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nlp data engineering machine learning data science mlops๐ Description
- Lead enmacc's AI-first trading platform.
- Unify distributed data talent into a high-performance subdepartment.
- Drive dual-track strategy: Classical Data Science and Modern LLM Development.
- Bridge energy market data to intelligent features for trading.
- Consolidate a distributed team to shared AI standards.
- Mentor Data Eng, ML Eng, and Data Science teams.
๐ฏ Requirements
- Proven ML/LLM development experience (OpenAI/Anthropic APIs, vector stores).
- Full-stack data tech: warehousing to model monitoring; lead 'how' and 'what'.
- Genuine interest in energy/commodity trading.
- Strategic builder: define culture, tech stack, and workflows for a new dept.
- Translate trading requirements into AI solutions with product/business.
- Mentor teams; comfortable with vector databases and MLOps.
๐ Benefits
- Competitive package with 28 vacation days.
- Entrepreneurial culture with flat hierarchy and autonomy.
- Hybrid work and workation flexibility.
- โฌ2k annual L&D budget; 5 Level Up days.
- Wellness support: gym memberships and transit for office days.
- Inclusive, international team; language classes.
- AI-first environment with cross-functional groups.
- Premium tech spaces; Apple/Bose gear; dog-friendly offices.
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