AI/ML Engineer

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