CollegeDekho - AI/ML Engineer - Data Modeling

Responsibilities :

- 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 :

- Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field.

- 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 :

- Experience integrating AI models with CRM systems

- 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.