Agentic AI Consultant
Listed on 2026-06-14
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Azure, Cloud Engineer - Software
TECHNICAL
SKILLS:
minimum 3-4 yrs of working experience mandatory
Azure AI Services
:
Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks
Python Programmin
g:
Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (Lang Chain, Llama Index, Semantic Kernel, Lang Graph, FastAPI
LLM & Generative AI:
Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniqu
es.
ML Libraries & Framewo
rks:
Advanced proficiency in ML libraries such as PyTorch, Tensor Flow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NL
TK).Vector Databa
ses:
Experience with vector databases including FAISS, Azure AI Search, Chroma
DB, and Pinec
one.
Dev Ops/MLOps:
Hands‑on experience with Dev Ops/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insi
ghts.
Cloud Security & Integr
ation:
Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration pat
terns.
AI Ethics & Gove
rnance:
Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI s
ystems.
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