Senior Machine Learning Engineer - Computer Vision

dmTECH

Job

In this position, you will develop computer vision systems, train and evaluate ML models for object detection, address technical queries, and ensure the reliable operation of the systems.

Job summary

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Job technologies

Your role in the team

  • Development of the technical vision for our computer vision systems and implementation with the team - from the ML model to stable operation.
  • Training, evaluation, and further development of our computer vision models (object detection and object tracking in video) as well as determining and analyzing their quality based on metrics such as precision, recall, and mAP.
  • Ensuring the interplay of data, model, software, and operations, as well as cross-layer identification of root causes of errors, rather than shifting them around.
  • Translation between the technical and the specialist side as well as technical management of external service providers and internal colleagues.
  • Make technically informed decisions regarding architecture and costs.
  • Transition of the systems from the pilot phase to a robust and scalable operation.

Our expectations of you

Qualifications

  • Comprehensive understanding of technical contexts across an entire processing chain, enjoyment in penetrating unresolved problems and developing viable solutions, as well as quick onboarding into complex, unfamiliar topics.
  • Strong ownership mindset with the ability to not only develop data-driven systems but also to take responsibility for them and ensure reliable operation.
  • Strong communication skills in the professional leadership of specialists as well as external service providers and in translating between technical and non-technical domains.
  • Excellent German and English skills for internal communication in German as well as communication with external service providers in English, each at C1 level.

Experience

  • Several years of practical experience in the development, training, and evaluation of ML/CV models (object detection, object tracking); proficient in metrics such as Precision, Recall, and mAP.
  • Extensive practical experience in professional software development with clean, production-ready code following TDD rather than solely exploratory scripts or notebooks (ideally in Python), as well as experience with common ML frameworks (e.g., PyTorch) and experiment management tools (e.g., Mlflow).
  • Ideally, experience with Cloud (GCP) and containers (Docker) as well as with ML-based video processing in real-time on specialized hardware (e.g., NVIDIA DeepStream, TensorRT) or with camera systems and video analysis.

What we offer

  • Dialogical corporate culture: The individual strengths and ideas of our employees are the foundation for the (further) development of our IT products. We approach new technologies openly, actively test and utilize our decision-making freedom to achieve the best possible results.
  • For your retirement planning, we offer various supplementary services tailored to individual needs: from a subsidy for your company pension scheme, an attractive disability insurance, to programs for your physical and mental health, as well as partnerships with health insurance providers or fitness studios and in-house courses for your well-being. Corporate social management completes the range of services.
  • The digital dm learning world offers you over 250 seminars and workshops, accessible anytime and anywhere — from project management to technical training. You have access to the Udemy learning platform with its wide range of courses and can also participate in external events and further training.
  • For a balanced work-life balance: flexible working hours, remote work, a 37.5-hour workweek, and 30 vacation days. During a "Workation," you can even combine vacation and work.
  • Our spaces in "dialogicum" are bright, spacious, and modern. The latest technology and ergonomic furniture make your tasks easier. In the "culinarium," we offer you fresh meals daily, healthy snacks, and sweet treats at a fair price.
  • We are happy to share the success of our team with you – through benefits such as holiday and Christmas bonuses, special payments, and shopping vouchers. You will also receive a 10% employee discount in all German dm stores and enjoy exclusive offers for dm employees in many online shops. Additionally, twice a year, you can lease the latest smartphones, tablets, or laptops for personal use at favorable rates.
  • With a subsidy for the "Germany Ticket Job," you can travel affordably. If you prefer cycling, you can also use the JobRad®. Our premises offer plenty of parking spaces, e-charging stations, and a bicycle garage. A suburban train station and access to the highway are located nearby.

Benefits

Topics you will work on

Job locations

Map of the job locations
© OpenMapTiles, © OpenStreetMap contributors
  • Location Karlsruhe
    Baden-Württemberg, Germany

About your employer

We are dmTECH, the IT subsidiary of dm-drogerie markt, and develop intelligent solutions for our online store dm.de, checkout systems, the Mein dm app, logistics systems and much more.

Company size
250+ Employees
Founding year
1988
Company type
Established Company
Work model
Onsite, Hybrid
Industry
Trade · Internet, IT, Telecommunication
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Senior Machine Learning Engineer - Computer Vision

dmTECH