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 technology.

Qualifications :

Minimum Required Skill Set :

- 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 environment.

Preferred Skills :