Expert AI&ML Engineer (Pune)

Ciklum is looking for a Expert Artificial Intelligence/Machine Learning Engineer to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Lead Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow to design, configure, and optimize intelligent AI-powered search and retrieval systems using SearchAI. The ideal candidate will have robust expertise in LLM-powered retrieval architectures, content ingestion pipelines, chunking strategies, retrieval quality evaluation, and enterprise AI search optimization. This role will play a key part in enabling next-generation AI experiences by improving search relevance, retrieval accuracy, and content intelligence across enterprise platforms. Responsibilities: - Design and implement effective chunking strategies for structured and unstructured enterprise content - Manage content ingestion workflows and retrieval optimization for LLM-based search systems - Perform retrieval quality testing, relevance evaluation, and response accuracy analysis - Support migration activities from SearchAssist to SearchAI platforms - Validate enterprise content against technical standards and ingestion requirements - Work closely with cross-functional teams to improve search relevance and user experience - Analyze retrieval patterns and optimize AI search performance using data-driven insights - Troubleshoot indexing, ingestion, retrieval, and ranking-related issues - Collaborate with AI/ML teams to enhance semantic search and agentic AI capabilities Requirements: - Hands-on expertise in: - Content chunking strategies - AI search pipelines - Retrieval optimization - Semantic search systems - Experience working with LLM-powered retrieval systems and RAG architectures - Strong understanding of - Vector search - Embeddings - AI content ingestion pipelines - Search relevance tuning - Technical Skills - Strong programming skills in Python - Experience with REST APIs and enterprise integrations - Understanding of unstructured content processing and indexing - Experience with retrieval quality testing and evaluation frameworks - Knowledge of prompt engineering and AI workflow orchestration Desirable: - Exposure to Agentic AI frameworks and autonomous AI workflows - Experience with vector databases such as Pinecone, Weaviate, or FAISS - Familiarity with LangChain, LlamaIndex, or similar AI orchestration frameworks - Understanding of AI governance and content validation standards Ciklum is looking for a Expert Artificial Intelligence/Machine Learning Engineer to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Lead Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow to design, configure, and optimize intelligent AI-powered search and retrieval systems using SearchAI. The ideal candidate will have robust expertise in LLM-powered retrieval architectures, content ingestion pipelines, chunking strategies, retrieval quality evaluation, and enterprise AI search optimization. This role will play a key part in enabling next-generation AI experiences by improving search relevance, retrieval accuracy, and content intelligence across enterprise platforms. Responsibilities: - Design and implement effective chunking strategies for structured and unstructured enterprise content - Manage content ingestion workflows and retrieval optimization for LLM-based search systems - Perform retrieval quality testing, relevance evaluation, and response accuracy analysis - Support migration activities from SearchAssist to SearchAI platforms - Validate enterprise content against technical standards and ingestion requirements - Work closely with cross-functional teams to improve search relevance and user experience - Analyze retrieval patterns and optimize AI search performance using data-driven insights - Troubleshoot indexing, ingestion, retrieval, and ranking-related issues - Collaborate with AI/ML teams to enhance semantic search and agentic AI capabilities Requirements: - Hands-on expertise in: - Content chunking strategies - AI search pipelines - Retrieval optimization - Semantic search systems - Experience working with