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
Experie

📌 Ai Ml Engineer Mumbai (India)
🏢 Everforth Quinnox
📍 India