AIML Engineer

Hiring: AI/ML Engineer (CADRE_AI)

We are looking for an experienced AI/ML Engineer to architect and deploy enterprise-grade solutions. This role is focused on high-scale AI development within the Azure ecosystem.

Role Overview

• Experience: 610 Years
• Locations: Hyderabad / Chennai / Bangalore / Pune
• Note:( For Hyderabad location: Candidates needs to come for Face-to-face interview)
• Client: Wipro
• Focus: Azure AI/ML, LLMs, RAG, and MLOps

Primary Responsibilities

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.

Azure Platform Engineering:

• Leverage Azure Data Lake, Synapse, Blob Storage, and Cognitive Search for data ingestion.
• 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.

Data Engineering and Processing:

• Build and maintain ETL/ELT pipelines using Databricks and Apache Spark .
• Prepare and transform structured/unstructured data using Python, PySpark, and SQL .

Collaboration and Innovation:

• Collaborate with data scientists and product managers to deliver AI-driven features.
• Stay current with advancements in Generative AI, LLMs, and Azure AI services .

Required Qualifications

Experience:

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

Technical Skills:

• Expertise in Databricks, Apache Spark, and Azure Data services .
• Familiarity with MCP, Langchain , vector databases, and embedding models.
• Knowledge of Azure DevOps and CI/CD for ML workflows.
• Proficiency in Python, SQL, LLMs, and PySpark .

Soft Skills:

• Solid analytical and problem-solving skills.
• Effective communication and collaboration with cross-functional teams.
• Ability to translate business requirements into technical solutions.