Note: The job is a remote job and is open to candidates in USA. ECS is a leading provider of cloud, AI, data, and enterprise transformation solutions, seeking a Sr. Data Scientist to join their team. In this role, you will design and optimize intelligent search and retrieval systems using advanced AI techniques to improve decision-making outcomes.
Responsibilities
- Design, implement, and optimize intelligent search solutions using Elasticsearch, including lexical, semantic, and vector-based search techniques
- Apply Retrieval-Augmented Generation (RAG) patterns to enhance LLM-driven applications with accurate, relevant, and contextual enterprise data
- Consult with customers to understand business objectives, data landscapes, and search challenges, translating requirements into effective AI-powered search strategies
- Build and refine embedding strategies, indexing approaches, and query workflows to improve relevance, precision, and recall
- Evaluate and integrate LLMs and GenAI capabilities into enterprise search and analytics use cases
- Collaborate with data, AI, and platform teams to align GenAI solutions with existing systems and operational workflows
- Provide strategic recommendations to improve search performance, result explainability, and overall user experience
- Lead knowledge-sharing sessions, technical workshops, and enablement activities related to GenAI, RAG, and advanced search techniques
- Serve as a trusted advisor for customers and internal stakeholders on emerging trends in AI-powered search and retrieval
- Stay current with advancements in Elasticsearch, GenAI, LLM tooling, and search relevance methodologies
Skills
- Experience in designing, implementing, and optimizing intelligent search solutions using Elasticsearch
- Knowledge of lexical, semantic, and vector-based search techniques
- Experience applying Retrieval-Augmented Generation (RAG) patterns to enhance LLM-driven applications
- Ability to consult with customers to understand business objectives, data landscapes, and search challenges
- Experience translating requirements into effective AI-powered search strategies
- Skills in building and refining embedding strategies, indexing approaches, and query workflows
- Experience evaluating and integrating LLMs and GenAI capabilities into enterprise search and analytics use cases
- Ability to collaborate with data, AI, and platform teams to align GenAI solutions with existing systems and operational workflows
- Experience providing strategic recommendations to improve search performance, result explainability, and overall user experience
- Ability to lead knowledge-sharing sessions, technical workshops, and enablement activities related to GenAI, RAG, and advanced search techniques
- Experience serving as a trusted advisor for customers and internal stakeholders on emerging trends in AI-powered search and retrieval
- Knowledge of advancements in Elasticsearch, GenAI, LLM tooling, and search relevance methodologies
Benefits
- General Description of Benefits
Company Overview