▷ Urgent CollegeDekho

Job Description Responsibilities - Design, develop, and deploy LLM-based applications for AI-driven CRM solutions on Salesforce. - Implement Retrieval-Augmented Generation (RAG) architectures to optimize the contextual accuracy of LLMs. - Leverage Vector Databases (e.g., Pinecone, FAISS, etc; ) to manage and retrieve high-dimensional data for AI applications. - Integrate external knowledge sources into AI models, enhancing their ability to deliver contextual and business-relevant insights. - Collaborate closely with cross-functional teams (including DevOps, data, and engineering) to ensure AI solutions align with business objectives and scale effectively. - Stay up-to-date with advancements in AI, including LLMs, RAG architectures, and innovations in database and cloud : Required Skill Set : - Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. - Proven experience working with LLMs (e.g., GPT, BERT) and implementing them in production-level applications. - Expertise in RAG architecture for improving model relevance and performance in AI-driven systems. - Strong experience with Vector Databases to handle large-scale, high-dimensional data. - Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face). - Familiarity with deploying AI/ML models on cloud platforms with a focus on scalability. - Excellent problem-solving skills and ability to work collaboratively in a dynamic, fast-paced Skills : - Experience integrating AI models with CRM systems - Experience with MLOps for scaling and automating ML model deployment and management. - Familiarity with graph databases and semantic search technologies. - Understanding of AI-driven product development lifecycle, from data collection and model development to deployment and performance monitoring. (ref:hirist.tech)