and know-how exchange with experts., Additional benefits: a prepaid lunch card, private medical care, subsidized sports card, and office fruit provision., Internal Development initiatives, including soft & leadership skills training programs., Recognition Program., Employee Referral Program., Support & incentive bonus for completing Ph.D., Various sports and engagement initiatives.
Benefits, private medical care, remote work opportunities, integration events, corporate sports team, no dress code, meal passes, employee referral program, charity initiatives
Selvita, Selvita is a global integrated service provider with laboratories in Poland (Krakow, Poznan, and Wroclaw), Croatia (Zagreb), and offices in Cambridge, UK, as well as the Greater Boston Area and San Francisco Bay Area in the US. Our company is dedicated to delivering comprehensive solutions that support our international clients in drug discovery and drug development., , As one of the largest preclinical contract research organizations in Europe, Selvita is driven by a clear mission: to bridge the gap between early drug discovery and the clinical stage of drug development., , At Selvita, we value partnership, excellence, passion, commitment, and integrity. We build strong, collaborative relationships with our clients and commit to the highest standards of quality. We fuel our pursuit of innovative solutions with enthusiasm, advance drug development with focused dedication, and ensure honesty and transparency in all our work., , Join us at Selvita, where these values guide our mission to advance drug discovery to the clinical stage of drug development.
About the project
We are seeking a ML / DevOps Engineer to join our team to support the software development and biotechnology departments, addressing the evolving needs of both areas. You will work on internal projects within a biotechnology environment focused on AI, GPU cluster operations, and building the company’s global MLOps stack. This is a newly created role that combines maintaining and developing DevOps infrastructure with building MLOps capabilities from the ground up. In addition to daily responsibilities related to CI/CD pipelines, Kubernetes environments, and system reliability, you will play a key role in designing and implementing our future MLOps ecosystem. This position requires a hands-on, proactive mindset – we are looking for someone who enjoys working in less-defined environments, is comfortable with manual and evolving processes, and is motivated to create new solutions rather than follow fully established ones.
⚙️ Praktyki developerskie
This is how we work on a project, DevOps
📝 Opis główny / Wstęp
work-organization-team-members
Team members, devOps
About the project
We are seeking a ML / DevOps Engineer to join our team to support the software development and biotechnology departments, addressing the evolving needs of both areas. You will work on internal projects within a biotechnology environment focused on AI, GPU cluster operations, and building the company’s global MLOps stack. This is a newly created role that combines maintaining and developing DevOps infrastructure with building MLOps capabilities from the ground up. In addition to daily responsibilities related to CI/CD pipelines, Kubernetes environments, and system reliability, you will play a key role in designing and implementing our future MLOps ecosystem. This position requires a hands-on, proactive mindset – we are looking for someone who enjoys working in less-defined environments, is comfortable with manual and evolving processes, and is motivated to create new solutions rather than follow fully established ones.
Your responsibilities
- Design, develop, and maintain end-to-end CI/CD pipelines in GitLab for ML apps/services (tests, quality gates, image building, artifact versioning, multi-env deployments).
- Containerize apps/services with Docker, prepare Helm/K8s manifests.
- Maintain Kubernetes clusters: stability, security, scalability, collaborate on changes and troubleshooting.
- Manage on-prem K8s clusters: upgrades, config, capacity planning, issue support.
- Implement observability (Prometheus, Grafana, ELK/Loki) for metrics, logs, alerts.
- Handle model/data versioning and artifacts with Data Science teams.
- Basic Python/ML integration for production models (API/batch).
- Ability to work in a dynamic environment and build solutions from scratch.
🎁 Co oferujemy (Dodatkowe detale)
Benefits, private medical care, remote work opportunities, integration events, corporate sports team, no dress code, meal passes, employee referral program, charity initiatives
Selvita, Selvita is a global integrated service provider with laboratories in Poland (Krakow, Poznan, and Wroclaw), Croatia (Zagreb), and offices in Cambridge, UK, as well as the Greater Boston Area and San Francisco Bay Area in the US. Our company is dedicated to delivering comprehensive solutions that support our international clients in drug discovery and drug development., , As one of the largest preclinical contract research organizations in Europe, Selvita is driven by a clear mission: to bridge the gap between early drug discovery and the clinical stage of drug development., , At Selvita, we value partnership, excellence, passion, commitment, and integrity. We build strong, collaborative relationships with our clients and commit to the highest standards of quality. We fuel our pursuit of innovative solutions with enthusiasm, advance drug development with focused dedication, and ensure honesty and transparency in all our work., , Join us at Selvita, where these values guide our mission to advance drug discovery to the clinical stage of drug development.
About the project
We are seeking a ML / DevOps Engineer to join our team to support the software development and biotechnology departments, addressing the evolving needs of both areas. You will work on internal projects within a biotechnology environment focused on AI, GPU cluster operations, and building the company’s global MLOps stack. This is a newly created role that combines maintaining and developing DevOps infrastructure with building MLOps capabilities from the ground up. In addition to daily responsibilities related to CI/CD pipelines, Kubernetes environments, and system reliability, you will play a key role in designing and implementing our future MLOps ecosystem. This position requires a hands-on, proactive mindset – we are looking for someone who enjoys working in less-defined environments, is comfortable with manual and evolving processes, and is motivated to create new solutions rather than follow fully established ones.