AI Ml Engineer

IMMEDIATE JOINERS

Role : AI/ML Engineer

Experience : 4 to 6 yrs

Location : Bangalore & Mumbai

Shift : General

Work Mode : Hybrid

Job Description : AI Engineer

Technology Stack: Azure, Databricks, Generative AI, Python, ML/AI

Role Summary:

We are seeking a highly skilled AI Engineer with 56 years of experience in designing, developing, and deploying AI/ML solutions on Azure and Databricks platforms. The ideal candidate should have hands-on experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MLOps, and cloud-native AI architectures.

Key Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions using Azure AI Services and Databricks.
• Build and optimize RAG-based applications using vector databases and embeddings.
• Fine-tune, evaluate, and deploy LLMs for enterprise use cases.
• Develop scalable data pipelines using Azure Data Factory, Databricks, and Spark.
• Integrate GenAI solutions with enterprise systems through APIs and microservices.
• Implement MLOps practices including model versioning, monitoring, CI/CD, and governance.
• Work closely with Product Owners, Data Scientists, and Business Teams to translate requirements into AI solutions.
• Ensure AI solutions meet security, privacy, and compliance standards.
• Monitor model performance and continuously improve solution effectiveness.

Required Skills

Core AI/ML

• Machine Learning, Deep Learning, NLP
• Generative AI and LLMs (OpenAI, Azure OpenAI, Llama, Mistral, etc.)
• Prompt Engineering and AI Agent frameworks
• RAG Architecture and Vector Databases (FAISS, Pinecone, Azure AI Search)

Azure

• Azure OpenAI Service
• Azure AI Foundry / Azure AI Studio
• Azure Data Factory
• Azure Functions
• Azure Kubernetes Service (AKS)
• Azure Storage and Key Vault

Databricks

• Databricks Lakehouse Platform
• Apache Spark & PySpark
• Delta Lake
• Databricks Model Serving

Programming

• Python
• SQL
• REST APIs

Preferred Qualifications

• Experience with GENAI, LLM, LangChain, LangGraph, Semantic Kernel
• Knowledge of Agentic AI architectures.
• Azure AI Engineer Associate, Azure Data Engineer, or Databricks certifications.
• Experience in enterprise-scale AI implementations.

Educational Qualification

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.

Thank you

Aswini V V

HR - Senior Associate

Mail.id - Aswiniv@quinnox.com