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ENEnmacc

Head of Applied AI/Data(m/w/x)

München
Full-timeWith Home Office
AI/ML
Data Science

Leading AI-first platform transition for Europe's largest energy trading marketplace. Unifying distributed data talent and developing predictive models for energy trading required. Hybrid & workation flexibility, 28 days annual leave.

Requirements

  • Proven experience in Machine Learning
  • Modern LLM development
  • Working with OpenAI/Anthropic APIs
  • Working with open-source models
  • Working with vector stores
  • Working with agentic workflows
  • Full stack understanding
  • Data warehousing knowledge
  • Model monitoring knowledge
  • Ability to lead technical implementation
  • Genuine interest in trading domain
  • See potential for AI in energy markets
  • Excited to define new department culture
  • Excited to define new department tech stack
  • Excited to define new department workflows

Tasks

  • Lead enmacc’s transition to an AI-first trading platform
  • Unify distributed data talent into a high-performance subdepartment
  • Develop predictive models for energy trading
  • Implement anomaly detection and optimization algorithms
  • Oversee the centralization of Data Science capabilities
  • Maintain high standards for model validation and feature engineering
  • Lead the adoption of LLMs and Generative AI
  • Build production-ready RAG systems
  • Develop agentic workflows and NLP solutions for unstructured data
  • Integrate AI features deeply into the product
  • Create evaluation frameworks for AI solutions
  • Foster a culture of rapid prototyping and experimentation
  • Build and lead a unified Data & AI team
  • Develop and deploy LLM-powered features
  • Explore RAG for domain knowledge and automated trade summarization
  • Create intelligent market assistants
  • Drive the ML roadmap for product development
  • Identify competitive advantages through predictive modeling and NLP
  • Provide hands-on technical mentorship
  • Discuss vector databases and prompt evaluation
  • Implement CI/CD for ML (MLOps)
  • Translate trading requirements into technical AI solutions
  • Partner with Product and Business leaders

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Machine Learning
  • LLM development
  • OpenAI APIs
  • Anthropic APIs
  • vector stores
  • agentic workflows
  • data warehousing
  • model monitoring

Benefits

Flexible Working

  • Hybrid & Workation flexibility

Startup Environment

  • Entrepreneurial culture
  • AI-first environment

Informal Culture

  • Flat hierarchies
  • Inclusive, international team
  • Modern, dog-friendly offices

Other Benefits

  • High autonomy

Learning & Development

  • €2,000 annual L&D budget
  • Language classes

More Vacation Days

  • 5 dedicated Level Up days

Parking & Commuter Benefits

  • Commute & Wellness support
  • Paid transportation for office days

Healthcare & Fitness

  • Fully covered gym memberships

Modern Equipment

  • Premium tech & workspaces
  • Top-tier Apple/Bose hardware
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Enmacc 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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