MLOps Engineer – Enterprise AI Platform

Job not on LinkedIn

🔥 0 minutes ago

🇵🇱 Poland – Remote

💵 zł17k - zł21k / month

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 7%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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stermedia.ai

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2009

🤖 Artificial Intelligence

🤝 B2B

🏭 Manufacturing

Artificial Intelligence • B2B • Manufacturing

Stermedia. ai is a B2B AI and software engineering firm that builds custom artificial intelligence, robotic automation, cloud-based manufacturing software and product design solutions. Since 2009 it has provided digital transformation services including deep learning and data science, robotic/process automation, custom web and mobile application development, UX/product design, and cloud architecture (AWS/IBM). The company shows domain experience across manufacturing and automotive (AndonCloud manufacturing software and industry 4. 0 case studies), healthcare (medical imaging AI), HR/recruitment (CV/job-matching), media and public sector projects, and highlights competition wins and multiple client case studies demonstrating technical expertise.

📋 Description

• Build, automate, and scale production-grade AI and Machine Learning solutions • Transform ML models into reliable, scalable, and production-ready services • Work with modern cloud-native technologies • Automate ML workflows • Improve model deployment processes • Contribute to the development of enterprise AI infrastructure • Collaborate with Data Scientists, ML Engineers, and Cloud Engineers • Ensure machine learning systems are efficiently deployed, monitored, and maintained

🎯 Requirements

• 2+ years of hands-on experience in MLOps, DevOps, Cloud Engineering, Machine Learning Engineering, or a related field, including practical exposure to ML deployment or ML workflows • Good Python programming skills, including writing clean, maintainable, and testable code • Practical experience with Docker and deploying applications in Kubernetes environments • Hands-on experience with at least one major cloud provider: Azure, AWS, or GCP • Experience with automated build, test, and deployment pipelines using tools such as GitLab CI, GitHub Actions, or similar solutions • Understanding of ML workflows, model deployment, experiment tracking, and model lifecycle management • Familiarity with at least one orchestration tool, such as Kubeflow Pipelines, Apache Airflow, or Argo Workflows • Practical knowledge of Terraform or similar Infrastructure as Code tools • Familiarity with monitoring and logging tools such as Prometheus, Grafana, or equivalent solutions • English at B2+ level, sufficient for technical discussions, documentation, and everyday collaboration in an international environment • Nice to have: Experience with MLflow, including experiment tracking and model registry • Nice to have: Familiarity with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn • Nice to have: Experience with model serving technologies such as KServe, NVIDIA Triton Inference Server, vLLM, or ONNX Runtime • Nice to have: Knowledge of GitOps and deployment automation using Argo CD or Argo Rollouts • Nice to have: Experience with data drift detection, model monitoring, or ML observability tools • Nice to have: Familiarity with Apache Kafka, Apache Spark, or distributed data processing • Nice to have: Knowledge of GPU-based ML workloads, distributed training, or inference optimization • Nice to have: Experience with feature stores such as Feast or data versioning tools such as DVC • Nice to have: Understanding of cloud security, IAM/RBAC, and secrets management

🏖️ Benefits

• Working with new technologies from the machine learning and top-notch software development area • Budget on self-development per year • Possibility to contribute to a variety of interesting projects • Internal workshops • Personal branding (articles, conference speaker, internal workshop leader) • Flexible work hours • Remote work possibility • Chillout room / free beverages / team & company events • Friendly atmosphere • MultiSport • LuxMed

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