AI Driven Search Engineer

2 weeks ago


shimoga, India beBeeDeveloper Full time

Job OverviewDevelop and refine AI-driven search, retrieval, and query understanding models.Design ML components for Conversational Search:Multi-turn context handling and processingQuery intent detection and classificationRetrieval-augmented generation (RAG) pipelines and workflowsReasoning architectures (ReAct, static + dynamic agent flows)Optimize embedding models, vector stores, and similarity search systems for improved performance.Build personalized ranking and recommendation models using deep learning techniques.Work on large-scale ML systems optimized for:Low latency and high throughputCost-efficient inference and real-time processingImplement ML pipeline best practices (versioning, monitoring, A/B testing, observability).Collaborate with platform teams to integrate ML services across search, recommendations, and conversational agents.Develop caching strategies (prompt cache, vector cache, similarity caching) to meet strict SLA targets.Contribute to long-term roadmap: foundational retrieval models, multi-objective optimization, and user lifecycle modeling.Strong background in machine learning and AI research.Proficiency in programming languages such as Python or Java.Experience with large-scale data processing and storage systems.Knowledge of database systems and query optimization techniques.Familiarity with cloud-based platforms and containerization.Opportunities for professional growth and development.Collaborative and innovative work environment.Competitive compensation and benefits package.Recognition and rewards for outstanding performance.



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