open source ai engineers (time series), multiple roles

consultant cloud infrastructure (all genders)

principal engineer for automotive camera signal processing (f/m/x)

software-entwickler für software-defined defence im service (w/m/d)

ai platform engineer (w/m/d)

open source ai engineers (time series), multiple roles Jobs in Ulm

open source ai engineers time series multiple roles

sktime

<div>
 <p>
  Join sktime on the interface between open source development and real world use cases! We&rsquo;re a fast-growing ecosystem building powerful, developer-first tools with Python at the core. Our mission is to empower AI practitioners in the private and public sector with easily deployable and sovereign AI software.
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  We are looking for multiple Open Source AI Engineers to help lead development and innovation around sktime - the open-source Python library for AI with time series - and the GC.OS software stack.
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  You'll work at the intersection of software engineering, industry applications, and community development, helping shape the future of time series AI.
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  <strong>
   What You'll Do
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   Design, implement, and maintain features and extensions for the sktime.
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   Work in a community of practice with multiple industry use case settings, to define deployment standards and APIs.
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   Develop new features for forecasting, classification, or detection within sktime's modular framework.
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   Lead open-source engineering best practices &mdash; CI/CD, testing, documentation, and release management.
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   Engage with the open-source community: review PRs, mentor contributors, and guide design discussions.
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   Drive integration and interoperability with adjacent ecosystems (e.g., scikit-learn, PyTorch, Hugging Face).
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   Support internal and partner teams adopting sktime in production pipelines.
  </li>
 </ul>
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  <strong>
   What We&rsquo;re Looking For
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  <strong>
   Required Skills &amp; Experience
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   experience in AI/ML engineering or applied AI development, 5+ years for senior role, 2+ years for junior role
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   Proven track record contributing to or maintaining Python libraries (preferably open-source).
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   Strong software engineering background: Python, NumPy, pandas, scikit-learn, PyTorch, pytest, and git/GitHub workflows.
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   Experience with time series analysis, forecasting, or signal processing.
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   (for Senior:) Familiarity with API design, modular architectures, and performance optimization in Python.
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   Excellent communication and collaboration skills, (for Senior:) track record in leading community discussions or code reviews.
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 </ul>
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  <strong>
   Nice to Have
  </strong>
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   Contributions to sktime, related libraries (scikit-learn, PyTorch, statsmodels, PyTorch Forecasting, etc.), or the GC.OS software stack.
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   Knowledge of MLOps tools (MLflow, DVC, Airflow) or deployment frameworks.
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   Experience building interactive dashboards or front-end interfaces for data visualization (e.g., Streamlit, Dash, Plotly, or React-based tools).
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   Familiarity with pharma, life sciences, or energy sector use cases, such as demand forecasting, predictive maintenance, or clinical time series analysis.
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   Background in research software engineering or scientific computing.
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   Experience in mentoring contributors or leading open-source governance processes.
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  <strong>
   Why Join Us
  </strong>
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   Work at the heart of the open-source time series ML ecosystem.
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   Collaborate with world-class contributors, industry teams, and research groups.
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   Shape the technical direction of one of the most widely used time series libraries.
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   Competitive compensation, flexible remote work, and conference travel support.
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   Be part of a mission to make open, transparent, and democratically governed AI tooling the global standard.
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  <strong>
   Apply Now
  </strong>
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  If you love Python, AI, and connecting with real world use cases, we&rsquo;d love to hear from you. Apply with your CV and track record via this form: Job application form &ndash; Fill in form
 </p>
</div>


