Data / Analytics Engineer Lorven Technologies

6.0 - 10.0 years

10 - 17 Lacs

Pune, Gurugram, Bengaluru

Work from Office

Job Description: We are looking for a skilled Data / Analytics Engineer with hands-on experience in vector databases and search optimization techniques . You will help build scalable, high-performance infrastructure to support AI-powered applications like semantic search , recommendation systems , and RAG pipelines . Key Responsibilities: Optimize vector search algorithms for performance and scalability. Build pipelines to process high-dimensional embeddings (e.g., BERT , CLIP , OpenAI ). Implement ANN indexing techniques like HNSW , IVF , PQ . Integrate vector search with data platforms and APIs . Collaborate with cross-functional teams (data scientists, engineers, product). Monitor and resolve latency , throughput , and scaling issues. Must-Have Skills: Python AWS Vector Databases (e.g., Elasticsearch , FAISS , Pinecone ) Vector Search / Similarity Search ANN Search Algorithms HNSW , IVF , PQ Snowflake / Databricks Embedding Models – BERT , CLIP , OpenAI Kafka / Flink for real-time data pipelines REST APIs , GraphQL , or gRPC for integration Good to Have: Knowledge of semantic caching and hybrid retrieval Experience with distributed systems and high-performance computing Familiarity with RAG (Retrieval-Augmented Generation) workflows Apply Now if You: Enjoy solving performance bottlenecks in AI infrastructure Love working with cutting-edge ML models and search technologies Thrive in collaborative , fast-paced environments

Posted 2 weeks ago

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AI RAG Developer VOCSO

2.0 - 5.0 years

3 - 7 Lacs

Faridabad

Work from Office

Hiring AI & Data Retrieval Engineer with expertise in NLQ, Text-to-SQL, LLMs, LangChain, pgVector, PostgreSQL, vector search, Python, AI libraries, Agentic AI & API integration. Exp with NLP, RAG, BI tools, live projects & LLM fine-tuning preferred.

Posted 1 month ago

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Ai Ml Engineer Quiksync Technologies Llp

4.0 - 9.0 years

13 - 23 Lacs

Pune

Remote

We are seeking a highly skilled and innovative AI/ML Engineer with hands-on experience in developing and deploying intelligent chatbot systems. The ideal candidate will have a strong background in machine learning, natural language processing (NLP), and software engineering, with proven experience building conversational AI systems that deliver real value to users. Below is JD- Design, develop, and deploy AI-driven search solutions for eCommerce platforms to enhance product discovery and relevance. Build and optimize agentic AI chatbots that guide users through personalized shopping experiences, customer service, and post-purchase workflows. Work closely with product managers, UX designers, and developers to translate business requirements into intelligent solutions. Integrate third-party or custom AI/ML services with eCommerce platforms like Shopify, Magento, Adobe Commerce, Salesforce Commerce Cloud , etc. Apply natural language understanding (NLU) and context management for advanced chatbot functionality. Analyze search and conversation data to continuously improve relevance, ranking, and chatbot accuracy. Experiment with generative AI (e.g., OpenAI, Anthropic) for advanced conversational capabilities. Collaborate in an agile environment, participate in code reviews, and contribute to architecture discussions. Fine-tune language models and recommendation engines to personalize user interactions based on behavior, preferences, and purchase history. Monitor performance of chatbot systems and iterate using A/B testing, user feedback, and analytics tools. Ensure chatbot systems comply with privacy, security, and data governance standards relevant to eCommerce and consumer data. Preferred: Experience working with Google Vertex search/ Vector search / Elastic search / Milvus, etc Ecommerce AI search experience. Experience in building and deploying AI/ML solutions, with at least 2 years focused on chatbot development. Proficiency in NLP tools and frameworks (e.g., spaCy, NLTK, Hugging Face, Rasa, Dialogflow, Botpress). Experience working with LLMs and APIs from providers like OpenAI, Anthropic, or Cohere. Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

Posted 1 month ago

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