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 - [email protected]

📌 AI Ml Engineer (Maharashtra)
🏢 Everforth Quinnox
📍 Maharashtra