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Experience : 10+ Years
Work location: Bangalore, Chennai, Hyderabad, Pune – Remote
Designation: AI Solution Designer and Implementor
Shift Time:- 2 to 11 PM IST
Budget: 38-40 LPA
Role Overview
We are seeking a highly skilled and visionary AI Solution Designer and Implementor to lead the design, development, and deployment of advanced AI/ML solutions across Retail Analytics Engineering Platforms. This role demands deep expertise in Generative AI, LLMs, Agentic AI, and MLOps practices, with a strong focus on delivering scalable, production-ready systems.
Key Responsibilities
Architect and implement enterprise-scale AI/ML solutions including Generative AI, Agentic systems, and LLM applications ( including fine-tuning)
Design and deploy intelligent AI agents using frameworks like LangChain & LangGraph to enhance user experience and operational efficiency
Build and optimize NLP/document processing pipelines using GCP/Azure tech stack
Lead the development of Retrieval-Augmented Generation (RAG) systems and multi-agent architectures.
Establish and maintain robust LLMOps/MLOps practices for model lifecycle management.
Develop and deploy models using PyTorch, MLFlow, and FastAPI.
Ability to Implement scalable ML infrastructure, Kubernetes, and CI/CD automation (GitHub Actions)
Collaborate with cross-functional teams to drive cloud adoption and IT infrastructure modernization.
Required Skills & Technologies
AI/ML Tools: LangChain, LangGraph, PyTorch, MLFlow,
Cloud Platforms: GCP Vertex AI, Kubernetes
DevOps & Automation: GitHub Actions
Qualifications
Bachelor's degree in Computer Science, Engineering, or related field.
10+ years of experience in IT systems and AI/ML solution delivery.
Proven track record in designing and deploying enterprise AI solutions.
Strong understanding of cloud-native architectures and scalable AI infrastructure.
Certifications (Preferred)
GCP and/or Azure
Job ID: 129586157
Skills:
Tensorflow, Pytorch, Docker, Oracle, Python, AWS, Sql, Cuda, Git, Gcp, Neo4j, Keras, Azure, AWS Bedrock, NVIDIA, Google Gemini, Transformer architecture, Mistral, Vertex AI, Diffusion models, Agentic workflows, Graph DBs, GANs, LLaMA 3.0, Copilot, OpenAI GPT-3.5
Skills:
Machine Learning, Python, Generative AI, AWS Bedrock, Agentic AI, Vertex AI, Azure OpenAI
Skills:
Machine Learning, Phoenix, Tensorflow, Pytorch, Gcp, Docker, Azure, Kubernetes, Python, AWS, Langchain, LLM-as-a-Judge, Hugging Face, RAGAs, Gen AI Development, Arize, Vector Databases, Langgraph, MCP
Skills:
S3, RDS, Dynamodb, React, Lambda, CloudFront, Docker, ECS, FastAPI, Python, Api Gateway, AWS, LangChain, LLMs, monitoring frameworks, DevOps practices, Vector Databases, Embeddings, CI CD pipelines, GenAI integrations, RAG, Prompt Engineering, LlamaIndex
Skills:
react.js , Prometheus, Node.js, Grafana, Npm, Datadog, Sql, Nosql, Git, Typescript, Gcp, Cloudwatch, Javascript, Docker, Rest Apis, Azure, Kubernetes, Python, Etl, AWS