Open Source AI Engineers (time series), multiple roles

HENSOLDT

<div>
 <strong>
  &Uuml;ber den Bereich
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 Der Bereich "Digital Office" sucht zum n&auml;chstm&ouml;glichen Zeitpunkt einen "AI Platform Engineer (w/m/d)" an unserem Standort in Taufkirchen oder Ulm.
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 Wir bauen eine Enterprise AI Plattform, auf der Large Language Models und andere AI-Services produktiv im Unternehmen eingesetzt werden k&ouml;nnen. Daf&uuml;r betreiben wir eine GPU-basierte on-premise Infrastruktur auf Kubernetes, &uuml;ber die unsere internen Teams auf skalierbare ML und AI-Services zugreifen k&ouml;nnen.
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 Als "AI Platform Engineer (w/m/d)" arbeiten Sie an der technischen Grundlage dieser Plattform - von der Infrastruktur &uuml;ber Model- und LLM-Lifecycle bis hin zu stabilen AI-Services f&uuml;r interne Anwendungen.
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 Sie arbeiten eng mit dem Team rund um Enterprise AI, als auch Stakeholdern von Portfolio AI zusammen, um strategische AI-Konzepte in skalierbare, produktive Plattforml&ouml;sungen zu &uuml;berf&uuml;hren.
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 Der Fokus der Rolle liegt auf Platform Engineering an der Schnittstelle von DevOps, MLOps und LLMOps: Sie verbinden Build-&amp;-Run (CI/CD, IaC, Kubernetes-Betrieb), Model-Lifecycle (Training/Pipelines, Versionierung, Promotion) und LLM-Lifecycle (Serving, Guardrails, Evaluierung, Monitoring) zu zuverl&auml;ssigen, skalierbaren und sicher betreibbaren Services.
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  Ihre Aufgaben
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 <ul>
  <li>
   Aufbau und Weiterentwicklung unserer AI Plattform auf Kubernetes
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   Deployment und Betrieb von Large Language Models (LLMs) auf GPU-Servern
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   Aufbau und Betrieb performanter Model-Serving und Inference-Services
  </li>
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   Etablierung von MLOps-Standards und Betrieb und Weiterentwicklung der on-prem MLOps-Plattform (u.A. ClearML, OpenShift)
  </li>
  <li>
   Aufbau von LLMOps-Workflows f&uuml;r produktive GenAI-Services (Serving/Runtime-Konfiguration, Guardrails &amp; Policies, Evaluierung/Regressionstests, Kosten- &amp; Qualit&auml;ts-Monitoring)
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   Containerisierung und Deployment von AI-Services mit Docker und Kubernetes
  </li>
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   Skalierung und Optimierung von GPU- und CPU-Workloads
  </li>
  <li>
   Entwicklung stabiler AI-APIs und Services f&uuml;r interne Anwendungen
  </li>
  <li>
   Aufbau von Monitoring, Logging und Observability f&uuml;r AI-Systeme
  </li>
  <li>
   Automatisierung von Infrastruktur-, Plattform- und Model-Releases (CI/CD, GitOps, Infrastructure-as-Code) inkl. sicherer Rollouts, Rollbacks und Standardisierung von Deployments
  </li>
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   Analyse und Optimierung von Performance, Skalierung und Stabilit&auml;t
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  </li>
 </ul>
 <strong>
  Ihr Profil
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   Abgeschlossenes Studium der Wirtschaftsinformatik, Informatik, Data Science oder eine vergleichbare Qualifikation
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   Erfahrung im Aufbau oder Betrieb von Cloud-, Plattform- oder Infrastruktur-Systemen
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   Gute Kenntnisse in Kubernetes und Container-Technologien
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   Erfahrung mit Microservices, APIs und verteilten Systemen
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   Erfahrung in MLOps/LLMOps (Model-/Prompt-Lifecycle, Serving, Evaluierung, Monitoring) sowie an produktiven AI-Systemen
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   Erfahrung mit DevOps-Praktiken wie CI/CD, GitOps, Infrastructure-as-Code und Betriebs-/Release-Prozessen von Vorteil
  </li>
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   Erfahrung mit GPU-Workloads oder High-Performance-Systemen von Vorteil
  </li>
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   Strukturierte, selbstst&auml;ndige Arbeitsweise und Freude daran, komplexe Systeme zu betreiben und zu verbessern
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   Kommunikations- und Moderationsst&auml;rke im Austausch mit Fachbereichen und IT
  </li>
  <li>
   Gute Deutsch- und Englischkenntnisse
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  </li>
 </ul>
 Do you want to become part of a future-oriented company? And are you ready to take on responsibility in exciting international and national projects? Then you are our candidate!
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 Please apply exclusively online via our career portal with your CV and references.
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 In case you have any further questions, please do not hesitate to contact our Recruiting Team: jobs@hensoldt.net
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 Find out more about HENSOLDT and our jobs: www.hensoldt.net/career
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 <strong>
  Become our next pioneer. Apply now and become part of the HENSOLDT team!
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  <br/>
 </strong>
 HENSOLDT is committed to diversity and an inclusive corporate culture. We therefore welcome all applications - regardless of origin, age, gender, disability, identity or ideology.
</div>


