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AI/ML Engineer
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- Posted 16 hours ago
- Be among the first 10 applicants
Job Description
Role Name- AI/ML Engineer
Technical Skill Set Required - AI / ML Python, SQL, Azure ML framework,LangChain, Azure Document Intelligence ,Overall Professional experience: 610+ years preferred
Desired Competencies (Technical/Behavioral Competency)
- Overall Professional experience: 610+ years preferred
- Python: 3+ years of hands-on experience writing production-quality Python for integrations with AI.
- LLM & model integration: Experience integrating LLMs (OpenAI or similar) into applications, including using embeddings and vector similarity search. Azure AI services: Experience with Azure Document Intelligence (Form Recognizer) or experience integrating Azure OpenAI and Cognitive Services into solutions.
- Azure AI services: Experience with Azure Document Intelligence (Form Recognizer) or experience integrating Azure OpenAI and Cognitive Services into solutions.
- API integration & orchestration: Experience consuming REST APIs, event-driven or workflow orchestration, and connecting to enterprise systems. Cloud deployment: Experience deploying Python services on Azure and familiarity with CI/CD practices.
- Experience with authentication and enterprise security patterns on Azure (Managed Identity, Key Vault).
- Agent Frameworks: Familiarity with agent frameworks like LangChain, LangGraph, or equivalent agent orchestration tools
Role descriptions / Expectations from the Role
- This role will require 80% Technical hands-on Work and 20% Non-technical Work (people and program)
KEYS: AI / ML Python, SQL, Azure ML framework, LangChain, Azure Document Intelligence
More Info
Key Skills
Azure ML framework
LangChain
Azure Document Intelligence
Agent Frameworks
Authentication and enterprise security patterns on Azure
LLM model integration
API integration orchestration
About Company
Skills:
Machine Learning (ML), FastAPI, Python, Uvicorn, Distributed high throughput and low latency architecture
Skills:
Fine-tuning and retrieval-augmented generation (RAG) workflows, Python, Security compliance and ethical use of LLMs, LLM pipelines, CI/CD pipelines, Machine learning frameworks, Model validation testing, Machine Learning Operations, Prompt management and versioning systems, Observability tools for LLM applications, Multi Cloud skills
Skills:
graph databases , C#, Machine Learning, Neo4j, Python, Java, GenAI, Hugging Face, GLM, ASTs, Arango DB, LangGraph, Qwen, Agentic frameworks, RAG architectures, LangChain, LLMs, Ai, LSP, vLLM, AutoGen, Ollama, DeepSeek, Llama, Tree-sitter, OpenAI
Skills:
Tensorflow, Numpy, Git, Pandas, Pytorch, Gcp, Docker, FastAPI, Azure, Python, AWS, LangChain, scikit-learn, Qdrant, vector databases, Pinecone, async, LangGraph, Chroma, FAISS, RAG, Milvus, Weaviate
Skills:
Machine Learning Algorithms, Python Programming, Prompt engineering, Data pipelines, Feature engineering