At cloudatus, we help customers drive technical solution design, development, deployment and support them alongside their cloud journey. As an all-cloud service and consulting provider for midsize and large enterprises, at cloudatus we speak cloud fluenty: IaaS, PaaS, SaaS… – you name it. Being part of digatus, a German IT services and consulting group, we can now leverage its actionable insights. We seek new talents to join our engineering teams to advance our international projects.

Job description: 

Embark on a journey of continuous growth and advancement as an MLOps Engineer, where you will become an integral member of our talented engineering team, catering to the diverse needs of our clients. 

Take your expertise to new heights with cloudatus by delivering responsive, reliable and adept technical assistance to ensure seamless operation and maintenance of messaging environments. 

At cloudatus, you will: 

• Creating concept and building MLOps platforms (Azure, Kubernetes, Databricks) tailored to specific project requirements
• Consulting in data architecture and data platforms topics 
• Overseeing the entire lifecycle of Machine Learning models, ensuring their successful deployment, monitoring, and ongoing maintenance
• Designing and developing pipelines for training and deploying ML models
• Working with Data Engineering team to integrate ML models into production environments

Required technical and professional expertise: 

• Proficient in working with cloud platforms (Azure, AWS or GCP) and capable of designing cloud-native applications utilizing services such as serverless functions, batch processing, managed Kubernetes, relational databases, object storage, data warehouses, message queues, streaming, and serverless ML platforms
• Experience with deployment of applications in Kubernetes environments
• Practical knowledge of Terraform or other Infrastructure-as-a-Code solutions 
• Hands-on experience in programming in Python in particular in AI/ML related use cases (ML pipelines development, model serving)
• Expertise in optimizing ML systems with automation, monitoring, and version control tools
• Comprehensive understanding of machine learning, including deep learning, large language models (LLMs), applied data science methods, and ML algorithms, with strong software engineering and DevOps skills

Nice to have: 

• Experience in vehicle communication (FOTA/POTA) 
• Experience in analytics of e-Powertrain 
• German language skills

This role requires collaboration with customers from all around the world, therefore fluency in English is required (minimum B2 level).

Benefits: 

• B2B or employment contract 
• Working with latest technologies 
• Industry leading healthcare and comprehensive medical coverage (Luxmed) 
• Opportunities to enhance your qualifications  
• Customizable 1-on-1 English or German lessons  
• Modern computer equipment 
• Opportunities to network and connect (get-togethers, team-building events) 
• Employee referral programme 
• Flexible working schedule 

Location: Rzeszów, but this role is flexible in that you can work up to 100% from home or opt for more business-y settings in our office. It’s all up to you. 

Take your expertise to new heights and gain the most in-demand skills. 

Sounds like a fit? Let’s talk.