AI Platform Engineer (w/m/d)

BMW Group

<p></p><div><div><p>At BMW Car IT, a wholly owned subsidiary of BMW AG, we live and breathe software. We design and implement embedded software for electronic control units of the BMW cars as well as related tools and frameworks. By delivering software all the way from the idea to the final product we lead BMW into the future of digitalization and mobility.</p><p>
Our team develops innovative camera and video solutions for next-generation automotive systems. We collaborate across disciplines to deliver robust, high-performance software for advanced driver assistance and infotainment functions.</p><p><b>
What awaits you?</b></p><ul><li>
You will be the Technical Lead for automotive camera image signal processing and sensor-related software development.</li><li>
Here, you lead technical development of video pipelines and signal streams for SerDes-based cameras, including image quality tuning and diagnostics.</li><li>
Additionally, you support onboarding suppliers and coordinate technical topics with external partners.</li><li>
Furthermore, you are hands-on in implementation, integration, debugging, and optimization of camera pre-processing components.</li><li>
You collaborate closely with functional owners, system architects, SoC and sensor suppliers, and middleware teams.</li><li>
Moreover, you ensure implementation aligns with software design and BMW requirements through code reviews. You contribute to system and software architecture by translating concepts into solutions, defining and validating technical requirements, and developing optimizations to enhance system performance and stability.</li><li>
You act as a technical mentor and go-to expert for camera pre-processing within the domain.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
University degree in computer science, electrical engineering, communications engineering or a comparable field of study.</li><li>
Several years of professional experience in embedded software development and quality assurance in the automotive industry with focus on camera-based systems.</li><li>
Technical background in embedded Linux software development.</li><li>
Profound knowledge in camera image processing, video pipelines, image quality tuning and sensor configuration for automotive systems.</li><li>
Experience with serial camera interfaces and protocols (e.g. GMSL, FPD, ASA-ML, CSI, I&sup2;C).</li><li>
Experience with embedded development and analysis tools (e.g. Wireshark, Carmen, Perfetto, FTrace, Visual Studio Code etc.)</li><li>
Excellent analytical, communication, and teamwork skills; business‑fluent English is required, German is an advantage.</li></ul><p>
Would you like to take a technical leadership in shaping camera signal processing for future automotive platforms? Apply now!</p><p><b>
Note: </b>Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.</p><p><b>
What we offer in Ulm?</b></p><ul><li>
Company car option.</li><li>
English speaking teams in an intercultural setting.</li><li>
Flexible organisation of working times &amp; mobile work arrangements.</li><li>
Career development &amp; continuous personal qualification.
</li><li>Relocation Services for our new employees.</li></ul><p></p><p><b><br>
Earliest starting date:</b> from now on</p><p><b>
Type of employment:</b> unlimited<br>
<b>Working hours:</b> full-time</p><p></p><p><br>
You can find helpful tips on your application and the application process.</p><p>
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.</p></div></div><p></p>
<br><div><div>Legal Entity:</div>
<div><div>BMW Car IT GmbH
</div></div><div>Location:</div>
<div>Ulm
</div><div>Job Field:</div>
<div>Software Development
</div><div>Job Id:</div>
<div>182267</div>
<div>Publication Date:</div>
<div>26.03.2026</div></div>

Principal Engineer for Automotive Camera Signal Processing (f/m/x)

Explore 3+ Open source ai engineers time series multiple roles in Ulm this July. Find roles across top companies and apply now to boost your career.

3 open source ai engineers time series multiple roles jobs In Ulm

Open Source AI Engineers (time series), multiple roles

AI Platform Engineer (w/m/d)

Principal Engineer for Automotive Camera Signal Processing (f/m/x)