14 beste Stellen als machine learning engineer in leinfelden echterdingen, bw – aktuell auf Personalsuche

Data Scientist
Agile Defense —Stuttgart
- Azure
- SQL
- AWS
Direkt bewerben
AI Engineer (w|m|d)
BridgingIT GmbH —Stuttgart
- 50.000 € – 80.000 € pro Jahr
- Vollzeit
- Azure
- SQL
- AWS
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
AI Data Engineer (Mensch)
Neura Robotics GmbH —Metzingen
- Vollzeit
- Azure
- Englisch
- Java
- Mitarbeiter-Rabatt
- Flexible Arbeitszeiten
Robotic Foundation Model Engineer (Mensch)
Neura Robotics GmbH —Metzingen
- Vollzeit
- Azure
- Englisch
- Master
- Mitarbeiter-Rabatt
- Flexible Arbeitszeiten
Robotic Foundation Model Engineer (human)
Neura Robotics —Metzingen
- Vollzeit
- Azure
- Informatik
- Englisch
Direkt bewerben
Senior Data Platform Engineer (m/w/d)
GFT Technologies SE —Stuttgart
- Azure
- Englisch
- SQL
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
Data Engineers, Analysts & Scientists (w|m|d)
BridgingIT GmbH —Stuttgart
- Vollzeit
- Azure
- Informatik
- SQL
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
AI Data Annotation Specialist (Mensch)
Neura Robotics —Metzingen
- Vollzeit
- Azure
- Informatik
- Ingenieurwissenschaft
Direkt bewerben
AI Data Annotation Specialist (human)
Neura Robotics —Metzingen
- Vollzeit
- Azure
- Informatik
- AWS
Direkt bewerben
Azure Data Factory & Spark Data Engineer (w|m|d)
BridgingIT GmbH —Stuttgart
- 50.000 € – 79.000 € pro Jahr
- Vollzeit
- Homeoffice
- Azure
- SQL
- Machine Learning
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Group Lead AI Engineering (Mensch)
Neura Robotics GmbH —Metzingen
- Vollzeit
- Azure
- Doktorat
- Informatik
- Mitarbeiter-Rabatt
- Flexible Arbeitszeiten
Senior Data Scientist Vehicle Ordering Process (intelligent Built to Match) (d/m/w/x)
Mercedes-Benz Group AG —Stuttgart
- Online-Bewerbung
- Hybrides Arbeiten
- Azure
- Master
- SQL
- Gleitzeit
- Mitarbeiter-Rabatt
10 Tage
Data Engineering Consultant (w/m/x) - Germany
Avanade —Stuttgart
- Azure
- Englisch
- SQL
- Weiterbildungsprogramme
10 Tage
Team Lead AI Engineering (all genders)
MHP - A Porsche Company —Ludwigsburg
- Teilzeit
- Azure
- Englisch
- AWS

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Data Platform Engineer - Palantir
Accenture Federal Services —Stuttgart
Experience aggregating and analyzing multiple data feeds into customer-facing dashboards. Experience developing workshop applications with enhanced user…
110.000 € – 140.000 € pro Jahr
(Senior) Big Data Engineer (m/f/d)
Lehmann + Pioneers Digital GmbH —Leinfelden-Echterdingen
The challenges of processing large amounts of data and data-driven processes based on current big data technology interest you and drive you forward.

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machine learning engineer jobs near leinfelden echterdingen, bw

Data Scientist

Agile Defense -
Stuttgart

Direkt bewerben

Details zur Stelle

Qualifikationen

TensorFlow
Azure
Spark
Tableau
SQL
AWS
Bachelor
Machine Learning
Agile
Datenvisualisierung
Kommunikationsfähigkeit
Python

Vollständige Stellenbeschreibung

About Agile Defense

At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.

Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.

Requisition #: 1590

Job Title: Data Scientist

Location: In Person: Falls Church, VA \u007C Ft. Meade, MD \u007C Stuttgart, Baden-Württemberg, Germany \u007C Tampa, FL \u007C Honolulu (Camp H.M. Smith), HI \u007C Colorado Springs, CO \u007C Doral (Miami area), FL \u007C Omaha (Offutt Air Force Base), NE \u007C Scott Air Force Base, IL

Clearance Level: Top Secret with the ability to obtain an SCI, Must Have Clearance to Start

Job Descripton

Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense’s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.

You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.

This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.

Education and Background

A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience

Required Skills

4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark

Preferred Skills

Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).
Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).
Strong understanding of data validation, model testing, and performance evaluation techniques.
Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.
Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.

Working Conditions

Requires work onsite in a SCIF

Our Core Values

Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.

What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.

Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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machine learning engineer Jobs in leinfelden echterdingen, bw

Data Scientist

AI Engineer (w|m|d)

AI Data Engineer (Mensch)

Robotic Foundation Model Engineer (Mensch)

Robotic Foundation Model Engineer (human)

Senior Data Platform Engineer (m/w/d)

Data Engineers, Analysts & Scientists (w|m|d)

AI Data Annotation Specialist (Mensch)

AI Data Annotation Specialist (human)

Azure Data Factory & Spark Data Engineer (w|m|d)

Group Lead AI Engineering (Mensch)

Senior Data Scientist Vehicle Ordering Process (intelligent Built to Match) (d/m/w/x)

Data Engineering Consultant (w/m/x) - Germany

Team Lead AI Engineering (all genders)

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