Aktiviere Job-Benachrichtigungen per E-Mail!

Commissioning Engineer in Mining (m/f/d)

Nerospec SK

Velbert

Vor Ort

EUR 50.000 - 90.000

Vollzeit

Vor 30+ Tagen

Erhöhe deine Chancen auf ein Interview

Erstelle einen auf die Position zugeschnittenen Lebenslauf, um deine Erfolgsquote zu erhöhen.

Zusammenfassung

An innovative firm is seeking a talented individual to manage high-quality datasets for machine learning. This role involves engaging with stakeholders to gather dataset requirements, coordinating data collection efforts, and building dashboards to monitor data quality. The ideal candidate will write efficient software in Python and work within an Agile development team. With a focus on professional growth and a flexible work environment, this opportunity is perfect for those passionate about technology and data management, aiming to contribute to a safer world through innovative solutions.

Leistungen

Flexible work environment
Professional growth and development
Access to training and certifications
Recognition for innovation
Opportunities to give back to the community
Inclusive work environment

Qualifikationen

  • Master's degree in relevant field and strong software skills in C++ and Python.
  • Experience with CI/CD, MLflow, and dashboard tools like Grafana.

Aufgaben

  • Collect and manage datasets for machine learning model training.
  • Coordinate data collection campaigns and build monitoring dashboards.

Kenntnisse

Software Development
Python
C++
Communication Skills
Agile Methodologies

Ausbildung

Master's degree in Computer Science
Master's degree in Electrical Engineering

Tools

CI/CD Pipelines
MLflow
Grafana
Kibana
Linux
Git
DVC
Make
CMake
Gerrit

Jobbeschreibung

Help collect, curate, ingest and manage high quality datasets that can be used to train and validate machine learning models.

Engage with different stakeholders to collect dataset requirements (scenarios, poses, ground truth, dataset distribution, etc) and create recording catalogs that can be shared with data collection teams.

Coordinate data collection campaigns with internal and external data collection teams.

Build dashboards to monitor datasets and annotations and their distribution according to various diversity metrics.

Use available state-of-the-art machine learning methods to generate automatic ground truth and automatic metadata tags.

Expand our web-based data management tools to enable convenient inspection of video data and annotations to identify corner cases and incorrect predictions.

Write high quality, well tested and efficient software in Python.

Work in an Agile SW development team (SCRUM).

Required Qualifications:
  • Master's degree in computer science, electrical engineering or related field.
  • Strong software development skills in both C++ and Python. You have a passion for clean, well-tested, and documented code.
  • Practical experience with CI / CD pipelines, MLflow, Dashboard (Grafana / Kibana).
  • Fluent in English. Excellent written and verbal communication skills & good interpersonal skills.
Preferred Qualifications:
  • Theoretical understanding of artificial intelligence, neural network architectures, model building and evaluation.
  • Experience with ML workflow tools and related processes (e.g. MLflow, Kubeflow).
  • Practical experience with Linux, version control systems (e.g. Git, DVC), build systems (Make, CMake, Autotools) and code review tools (Gerrit, Gitlab, Bitbucket).
Aptiv Benefits:
  • Our working style: flexible work environment.
  • Learning, professional growth and development in a world-recognized international environment.
  • Access to internal & external training, coaching & certifications.
  • Recognition for innovation and excellence.
  • Opportunities to give back to the community.
  • You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.
  • You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.
Hol dir deinen kostenlosen, vertraulichen Lebenslauf-Check.
eine PDF-, DOC-, DOCX-, ODT- oder PAGES-Datei bis zu 5 MB per Drag & Drop ablegen.