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AI/ML Engineer

INOPTRA DIGITAL
Bengaluru, Karnataka

Quick apply

Job details

Qualifications

TensorFlow
CI/CD
Azure
Kubernetes
Software deployment
PaaS
SQL
OS Kernels
Docker
Machine learning
Continuous integration
Deep learning
AI
Python

Full job description

We are seeking a skilled AI/ML Engineer to join our team and contribute to the design, development, and deployment of intelligent AI solutions, with a strong focus on conversational AI and Retrieval-Augmented Generation (RAG) architectures.

This role is ideal for an experienced engineer who has successfully delivered production-grade AI applications, particularly chatbots and knowledge-driven systems, while leveraging Microsoft Azure as the primary cloud platform.

Location: [Remote / Hybrid / Bengaluru / Specify as per company policy]Experience Level: Mid-Senior (8+ years total IT/engineering experience)

Key Responsibilities

Design, build, and deploy enterprise-grade chatbots and conversational AI applications using RAG architecture to enable accurate, context-aware, and hallucination-reduced responses

Develop end-to-end RAG pipelines including document ingestion, chunking, embedding generation, vector storage, hybrid/semantic retrieval, re-ranking, and generation augmentation

Integrate Large Language Models (LLMs) (via Azure OpenAI or other providers) with retrieval systems and implement advanced techniques such as query rewriting, contextual compression, and evaluation metrics

Architect and implement scalable AI/ML solutions on Microsoft Azure, leveraging services such as Azure OpenAI, Azure AI Search (for vector/hybrid search), Azure Machine Learning, Azure AI Services, Prompt Flow, and Azure Cosmos DB / Azure SQL

Build and maintain production MLOps pipelines using Azure DevOps, MLflow, or equivalent tools for model versioning, CI/CD, monitoring, and automated retraining

Collaborate with data engineers, product managers, and domain experts to translate business requirements into high-quality AI features

Optimize AI systems for performance, cost, latency, and reliability in cloud environments

Implement evaluation frameworks, A/B testing, and continuous improvement for conversational accuracy and user satisfaction

Ensure secure, compliant, and ethical AI implementations (guardrails, PII handling, content filtering)

Required Qualifications & Experience

8+ years of overall software engineering / development experience

4+ years of hands-on experience with Microsoft Azure cloud platform (Azure PaaS services preferred)

2+ years of dedicated AI/ML engineering experience, with proven delivery of production AI/ML solutions

Strong hands-on experience designing and implementing chatbots / conversational agents using RAG architecture

Practical expertise in building RAG systems, including:

Vector databases / vector search (Azure AI Search, FAISS, Pinecone, Weaviate, etc.)

Embedding models and semantic search techniques

Orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or Haystack

Proficiency in Python (production-grade coding)

Experience working with LLMs — prompt engineering, fine-tuning (nice to have), chaining, tool/function calling

Familiarity with Azure AI ecosystem: Azure OpenAI, Azure Machine Learning, Azure Cognitive Services / AI Search, Bot Framework (advantage)

Good understanding of MLOps practices and deployment patterns (Docker, Kubernetes, CI/CD)

Preferred / Nice-to-Have Skills

Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate)

Experience with agentic AI / multi-agent systems

Knowledge of classical ML + deep learning frameworks (PyTorch / TensorFlow)

Exposure to evaluation tools (RAGAS, DeepEval) and observability for GenAI applications

Previous work in enterprise environments (security, scalability, cost optimization)

What We Offer

Opportunity to work on cutting-edge Generative AI and RAG-powered solutions

Collaborative environment with focus on innovation and learning

Competitive compensation and benefits

Quick apply

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