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AI Engineer

$45 - $50 per hour

Cynet Systems

Job Overview:


Pay Range: $45.00hr - $50.00hr


Requirement/Must Have:

  • Strong exposure to Microsoft Azure stack including Synapse, Fabric, Foundry, Copilot Studio, Databricks, and Power BI.
  • Hands-on experience with ML projects including supervised/unsupervised learning, forecasting, NLP, and deep learning.
  • Proficiency with ML modeling tools such as Python, PySpark, Azure ML, Databricks, and Scikit-learn.
  • Experience with Microsoft Foundry and Microsoft Agentic Framework.
  • Expertise in LLMs, embeddings, vector databases, and RAG/GraphRAG.
  • Knowledge of CI/CD, MLOps/LLMOps, and SDLC.
  • Experience with L2/L3 Support for Immuta, Collibra, and AWS.
Responsibilities:
  • Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph, and multi-agent frameworks.
  • Utilize the Microsoft Agentic Framework (MAF) for solution development.
  • Build RAG pipelines, vector DB integrations, and autonomous workflow orchestration.
  • Design and lead ML project lifecycles including data preparation, modeling, training, evaluation, deployment, and MLOps.
  • Govern full SDLC for Data, ML, and GenAI platforms.
  • Drive RFP/RFI solutioning, technical proposals, estimations, and workshops.
  • Ensure strong security, compliance, and governance including GDPR, CCPA, and PII.
  • Produce robust architecture blueprints, ML design documents, and runbooks.
  • Engage with IT and business leaders to understand pain points, priorities, success measures, and risks.
  • Design secure, scalable data and AI solutions to deliver measurable business value.
  • Lead architecture design sessions and develop data/AI and analytics roadmaps to drive PoCs and MVPs.
  • Accelerate adoption and ensure long-term technical viability.
Skills:
  • Microsoft Foundry.
  • Azure OpenAI.
  • LangChain.
  • LangGraph.
  • Microsoft Agentic Framework.
  • RAG.
  • Vector Databases.
  • MLOps.
  • Python.
  • PySpark.
  • Azure ML.
  • Databricks.
  • Scikit-learn.
  • LLM.
  • Immuta.
  • Collibra.
  • AWS.
Qualification And Education:
  • 15+ years in Data/AI/ML Engineering.
Vacancy posted 5 days ago
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