Senior Staff AI Engineer (Knowledge Graph)
Generative AI Solutions:
• Build AI-powered applications, AI agents, and Copilot experiences using Large Language Models (LLMs) and modern AI technologies.
• Design and optimize LLM-based solutions, including prompt engineering, tool/function calling, Retrieval-Augmented Generation (RAG), GraphRAG, and agentic workflows.
• Design, develop, and integrate knowledge graph and graph database solutions (e.g., Neo4j, Cosmos DB) to model complex business relationships, enhance contextual understanding, and improve AI reasoning capabilities.
• Evaluate, fine-tune, and improve AI systems through structured testing, quality measurement, safety guardrails, and hallucination reduction techniques.
Machine Learning Models:
• Design and implementation of machine learning models in different domains (e.g. SCM, Manufacturing, Product Management and Corporate Functions) following the CRISP- DM process.
• Train, fine-tune, and optimize deep learning models for various applications.
• Work with large-scale datasets to preprocess, clean, and transform data for model training.
Data Pipelines & ML Model Deployment:
• Design and build robust data pipelines for AI applications.
• Collaborate with data engineers to optimize data infrastructure and storage for efficient ML processing.
• Deploy and monitor models in production environments.
Communication & Collaboration:
• Storytelling of results to business stakeholder.
• Collaborate with business stakeholders, architects, data engineers, and software developers to transform business challenges into scalable AI solutions.
Stay updated:
• Stay updated with the latest trends and advancements in data science and AI.