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enmacc —München
- Vollzeit
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Head of Applied AI (m/f/d)

enmacc
München

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Homeoffice-Möglichkeit
Mitgliedschaft im Fitnessstudio

Qualifikationen

CI/CD
Master
Machine Learning
Computerlinguistik
APIs
Künstliche Intelligenz

Vollständige Stellenbeschreibung

Founded in 2016 and headquartered in Munich, enmacc is a high growth scale-up with a diverse team of over 100 professionals. We're passionate about energy, technology, and building something that makes a real impact. If you are looking for an entrepreneurial environment where your work directly contributes to a more sustainable and digital energy future, we invite you to submit your application below.

Your mission:

As the Head of Applied AI, you will lead enmacc's transition into an AI-first trading platform. You will unify our distributed data talent into a high-performance subdepartment, spearheading a dual-track strategy: leveraging Classical Data Science for market intelligence and Modern LLM Development for product automation. You are the bridge between raw energy market data and the intelligent features that will define the future of commodity trading.

Your Responsibilities

1. Data Science & Predictive ML

Market Intelligence: Drive the development of predictive models, anomaly detection, and optimization algorithms tailored to the energy trading domain.
Core DS Leadership: Oversee the transition of Data Science from product-specific silos into a centralized powerhouse that provides advanced analytics across the entire enmacc ecosystem.
Statistical Rigor: Maintain high standards for model validation, feature engineering, and experimental design.

2. Modern AI & LLM Adoption

Generative Strategy: Lead the adoption of LLMs and Generative AI. This includes building production-ready RAG (Retrieval-Augmented Generation) systems, agentic workflows, and NLP solutions for unstructured trading data (chats, news, contracts).
AI Productization: Move beyond "wrappers" to build deeply integrated AI features that solve complex domain problems, focusing on evaluation frameworks and cost-efficient scaling.
Rapid Prototyping: Foster a culture of fast experimentation with the latest AI research to keep enmacc at the cutting edge.
Strategic Leadership: Build and lead a unified Data & AI group, integrating existing specialists (Data Engineering, ML Engineering, and Data Science) into a high-velocity team.
AI & LLM Roadmap: Lead the development and deployment of LLM-powered features. This includes exploring RAG (Retrieval-Augmented Generation) for domain knowledge, automated trade summarization, and intelligent market assistants.
Product Innovation: Drive the ML roadmap for product development, identifying where predictive modeling and NLP can create a competitive advantage in energy and commodity markets.
Technical Excellence: Provide hands-on technical mentorship. You should be as comfortable discussing vector databases and prompt evaluation as you are with CI/CD for ML (MLOps).
Domain Integration: Partner with Product and Business leaders to translate complex trading requirements into technical AI solutions.

Your Team

You will consolidate a currently distributed team to foster architectural consistency and shared AI standards:

Data Engineering (from Platform) – Ensuring the data "plumbing" supports real-time AI.
ML Engineering (from Platform) – Managing the lifecycle of models from experiment to production.
Data Science (from Product) – Translating business problems into statistical and algorithmic solutions.

Your profile

AI & ML Expert: Proven experience in Machine Learning and, crucially, modern LLM development (e.g., working with OpenAI/Anthropic APIs, open-source models, vector stores, and agentic workflows).
Technical Foundation: You understand the full stack—from data warehousing to model monitoring. You can lead "the how" as well as "the what."
Trading Interest: You are genuinely interested in the trading domain. You see the potential for AI to navigate the complexities of energy markets and commodity flows.
Strategic Builder: You are excited to define the culture, tech stack, and workflows of a brand-new department from the ground up.

Don't match every single requirement? We still want to hear from you!

Our offer

Competitive compensation package, including 28 days of annual leave.
Entrepreneurial, impact-driven culture with flat hierarchies and high autonomy.
Hybrid & Workation flexibility that balances office connection with the freedom to work from home or abroad.
€2,000 annual L&D budget plus 5 dedicated "Level Up" days to fuel your growth (for all full-time employees).
Commute & Wellness support, including fully covered gym memberships and paid transportation for office days.
Inclusive, international team that celebrates diversity and offers language classes to help you settle in.
AI-first environment where you'll collaborate with a dedicated AI Philosophy and cross-functional expert groups.
Premium tech & workspaces, featuring top-tier Apple/Bose hardware in modern, dog-friendly offices.

About enmacc

enmacc is Europe's largest over-the-counter trading platform for energy and environmental commodities. We are digitizing the world's energy markets by replacing manual, outdated processes with speed, transparency, and liquidity.

Our platform empowers a massive network of over 2,400 active traders to manage risk and accelerate the global energy transition. By providing a secure and efficient trading environment for 650+ companies, we facilitate more than 14,000 monthly requests for quotes and 8,000 monthly trades. With a traded volume exceeding 60 TWh per month, enmacc enables energy suppliers, industrial companies, and trading houses to access the liquidity they need to thrive in a shifting market.

As an Equal Opportunity Employer, enmacc is a diverse environment where all backgrounds, identities, and cultures are welcomed and celebrated. If you're excited about this role, apply and help us shape the future of energy trading!

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development assistant Jobs in münchen, by

Head of Applied AI (m/f/d)

Applied AI Engineer

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