Senior Machine Learning & Data Engineer

Kennziffer: 
Reference number: 
10096
Einsatzort: 
Location: 
Stuttgart
Beschäftigungsart: 
Type of employment: 
Festanstellung
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The company is a globally operating high-tech corporation that develops innovative, sustainable, and safety-relevant solutions across various technological domains. Its focus lies in the development of modern, efficient systems and digital services. As a European-driven technology organization, the company actively shapes the future of intelligent, autonomous, and connected solutions.

To develop the next generation of autonomous systems, the company is consolidating its expertise in artificial intelligence and autonomous technologies at a newly established, agile development site. This site combines long-standing high-tech experience with the dynamic energy of a modern, innovation-driven AI competence center.

 
 

Aufgaben

Your tasks

As a Senior Machine Learning Engineer & Data Engineer (m/f/d), you take on the technical leadership role at the core of AI development. You don’t just develop algorithms—you shape the entire intelligent ecosystem. You make the key architectural decisions regarding models, frameworks, and data infrastructures that ultimately determine success.

Architectural Leadership & Model Development

  • You lead the design of state-of-the-art machine learning models, especially in the areas of computer vision and sensor fusion.
  • You define the standards for their implementation and training.

Advanced MLOps & Integration

  • You strategically advance the development of MLOps pipelines.
  • You ensure seamless and automated integration of models and data processes into critical systems.

Strategic Data Infrastructure

  • You design and build highly scalable and robust ETL/ELT data pipelines capable of processing large volumes of multimodal sensor data in real time.

Responsibility for the Data Platform

  • You take full ownership of the design and optimization of the central data platform (data lake/warehouse).
  • You ensure data availability, quality, and security.

Technical Mentoring & Excellence

  • You elevate the technical performance of the team by coaching junior engineers.
  • You demonstrate high code quality and establish best practices in engineering.

Profil

Your profile

  • A Master’s or PhD degree in Computer Science, Data Science, or a related field.

  • Several years of proven, hands-on experience in designing and building large-scale, mission-critical ML systems.

  • An outstanding track record in both deep-learning model development and sophisticated data engineering (big data technologies, cloud platforms).

  • Excellent command of Python and SQL, with deep expertise in common ML frameworks (e.g., PyTorch) and data tools (e.g., Spark, Databricks).

  • Experience mentoring team members and a passion for continuously raising the technical bar.

  • The ability to translate complex strategic goals into elegant and robust technical architectures.

  • C1-level English proficiency.

Your Benefits

Benefits

  • An attractive compensation package, flexible working hours (40% remote), and excellent opportunities for professional and personal growth.

  • A unique opportunity to contribute to groundbreaking future technologies within the new Competence and Development Center and actively shape their development.

  • An inspiring work environment that blends the innovative power of a startup with the stability and experience of an established technology hub.

  • A team of exceptionally talented professionals working together toward a long-term, visionary mission.

 

We are currently hiring for several positions including Senior Data Engineer (m/f/d), DevOps Engineer (m/f/d), and Machine Learning Engineer (m/f/d).

Through our close cooperation with the executive management of our partner, we support you personally and confidentially throughout the entire application process—transparent, individualized, and at eye level.

Your contact person is Gerrit Walter (gerrit.walter@paltron.com).
Brief question about the role? Feel free to call directly: 0151-41473036.

You can submit your documents quickly, securely, and confidentially via the “Apply now” button.

We look forward to getting to know you!

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