Lead Engineer - Data Scientist

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

We are seeking a highly skilled Senior AI/ML Developer to design and implement next-generation AI-powered knowledge management systems. The ideal candidate will have expertise in document understanding, LLMs, multimodal AI, and agentic AI systems.

You will lead the development of a co-pilot-style solution capable of ingesting, processing, and reasoning over large volumes of documents (PDFs, scanned images, engineering drawings, invoices, P&IDs, SOPs, etc.), and delivering accurate, context-aware answers to user queries.

This role requires deep expertise in both cloud-native (Azure) and open-source AI ecosystems, with the ability to design autonomous, agent-driven workflows that integrate multiple tools, APIs, and data sources.

Key Responsibilities

AI/ML Solution Design & Development

• Architect and implement document understanding pipelines (structured + unstructured data).
• Build retrieval-augmented generation (RAG) systems and LLM-based copilots for enterprise knowledge management.
• Develop agentic AI workflows (using LangChain Agents, Semantic Kernel, AutoGen, etc.) for multi-step reasoning and automation.
• Integrate OCR, computer vision, and NLP models to process scanned PDFs, engineering drawings, invoices, and P&ID diagrams.
• Fine-tune and optimize LLMs and VLLMS (OpenAI, Azure OpenAI, Hugging Face, LLaMA, Yolo etc.) for enterprise use.

Cloud & Data Engineering

• Build scalable AI solutions on Azure tech stack (Azure AI Search, Cognitive Services, Azure OpenAI, Azure Functions, Blob Storage, AKS).
• Implement vector databases (e.g., Pinecone, Weaviate, Azure AI Search, FAISS) for semantic and multimodal search.
• Design and manage efficient data pipelines using Python, SQL, and distributed processing frameworks.

Full-Stack Collaboration

• Work with front-end developers (React) to integrate AI services into user-friendly applications.
• Ensure smooth API design and deployment of AI services.

Performance & Governance

• Ensure system scalability, low latency, and cost efficiency.
• Apply best practices for responsible AI (bias mitigation, data security, compliance).

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

Core AI/ML Expertise

• Strong hands on experience in Python and R Languages
• Strong hands-on experience in NLP, LLMs, RAG, and multimodal AI.
• Proven experience building agentic AI workflows (LangChain Agents, Microsoft Semantic Kernel, AutoGen, CrewAI, Haystack agents).
• Proficiency with document AI, OCR, computer vision, and structured document parsing.
• Expertise in transformer-based models (BERT, GPT, LLaMA, etc.), fine-tuning, and prompt engineering.
• Knowledge of knowledge graphs, embeddings, and semantic search.
• Programming & Tools
• Strong skills in Python (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, OpenAI SDKs).
• Experience with data processing & ETL pipelines (Pandas, Spark, Dask).
• Familiarity with React, REST APIs, FastAPI/Flask/Django for service integration.
• Strong in SQL (MS SQL), data modeling, and optimization.

Cloud & Infrastructure

• Experience with Azure AI stack: Azure Cognitive Services, Azure OpenAI, Azure AI Search, Blob Storage, Azure Functions, AKS.
• Hands-on with MLOps pipelines (Azure ML, MLflow, CI/CD, Kubeflow).
• Knowledge of containerization & orchestration (Docker, Kubernetes).

Other Preferred Skills

• Experience with vector databases (Pinecone, Weaviate, Milvus, FAISS, Azure AI Search).
• Exposure to scanned document/image processing (Azure Form Recognizer, LayoutLM, Detectron, Tesseract OCR).
• Familiarity with engineering/industrial documents (P&ID, CAD drawings, invoices).

Understanding of data privacy, security, and compliance in enterprise AI.

Education & Experience

• Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field.
• 6+ years of overall development experience, with at least 4+ years in AI/ML-focused projects.
• Proven track record of delivering enterprise-grade AI/ML and agentic systems.
• Experience in mentoring junior developers and working in agile product teams.