Azure AI Engineer

0 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Summary:

We are seeking a highly skilled and motivated Data Scientist to join our Data & AI team. The candidate should have strong expertise in data analytics, machine learning, and Gen AI, with hands-on experience building and operationalizing ETL pipelines, LLM-based applications, and agentic AI workflows.


Key Responsibilities

1. Data Engineering & ETL Development:


  • Design, build, and maintain end-to-end ETL pipelines for data ingestion, transformation, and storage using tools like Azure Data Factory, Databricks, PySpark, and SQL.
  • Work with structured and unstructured data from diverse sources including APIs, data lakes, and streaming platforms (e.g., Kafka, Event Hubs).


2. AI, LLM, and Machine Learning Development:


  • Design and implement machine learning models for classification, regression, clustering, NLP, and recommendation systems using Python, scikit-learn, TensorFlow, or PyTorch.
  • Build agentic AI workflows using frameworks such as LangChain, Autogen etc to orchestrate autonomous reasoning, decision-making, and task automation.
  • Integrate retrieval-augmented generation (RAG) pipelines using vector databases like FAISS, Pinecone, or Azure Cognitive Search for knowledge-grounded AI systems.
  • Utilize Azure AI Services, including Azure OpenAI, Cognitive Services, and Azure Machine Learning, to build and deploy LLM-powered solutions.


3. Azure Cloud Platform Experience:

  • Strong hands-on experience with the Microsoft Azure ecosystem, Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure OpenAI Service, Azure Cognitive Services, Azure Blob Storage, Azure Key Vault etc.


4. Client & Stakeholder Collaboration:


  • Partner with business and technical stakeholders to gather requirements, define KPIs, and develop data-driven solutions aligned with client goals.
  • Present findings, visualizations, and model outputs clearly to both technical and non-technical audiences.
  • Support solution design discussions for data and AI-driven projects.


Note: Candidates with Azure certifications will be given preference

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