Cloud Engineer
Munich, Bayern, Germany
Machine Learning Reply
Machine Learning Reply ist das Unternehmen der Reply Gruppe, das auf maßgeschneiderte End-to-End-Lösungen im Data-Science-Bereich spezialisiert ...We are looking for a talented and highly skilled Consultant with a technical background to join our team. As a Consultant, you will be responsible for providing expert guidance and technical support to our clients in leveraging cloud-based machine learning solutions, with a specific focus on AI Platforms, both using On-Premises systems and Cloud Providers. The ideal candidate for this role possesses a solid background in Server Engineering, Software Development, knowledge of Cloud Solutions, and shares our passion for Data and AI.
Responsibilities:
- Consult with clients to understand their business objectives and machine learning requirements.
- Design, develop, and maintain scalable, robust AI/ML platforms to support end-to-end workflows.
- Build and optimize infrastructure to support ML model training, deployment, monitoring, and version control.
- Collaborate with cross-functional teams to implement machine learning models and algorithms.
- Stay up to date with the latest trends and advancements in cloud-based technologies, specifically in AWS and Azure.
- You can advise clients on strategic decisions and you take ownership of the implementation of the suggested solutions.
- Ensure proactive fulfillment of security-related requirements.
What we offer you:
- Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)
- Broaden your skills through interdisciplinary work and training in the areas of data engineering, cloud architecture, and data science
- Benefit from industry-leading cooperations in the cloud, BI, and AutoML field
- Very active social program - including training, conferences, team buildings, Reply Exchange, communities of practices, and hackathons
- Work in an open, flat environment, within a broad Reply knowledge-sharing network
- Award-winning office space in downtown Munich with access to “Stammstrecke”
- Public transport ticket with Deutschlandticket
- Gym-membership subsidy for a gym of your choice
- Flexible work environment between client, Reply office, and remote work
Requirements
Minimum Job Requirements / Qualifications:
- Successfully completed university studies with a strong quantitative background, for example in Business Informatics, Data Science, Informatics, Computer Science, or similar.
- Previous experience and/or interest in the area of Artificial Intelligence projects and Cloud.
- Project experience, either through internships or similar corporate experience, in designing complex Cloud-based solutions.
- Expertise in networking technologies, storage systems, virtual environments, and container technologies such as Docker and Kubernetes.
- Skilled in managing and maintaining Linux-based on-premises infrastructure.
- Comprehensive knowledge of CI/CD pipelines, automation tools, and Infrastructure as Code (IaC) technologies like Terraform or CloudFormation.
- Expertise in Python.
- Experience employing and managing databases (SQL, NoSQL)
- Experience in leading and executing software projects for cloud migration and optimization
- Ability to convincingly communicate and present analytical results to management.
- We cover the full lifecycle of Data, from Cloud Infrastructure, Data Engineering, Data Analytics, and Visualization to ML Engineering to and MLOps. Interest and/or experience in some of those fields is an advantage.
- Fluent in English and able to speak German at least at a C1 Level.
Desired:
- Extensive experience working in cloud technologies (AWS, Azure).
- Certificates from Cloud Providers are an advantage.
- Understanding of underlying database infrastructure (data models, ETL processes).
- Expert at Kubernetes and/or Docker.
- 2+ years working on DevOps Projects or similar
- Interest in (agile) project management
What are you waiting for?
Join our team at Machine Learning Reply as a Consultant with focus on AI Platforms in Munich!
If you have any further questions or would like to apply, please do not hesitate to write directly to Timo Jäger (ti.jaeger@reply.de) or Jonas Heepen (j.heepen@reply.de).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Banking CI/CD CloudFormation Computer Science Data Analytics DevOps Docker Engineering ETL Kubernetes Linux Machine Learning ML models MLOps Model training NoSQL Pipelines Python Security SQL Terraform
Perks/benefits: Career development Conferences Fitness / gym Flex hours
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