Posted:1 day ago| Platform: Naukri logo

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Skills Required

gen ai artificial intelligence aiml machine learning python

Work Mode

Hybrid

Job Type

Full Time

Job Description

  • AI/ML Development and Deployment:
    • Architect and implement scalable ML solutions using Azure ML Studio and Azure Machine Learning services
    • Fine-tune and deploy LLMs for enterprise-grade applications
    • Design and build RAG pipelines leveraging Azure services and vector databases
    • Develop and orchestrate multi-agent LLM systems for complex workflows
    • Ensure robust model deployment, monitoring, and performance optimization in production environments
  • Azure Platform Engineering:
    • Leverage Azure services such as Azure Data Lake, Azure Synapse, Azure Blob Storage, and Azure Cognitive Search for data ingestion and processing
    • Integrate AI models with Azure-based data pipelines and APIs
    • Use Azure DevOps for CI/CD of ML workflows and model versioning
    • Apply MLOps best practices for model governance, monitoring, and retraining
    • Ensure compliance with data governance, privacy, and security standards in cloud environments
  • Data Engineering and Processing:
    • Build and maintain ETL/ELT pipelines for structured and unstructured data using Databricks and Apache Spark
    • Prepare and transform structured and unstructured data using Python, PySpark, and SQL for training and inference
  • Collaboration and Innovation:
    • Collaborate with data scientists, product managers, and engineers to deliver AI-driven features
    • Stay current with advancements in generative AI, LLMs, and Azure AI services
    • Contribute to the continuous improvement of AI/ML pipelines and best practices

Required Qualifications:

  • Experience:
    • 5+ years of hands-on experience in AI/ML engineering with a focus on Azure
    • Proven experience in deploying ML models using Azure ML Studio and Azure Machine Learning
    • Experience working with LLMs, RAG systems, and AI agents

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