Ai Ml Engineer

Job Requirements

Position:

Experience:

Lead

co-pilot-style solution

cloud-native (Azure)

Work Experience

Key Responsibilities

AI/ML

• 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 (OpenAI, Azure OpenAI, Hugging Face, LLaMA, etc.) for enterprise use.

Cloud &

• 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).

Required Skills & Qualifications

Core

• 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

• Bachelors or Master’s in

  Computer Science,

  Data Science,

  AI/ML, or related field

  .
• 6+ years of overall development experience, with at least 3+ 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.