Junior Machine Learning Engineer (m/w/d). Job in Gütersloh Move Collective Jobs

About Machine Learning Reply

Machine Learning Reply offers customized end-to-end solutions in the data science field, covering the entire project lifecycle – from initial strategy consulting, data architecture, and infrastructure topics to data processing and quality assurance using machine learning algorithms. Machine Learning Reply possesses comprehensive expertise in data science across all key industries of German HDAX companies. Machine Learning Reply empowers its clients to successfully introduce new data-based business models and optimize existing processes and products – with a focus on open-source and cloud technologies. Through the Machine Learning Incubator, the company provides a program for training the next generation of decision-makers, data scientists, and developers.

Responsibilities

• Our international team develops customized end-to-end solutions using machine learning for our clients. Our projects cover the entire lifecycle, from initial strategy consulting to implementation.
• If you are as passionate about programming and want to realize your ideas, join us!
• As a Machine Learning Engineer, you will support our clients in building, maintaining, and operating data-intensive cloud-based solutions with one of the major cloud providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
• With your knowledge of programming languages, you will deliver the right solutions for our clients in the field of machine learning.
• You will also use big data technologies (e.g., Apache Spark or Hadoop), databases, and batch or real-time data integration (e.g., Kafka or RabbitMQ).
• You will use CI/CD and DevOps paradigms to develop, deploy, and scale our solutions using Infrastructure as Code like Terraform, Helm, or Ansible and container-based technologies like Docker or Kubernetes.

Requirements

• We look forward to receiving your university degree in computer science or a related field.
• You have at least one year of professional experience in industry or consulting and have already developed production systems according to MLOps or DevOps principles.
• You also have practical experience with ML and cloud computing platforms or with Databricks or SnowFlake.
• Ideally, you have practical experience with or at least an interest in the diverse end-to-end machine learning engineering stack (Data Engineering, Microservices, Frontend and Backend Development).
• You communicate well and enjoy communicating in German and English.

Benefits

• Regular and systematic (external and internal) training opportunities in the areas of Generative AI, LLM Development, Cloud Architecture, and Data Science.
• Work in an open, flat environment within a broad Reply network for knowledge exchange.
• Award-winning office spaces in Munich city center with access to the Stammstrecke.
• Public transport ticket with Deutschlandticket.
• Contribution to your sports activities via EGYM Wellpass and other benefits of the Reply Group.
• Flexible work environment between clients, Reply office, and remote work.