Machine Learning Reply

(Senior) Machine Learning Engineer (m/f/d)

Job description

Machine Learning Reply offers consulting and software implementation services with focus on innovative AI and ML topics like Natural Language Processing, Computer Vision, Time Series Analysis, Machine Learning Platforms and more.

In our Unit Machine Learning Engineering we currently hire talents with Data Engineering and Cloud know-how who would like to develop not only PoCs but productive machine learning applications or platforms including automatic unit tests and end-to-end tests, automatic deployment pipelines, mechanisms for scaling in the cloud, monitoring solutions and operations support. We call this profile “Machine Learning Engineer”. You should love to see the ML algorithms working for millions of users, devices, sensors, etc., making the world a smarter, safer, more interesting, and/or more efficient place to live.


  • Combine expertise in data pipelines and machine learning with innovative thinking to deliver excellent client work
  • Work together with Data Scientists to develop models for classification, prediction, natural language processing, recommendation, reinforcement learning, deep learning, computer vision and other Data Science-related tasks, including a good data preparation for best model performance
  • Define solution architectures using current on-premise and/or cloud technologies and discuss them with the client
  • Design machine learning solutions for a team working at or for the client
and possibly lead a team of developers
  • Help the customer with important decisions as a senior consultant
  • Conduct assessments of machine learning use case feasibility
Support the customer in operating the solution in a professional way

  • Stay on top of emerging technologies, and partner with market-leading technology organizations to understand and leverage their products
  • Take advantage of our team, learning resources, hackathons, and other sources to drive your technical development and be present in the machine learning community

  • You have at least 2 years of work experience in industry or consulting and developed systems that are in production
  • You have a strong background developing data-intensive applications like Data Warehouses, Data Lakes and/or Data Platforms
  • You have solid experience developing code using typed and/or untyped languages like Java/Scala or Python, object oriented design, and good coding standards
  • A good understanding of relational databases (e.g. Oracle, MySQL, PostgreSQL, SQLServer) and/or NoSQL databases (e.g. Elasticsearch, HBase, Cassandra) would be a plus
  • You have experience or would like to build large scale productive machine learning applications
  • You have experience or would like to build solutions using distributed big data technologies like Hadoop or Spark or their cloud-based equivalents
  • You have experience with versioning and deployment tools and CI/CD pipelines based on e.g. git, GitLab CI or Jenkins
  • Experience with Front-end Web Development Technologies like HTML, CSS, Django, Vaadin, Play etc. would be a plus.
  • You have a high level of customer orientation and excellent communication skills
  • You are willing to travel
  • You are fluent in English and have at least intermediate proficiency in German (willing to improve)
  • You hold a Bachelor’s and/or Master’s degree in informatics, business informatics, mathematics, statistics or equivalent field of study
Why us?

  • Bonuses are focused on personal growth (e.g. trainings) or sharing knowledge with the team and are mutually agreed with your Manager
  • You will work in a great multicultural team on interesting projects with new technologies
  • We have several team-building events throughout the year (Knowledge Shares, Reply XChange, Summer & Winter workshop, Hackathons, Webinars, Brown Bag sessions etc.)
  • You can get free German lessons if necessary
  • It is easy to get involved on topics like recruiting, sales, marketing, account responsibility
  • Buddy program: You will get a buddy to help you get started

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