Lead Engineer - Data Scientist

Job Requirements

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.

Senior AI/ML Developer

co-pilot-style solution

cloud-native (Azure)

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.

Work Experience

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)

  .

data privacy, security, and compliance

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.