SAP
Lead AI Developer(m/w/x)
Full-time/Part-timeOn-siteSenior
Garching bei München
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Developing multimodal agents with Python, Databricks, and LangGraph for client impact. Generative AI models and MLOps tools experience required. Work in an AI Lab focused on GenAI solutions.
Requirements
- University degree in quantitative or technical field with excellent academic achievements
- Experience with generative AI models/frameworks and MLOps tools
- Understanding of modern machine learning and GenAI techniques
- Proficiency in Python for data processing and ML tasks
- Expertise in SQL or PySpark for data manipulation
- Familiarity with cloud platforms and DevOps practices
- Excellent English communication skills
- German language skills are a plus
- Ability to thrive in fast-paced, collaborative environment
Tasks
- Design and implement advanced AI solutions
- Collaborate with the AI team on real-world challenges
- Write clean, maintainable code for scalable solutions
- Develop multimodal agents using Python, Databricks, SQL, Docker, and LangGraph
- Automate workflows for efficiency
- Establish tooling and infrastructure for AI model deployment
- Deploy AI models on platforms like Azure, AWS, or GCP
- Document processes thoroughly
- Present findings to stakeholders and clients
- Stay updated on data science and generative AI advancements
Education
- Bachelor's degree
Languages
- English – Native
- German – Basic
Tools & Technologies
- generative AI models
- generative AI frameworks
- MLOps tools
- Python
- SQL
- PySpark
- cloud platforms
- DevOps practices
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roland Berger and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Developing multimodal agents with Python, Databricks, and LangGraph for client impact. Generative AI models and MLOps tools experience required. Work in an AI Lab focused on GenAI solutions.
Requirements
- University degree in quantitative or technical field with excellent academic achievements
- Experience with generative AI models/frameworks and MLOps tools
- Understanding of modern machine learning and GenAI techniques
- Proficiency in Python for data processing and ML tasks
- Expertise in SQL or PySpark for data manipulation
- Familiarity with cloud platforms and DevOps practices
- Excellent English communication skills
- German language skills are a plus
- Ability to thrive in fast-paced, collaborative environment
Tasks
- Design and implement advanced AI solutions
- Collaborate with the AI team on real-world challenges
- Write clean, maintainable code for scalable solutions
- Develop multimodal agents using Python, Databricks, SQL, Docker, and LangGraph
- Automate workflows for efficiency
- Establish tooling and infrastructure for AI model deployment
- Deploy AI models on platforms like Azure, AWS, or GCP
- Document processes thoroughly
- Present findings to stakeholders and clients
- Stay updated on data science and generative AI advancements
Education
- Bachelor's degree
Languages
- English – Native
- German – Basic
Tools & Technologies
- generative AI models
- generative AI frameworks
- MLOps tools
- Python
- SQL
- PySpark
- cloud platforms
- DevOps practices
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roland Berger and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Roland Berger
Industry
Consulting
Description
Das Unternehmen entwickelt Strategien für die Transformation der Energiebranche in Zusammenarbeit mit führenden Energieversorgern und politischen Entscheidungsträgern.
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