AI ML Architect in Mumbai, India

• Full-time

... Claude model selection strategy (Opus, Sonnet, Haiku) for different agentic task profiles. Proficiency in prompt engineering: system prompts, few-shot examples, chain-of-thought, XML-structured outputs, and agent personas. Familiarity with Claude Code plugin architecture, skill creation, and agentic workflow orchestration. ...

... OpenSearch, Pinecone- Data Processing: Glue, EMR- Deployment: ECS, EKS- Observability: Define enterprise AI reference architecture and roadmap.- Mentor engineers and ML teams on best practices for agentic AI design.- Lead build vs buy decisions for AI platforms and tools.- Establish AI cost governance and FinOps framework.- Drive ...

... stakeholders, product teams, and engineering squads to translate complex business requirements into robust technical solutions that enable advanced analytics, AI/ML, and data-driven decision-making across insurance focused business domains. Key Responsibilities: Lead the end-to-end architecture and solution design for enterprise ...

... Responsibilities :- Architect and develop scalable AI/ML solutions.- Build production-grade Generative AI and LLM-powered applications.- Design and optimize RAG pipelines, AI Agents, and multi-agent workflows.- Lead ML pipeline deployment, monitoring, and optimization.- Develop FastAPI-based AI services.- Implement semantic search using ...

... for enterprise use cases such as summarization, content generation, semantic search, and conversational AI. Implement RAG pipelines using frameworks like LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, Weaviate). Architect scalable AI systems on cloud platforms (AWS Sagemaker, GCP Vertex AI, or Azure Machine ...

... post-mortems for data issues Act as the technical authority on internal data contracts and API schemas in cross-functional discussions with backend, product, and AI/ML teams 5+ years of experience in data engineering, with a proven track record delivering production-grade pipelines, data models, and storage architectures - ...

... Responsibilities : - Lead end-to-end design and delivery of production-grade AI/ML solutions including RAG pipelines, LLM-based applications, and extraction systems.- Architect and develop robust, scalable AI/ML services in Python with focus on reliability and production-grade performance.- Develop and optimize AI-driven extraction ...

... Responsibilities : - Lead end-to-end design and delivery of production-grade AI/ML solutions including RAG pipelines, LLM-based applications, and extraction systems.- Architect and develop robust, scalable AI/ML services in Python with focus on reliability and production-grade performance.- Develop and optimize AI-driven extraction ...

• Hybrid

... Develop end-to-end training and fine-tuning of Large Language Models (LLMs), including both open-source (e.g., Qwen, LLaMA, Mistral) and closed-source (e.g., OpenAI, Gemini, Anthropic) ecosystems.- Deep knowledge and extensive experience with Machine/Deep Learning frameworks including transformer architectures, state space ...

• Hybrid

40k

... software engineering, AI, or data platforms (8+ years in AI/ML, 2 - 4 years in GenAI/LLM systems).- Proven track record designing and deploying production-grade AI/ML systems at scale.- Hands-on ownership of GenAI / LLM-based systems in production https://jobeax.com/link/RJlrlMwwlgVOmeQM Technical Expertise :- RAG architectures ...

... consumption layers.- Define reference architectures using Azure Data Lake, Azure Synapse Analytics, Microsoft Fabric, Azure Databricks, and Azure SQL/Cosmos DB.- Architect AI/ML and Generative AI solutions using Azure Machine Learning, Azure AI Foundry, Azure OpenAI Service, and Cognitive Services.- Design data governance, security, ...

... Observability: CloudWatch, OpenTelemetryLeadership & Strategic Responsibilities :- Define enterprise AI reference architecture and roadmap.- Mentor engineers and ML teams on best practices for agentic AI design.- Lead build vs buy decisions for AI platforms and tools.- Establish AI cost governance and FinOps framework.- Drive ...

Role Overview : Join a high-impact team building scalable AI systems that power conversational interfaces, speech recognition, and large-scale data transformation https://jobeax.com/link/Hn2b60846aifVrwk You'll Do : - Architect and operate end-to-end AI systems for conversational interfaces and speech recognition.- Drive ...

• Hybrid

... LlamaIndex, CrewAI, AutoGen.- Vector Databases : 1. Experience with vector similarity search, metadata filtering, and optimization in databases such as Azure AI Search, PGVector, Pinecone, Qdrant, or Milvus.- MLOps & Platform : 1. MLflow (for model versioning, lineage, and tracking), Docker, Kubernetes.2. Experience with ...

... including MLOps/LLMOps practices Must-Have Skills - 16–18 years in Infrastructure/Cloud engineering or architecture, with the last 5–6 years focused on applied AI/ML/LLM work - Strong hands-on coding ability — Python (must), API integration, SDK usage (OpenAI/Anthropic/LangChain/LlamaIndex) - Solid understanding of LLM fundamentals: ...

... A/B testing, and optimize for accuracy, latency, and cost. Stay updated with the latest advancements in GenAI, LLMs, and Azure AI ecosystem. Ensure responsible AI practices, including fairness, transparency, and data privacy. Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. - 3+ ...

• Hybrid
• Full-time

... years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation. - 2+ years of hands‑on experience in Generative AI (LLMs, embeddings, RAG, LLM‑based apps). - 6+ months of hands‑on experience with Agentic AI frameworks (CrewAI / AutoGen / LangGraph / LangChain Agents). - Strong ...

312k

... science, AI, Data Science, or related field Experience 3–5 years of experience in software/ML engineering At least 1–2 years of hands-on experience in Generative AI / LLM-based systems Strong programming skills in Python Experience with LLMs and GenAI frameworks (OpenAI, Hugging Face, Anthropic, Google etc.) Hands-on experience ...

... generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services ...