Data Scientist (LLM Specialist)

Who We Are

We’re on a mission to electrify the future—literally. Our platform is powering the transition to electric vehicles (EVs) by making financing, fleet optimization, and data-driven insights smarter than ever. And guess what’s at the core of that mission? Data. Lots of it. From EV battery telemetry to loan repayment timelines, we’re swimming in information—and we need an LLM-savvy Data Scientist to help us turn it into intelligence.

This isn’t your average chatbot-in-a-box role. We’re talking retrieval-augmented generation, domain-specific embeddings, model fine-tuning, and serious prompt engineering. You’ll help us build smart language interfaces over EV data that talk, think, and act like a pro.

What You’ll Do

• Build production-ready LLM wrappers (OpenAI, Claude, Mistral, LLaMA—you name it).
• Fine-tune and optimize in-house models using structured and unstructured EV data (telematics, bank statements, financials, maintenance logs).
• Develop smart agents and copilots that help humans make decisions across the EV lifecycle—from vehicle scoring to loan eligibility to fleet ops.
• Work with embeddings, vector search (Pinecone, FAISS), and retrieval pipelines to enable context-aware generation.
• Analyze large-scale EV datasets for model grounding, performance tuning, and hallucination prevention.
• Collaborate with ML engineers, product managers, and EV domain experts to ship fast, iterate faster, and always stay close to the user.

What You Bring

• Core data science skills: Statistics, NLP, ML, and experimental rigor.
• Code-first mindset: Strong Python skills (bonus: LangChain, PyTorch, Hugging Face, FastAPI).
• LLM native: You know the ins and outs of transformers, token limits, and model behavior.
• Domain-flexible: Ideally, you’ve worked with financial data, IoT signals, or anything messy and real-world.
• Infra awareness: Docker, cloud GPUs (AWS/GCP), vector DBs, model versioning—you get it.
• Deployment muscle: You think about latency, prompt structure, caching, observability, and scale.

Bonus Points If You’ve

• Worked on EV data platforms or mobility analytics.
• Built retrieval-augmented generation (RAG) systems with proprietary data.
• Played with LoRA, quantization, or multi-modal LLMs.
• Built internal copilots for ops, sales, or support teams.
• Contributed to open-source LLM tooling.

Why This Role Rocks

• EV industry impact: Shape the future of green mobility with intelligence at the center.
• AI innovation: Work on cutting-edge LLM use cases, not boring dashboards.
• Autonomy: We’ll trust you to drive initiatives from day one.
• Speed + Scale: Start fast, go deep, and solve real customer pain points.

Apply Now if…

• You’re a data scientist with a builder’s brain and an LLM soul.
• You thrive on messy data, complex systems, and making machines sound like they know what they’re talking about.
• And if you get excited about powering the EV revolution? Even better.