Senior Machine Learning Engineer (m/f/d)

  • Hirschau Zentrale
  • Fulltime
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About us

Conrad is conquering the world of technical trade with innovative strength. Our goal is to become Europe's leading B2B sourcing platform for all technical business needs with our uniquely broad and deep product range and customised services. That is why we operate across all channels and are available around the clock with a professional online shop for both business customers and end customers. Our technology can be experienced by everyone in our local branches.

These tasks are waiting for you

  • You will work closely with cross-functional teams of experienced Engineers, Data Scientists, and Product Owners who are all passionate about creating a world-class experience for all Conrad users
  • Taking ownership of the implementation, testing, and delivery of impactful ML products in terms of performance, reliability, time, and cost using agile methodologies is part of your responsibilities
  • You will manage and monitor the performance of ML products in production
  • You contribute to accelerating the impact of ML at Conrad through AI tools and infrastructure 
  • As part of the team, you'll be responsible for maintaining and driving best practices in code design, quality, and efficiency 
  • Improving the existing machine learning infrastructure is your responsibility 

Who we are looking for

  • Degree in computer science, preferably M.S. degree.
  • You have at least 3 years of hands-on experience as a machine learning engineer for machine learning or in a similar role
  • You have a good understanding of machine learning algorithms and software engineering fundamentals
  • You should have a deep understanding of Python and its ecosystem, especially frameworks for data science and machine learning such as NumPy, Scipy, Pandas, Scikit-learn
  • You have experience with cloud providers such as GCP (preferred), AWS, Azure.
  • As well as experience with frameworks for large scale data processing such as Spark, EMR, Hadoop
  • You're also familiar with one or more container ecosystems (Docker, Kubernetes) 
  • You already have experience with CI/CD in a ML context, MLOps
  • As well as confidence in working with REST frameworks (Flask, FastAPI ...).
  • Furthermore, you bring experience with distributed runtime systems, their performance optimization and the improvement of their resilience 
  • You are fluent in written and spoken English and have good communication skills 

Nice to have
  • You have experience with building data pipelines and orchestrating them with Apache Airflow
  • You have knowledge of machine learning lifecycle management platforms such as VertexAI, Amazon Sagemaker, MLflow, Domino Data Lab
  • You have already gained experience with streaming data processing
  • You have a good understanding of deep learning
  • Basic knowledge on your part in a deep learning framework such as TensorFlow or PyTorch

Your benefits

Job security
Our forward-looking, platform-based business model coupled with an agile crisis team gives our employees the security they need even in turbulent times - our successful fiscal year 2021 confirms this.

Working from home (WFH)
Our state-of-the-art IT infrastructure makes working from home a standard set-up across the entire company.

Many of our business areas operate a flexible working policy that allows you to organise your work day in a way that suits you best.

Individualised career development
Keeping your skills and knowledge up-to-date is essential. Which is why we offer a wide range of career development opportunities via our in-house Online Academy.

Daytime child care
We run a professional childminding centre based near our head office in Hirschau that affectionately looks after your little ones.

Special leave
About to become a parent? Getting married? Moving home? Take some time off for all those special occasions.

Health & Fitness
Employee health is something we take very seriously. This is why our comprehensive health package includes regular checks and preventive screenings. If you like being active and enjoy your workouts, there’s also our in-house sports club (Conrad Sportverein) that offers lots of different activities and training groups you can join.

Your Contact Person

  • Ms. Julia Müller
  • HR Business Partner
  • +49 9622 30-4259
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