Jobid=76db66fac353 (0.0746)
*About the Role*
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Growatt is building an *AI-powered after-sales support system* to automate customer support queries with full traceability and confidence-gated responses. We are looking for an *Intelligent Data Analysis Engineer* who combines *energy-sector domain knowledge* with *AI-augmented data engineering* skills to design, build, and optimize the data and ML pipelines that power this system. You will work across a microservice architecture spanning document ingestion, semantic search, knowledge graph extraction, and LLM-based answer generation.
*Key Responsibilities*
* *Data Pipeline Development* — Build and maintain Python-based ingestion pipelines that process technical manuals, troubleshooting guides, and product documentation into searchable knowledge stores
* *Embedding & Retrieval Optimization* — Develop and tune the embedding service and retrieval gateway using vector search and BM25 fusion to maximize recall and precision for solar inverter support queries
* *Knowledge Graph Construction* — Design extraction schemas to build a product knowledge graph capturing device relationships, fault patterns, and resolution procedures with full provenance tracking
* *Quality & Observability* — Define evaluation metrics, build feedback loops, and curate test datasets, monitor confidence-gate thresholds (Answer/Ask/Decline/Handoff) and continuously improve automation rates
* *AI-Assisted Rapid Prototyping* — Use LLM-assisted coding workflows (Claude) to rapidly prototype data processing scripts, analysis tools, and service components, accelerating development cycles across the platform
* *Domain-Informed Feature Engineering* — Leverage solar energy and power electronics domain expertise to design features, taxonomies, and retrieval strategies that improve the system’s ability to resolve technical support queries accurately
* *Cross-Service Integration* — Collaborate with the AI and OSS teams to ensure retrieved evidence meets citation and confidence requirements
*Required Qualifications*
* *MSc or PhD* in Materials Science, Physics, Electrical Engineering, Data Science, or a related STEM field
* *Strong Python skills* (Pandas, NumPy, Scikit-learn) with experience building data processing and analysis pipelines
* *Experience with AI/ML workflows* — embeddings, vector similarity search, or information retrieval systems
* *Domain knowledge in renewable energy*, solar PV systems, battery technology, or power electronics
* *Proven AI-assisted development* — productive use of LLM coding assistants (Claude, ChatGPT, Copilot) for rapid prototyping and data analysis
* *Data visualization proficiency* (Matplotlib, Plotly, or Grafana dashboards) for communicating insights to technical and non-technical stakeholders
* *Scientific rigor* — experience with statistical analysis, and evidence-based decision making
*Nice to Have*
* Experience with *Elasticsearch*, *Neo4j*, or xbpjoel graph-based knowledge systems
* Familiarity with *FastAPI*, *Docker*, and microservice architectures
* Experience with *LangChain/LangGraph* or LLM orchestration frameworks
* Background in *NLP*, document processing, or semantic search
* Proficiency in *Chinese* (Mandarin) for collaboration with Growatt’s global R&D teams
*What We Offer*
* A key role in building Growatt’s next-generation AI support platform from the ground up
* Collaborative, international team bridging AI engineering and energy-sector expertise
* Access to cutting-edge AI tools and modern infrastructure
* Competitive salary and benefits, with opportunities for professional growth
Job Type: Full-time
Ability to commute/relocate:
* 2908 Schollevaar-Noord: Reliably commute or planning to relocate before starting work (Preferred)
Education:
* Master's (Preferred)
Work authorization:
* Netherlands (Preferred)
Work Location: In person
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