Job
- Level
- Lead
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will lead the development of AI-driven trading solutions by unifying data scientists into a high-performing team and developing predictive models, algorithms, and LLM features.
Job Technologies
Your role in the team
- As the Head of Data & 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.
- Drive the development of predictive models, anomaly detection, and optimization algorithms tailored to the energy trading domain.
- Oversee the transition of Data Science from product-specific silos into a centralized powerhouse that provides advanced analytics across the entire enmacc ecosystem.
- Maintain high standards for model validation, feature engineering, and experimental design.
- 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).
- Move beyond 'wrappers' to build deeply integrated AI features that solve complex domain problems, focusing on evaluation frameworks and cost-efficient scaling.
- Foster a culture of fast experimentation with the latest AI research to keep enmacc at the cutting edge.
- Build and lead a unified Data & AI group, integrating existing specialists (Data Engineering, ML Engineering, and Data Science) into a high-velocity team.
- 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.
- Führen Sie die ML-Roadmap für die Produktentwicklung an, indem Sie identifizieren, wo prädiktives Modellieren und NLP einen Wettbewerbsvorteil in Energie- und Rohstoffmärkten schaffen können.
- 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).
- Partner with Product and Business leaders to translate complex trading requirements into technical AI solutions.
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Our expectations of you
Qualifications
- You understand the full stack—from data warehousing to model monitoring. You can lead 'the how' as well as 'the what.'
- You are genuinely interested in the trading domain. You see the potential for AI to navigate the complexities of energy markets and commodity flows.
- You are excited to define the culture, tech stack, and workflows of a brand-new department from the ground up.
Experience
- 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).
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What we 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.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
Enmacc GmbH
enmacc makes the energy procurement process faster, more efficient and more secure. With a constantly growing network of energy suppliers, distributors, industrial companies and utilities, enmacc offers attractive, competitive prices.
Description
- Founding year
- 2016
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Head of Applied AI/Data
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
