Machine Learning Engineer – LLM, GenAI

🔥 2 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Datakrew

WebsiteLinkedInAll Job Openings

11 - 50 employees

🚗 Transport

🤖 Artificial Intelligence

⚡ Energy

Transport • Artificial Intelligence • Energy

Datakrew is a company that empowers electric vehicle (EV) fleets and original equipment manufacturers (OEMs) with advanced battery intelligence solutions. Their state-of-the-art platforms, such as OXRED and ITUS EV Scanner, provide real-time insights into battery health and charge status, going beyond traditional battery management systems and telematics solutions. Datakrew's solutions are designed to extend the lifespan, improve the safety, and increase the resale value of electric vehicles. They integrate AI and machine learning to give predictive insights that minimize range anxiety and downtime. Trusted worldwide by industry leaders, Datakrew contributes to building a connected EV ecosystem, enhancing operational efficiency and reducing maintenance costs for their customers.

📋 Description

• Design, develop, and maintain the LLM-powered backend services using Python and FastAPI. • Implement retrieval-augmented generation (RAG) to fetch structured and unstructured data from OXRED. • Use frameworks like LangChain, LlamaIndex, or Haystack to manage context retrieval, query routing, and summarization. • Integrate the chatbot logic with the existing OXRED AskOX frontend. • Design, implement, and validate support for diverse fleet analytics use cases including fleet summaries, vehicle diagnostics, predictive insights, and performance metrics. • Ensure secure and efficient data flow between OXRED APIs and the AskOX backend. • Evaluate and improve retrieval accuracy, latency, and hallucination rates. • Maintain technical documentation and API specifications.

🎯 Requirements

• 4–6 years of hands-on experience in Machine Learning. • Demonstrated experience building LLM or Generative AI applications using LangChain, LlamaIndex, or similar frameworks. • Proficiency in Python and FastAPI. • Experience with retrieval pipelines, SQL, or CrateDB/PostgreSQL. • Understanding of vector databases (e.g., FAISS, Chroma, Pinecone). • Ability to design efficient prompting strategies and retrieval pipelines for structured and unstructured data. • Knowledge in the EV Domain (brownie points).

🏖️ Benefits

• Work on an ecosystem of cutting-edge products combining web tech, automation, and AI. • Directly influence product architecture and team growth. • Engage with leading automotive and AI-driven innovation challenges. • Remote working.