Search Jobs
Search by job, company or skills
Search by job, company or skills
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:
Amazon Web Services, Apis, Microservices, MLops, Distributed Systems, Microsoft Azure, Kubernetes, LangChain, CrewAI, GenAI, RAG embeddings, LLMs, LLMOps, prompt engineering, AutoGen, agentic AI systems, evaluation frameworks, cloud AI platforms
Skills:
.NET, containerization , Java, Apigee, Python, LangChain, Big Query, vector search, Cloud Spanner, Cloud Functions, fine-tuning, data pipelines, GKE, model training, RAG patterns, multi-cloud environments, Istio, Pinecone, Pub Sub, FAISS, Weaviate, GCP services, Fire store
Skills:
model selection , Api Management, Microservices, Kubernetes, LangChain, embeddings, fine-tuning, Azure OpenAI, Semantic Kernel, prompt engineering, Caching, inference optimization, cloud-native architectures, Azure AI Search, semantic search, knowledge grounding, Microsoft Azure stack
Skills:
vectorization , Tensorflow, Gcp, Pytorch, MLops, Docker, Azure, Kubernetes, Python, AWS, Data lakes, Generative AI, Transfer Learning, LLMs, Azure OpenAI Service, Fine-Tuning, Embedding models, Google Vertex AI, RAG, Data pipelines, Amazon Bedrock, Transformer architectures
Skills:
snowflake , Java, Devops, Azure, Python, AWS, Generative AI, vector databases, RAG pipelines, prompt engineering
We don’t charge any money for job offers
