20 beste Stellen als cloud software engineer in olching – aktuell auf Personalsuche

Data Science Intern (all genders)
SKD SE —München
- Teilzeit
- Informatik
GenAI Engineer (m/w/d)
attempto GmbH & Co. KG —München
- Teilzeit
- Master
- Datenbanken
- Mathematikkenntnisse
Software Engineering Manager (d/f/m)
Entrix —München
- 115.000 € – 135.000 € pro Jahr
- Vollzeit
- Informatik
- Bachelor
- Führungserfahrung
Direkt bewerben
Principal DevOps Engineer (all genders)
Expleo —München
- Azure
- Informatik
- DevOps
- Gleitzeit
- Homeoffice-Möglichkeit
Senior Applied AI / ML Application Engineer (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Führungserfahrung
- Flexible Arbeitszeiten
AI Platform Engineer (m/f/x)
Scalable GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
- Bachelor
Direkt bewerben
DevOps Platform Engineer (m/f/d) Munich
Prodig GmbH —München
- 65.000 € – 75.000 € pro Jahr
- Informatik
- Master
- Bachelor
Founding Engineer
DL Remote —München
- Bis zu 100.000 € pro Jahr
- Azure
- AWS
- Analysefähigkeit
- Homeoffice-Möglichkeit
9 Tage
Junior Software Engineer Schwerpunkt Projektmanagement (m/w/d)
Steadforce —München
- Teilzeit
- Informatik
- Datenbanken
- Scripting
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Senior Backend / Infrastructure Engineer (m/w/d) für das INSPO Team // Remote möglich
E. Breuninger GmbH & Co. —München
- Vollzeit
- Kommunikationsfähigkeit
- Homeoffice-Möglichkeit
Direkt bewerben
Azure Cloud Engineer (m/w/d) für Conigma™ Connect
Galileo Group AG —München
- Hybrides Arbeiten
- Azure
- Informatik
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
JUNIOR AI-DRIVEN PLATFORM ENGINEER (M/W/D)
Düsseldorf, Köln —München
- Hybrides Arbeiten
- Informatik
- Azure
- Informatik
- Weiterbildungsprogramme
Forward Deployed Engineer (m/f/d)
KI group GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Master
- Bachelor
Junior DevOps Engineer
ALL IN GROUP —München
- Vollzeit
- DevOps
- Agile
- Künstliche Intelligenz
- Gleitzeit
- Homeoffice-Möglichkeit
Werkstudent Cloud Engineering & AI-Integration (w/m/x)
BMW —München
- Teilzeit
- Informatik
- Java
- AWS
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Praktikant Data and AI Engineering Supply Chain (w/m/x)
BMW —München
- Vollzeit
- Azure
- Informatik
- Datenanalyse
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Software Engineer – Backend (m/f/d) Munich
Prodig GmbH —München
- 60.000 € – 80.000 € pro Jahr
- Informatik
- Master
- Bachelor
Software Engineer III, Open Cloud Networking
Google —München
- 106.000 € – 108.000 € pro Jahr
- Vollzeit
- Bachelor
- Ohne Hochschulabschluss
14 Std.
JUNIOR AI SOLUTIONS ENGINEER (M/W/D)
München —München
- Azure
- Informatik
- Master
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Staff Data Scientist - Trading (d/f/m)
Entrix —München
- 115.000 € – 135.000 € pro Jahr
- Vollzeit
- Informatik
Direkt bewerben

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cloud software engineer jobs near olching

Data Science Intern (all genders)

SKD SE
München

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Teilzeit

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Informatik
Signalverarbeitung

Vollständige Stellenbeschreibung

Munich

Part-time

Intern / Student

About Us

STARK is a new kind of defence technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high-performance unmanned systems that are software-defined, mass-scalable and cost-effective. This provides our operators with a decisive edge in highly contested environments.

We’re focused on delivering deployable, high-performance systems—not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe—today.

About the team

The Flight Science team is responsible for analysing, processing and interpreting data generated throughout the development and testing of our autonomous systems. By combining advanced analytics, statistical modelling and engineering expertise, the team transforms complex flight and operational data into actionable insights that improve system performance, reliability and operational capability. Working closely with software, robotics and flight test engineers, the team supports data-driven decision making across the product development lifecycle.

Your mission

As a Data Science Intern / Working Student, you will analyse flight and operational data to generate insights that improve the performance of our autonomous systems. You will develop predictive models, perform statistical analysis and collaborate with engineers to transform complex sensor data into meaningful recommendations that support engineering decisions.

Responsibilities

Perform exploratory data analysis to identify patterns, trends and anomalies within flight test and operational data.
Develop, train and evaluate predictive models and statistical algorithms to support engineering and product development.
Create visualisations and reports that communicate technical findings clearly to engineering stakeholders.
Collaborate with Flight Science engineers to design experiments and validate hypotheses using real-world sensor data.
Develop data processing workflows to prepare and enrich datasets for modelling and analysis.
Document methodologies, experiments and analytical results to support knowledge sharing and reproducibility.
Support the evaluation of performance metrics for software-defined features and autonomous system capabilities.

Qualifications

Currently pursuing a degree in Data Science, Computer Science, Physics, Mathematics or a related technical field, with at least three completed semesters.
Strong Python programming skills for data analysis and machine learning.
Solid understanding of statistics and machine learning fundamentals.
Experience using SQL to query and manage relational databases.
Familiarity with data visualisation libraries such as Matplotlib or Plotly, or comparable BI tools.
Experience using Git or other version control systems.
Strong English communication skills, both written and spoken.
Availability to work full-time for a six-month internship or part-time (15–20 hours per week) as a working student.

Nice to have

Experience with deep learning frameworks such as PyTorch or TensorFlow.
Familiarity with time-series analysis, sensor data or signal processing.
Basic knowledge of cloud platforms (AWS, Azure or GCP) or Docker.
Experience translating complex analytical findings into practical recommendations for technical or business stakeholders.

About us

SECURITY CLEARANCE
Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process.

EQUAL OPPORTUNITY
We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, or any other characteristic protected by applicable law.

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Staff Data Scientist - Trading (d/f/m)

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