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 : - 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 environment. Preferred 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.

Gurgaon/Gurugram

CollegeDekho - AI/ML Engineer - Data Modeling (2-4 yrs)

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 : - 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 environment. Preferred 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.

CollegeDekho - Artificial Intelligence/Machine Learning Engineer - LLM Models (1-3 yrs)

Key Responsibilities : - Design, develop, and maintain robust, scalable, and secure web applications. - Build and optimize RESTful APIs using Django and Django REST Framework (DRF). - Ensure database efficiency with PostgreSQL/MySQL, including writing optimized queries and database management. - Implement asynchronous programming and event-driven architecture to improve application performance. - Work with multi-threading and multi-processing to enhance application responsiveness. - Write clean, maintainable, and efficient code following industry best practices and design patterns. - Ensure website security by implementing secure coding principles and best practices. - Collaborate with frontend developers (React.js) and DevOps teams for seamless integration. - Stay up to date with the latest Python/Django advancements and best practices. Requirements : - 3+ years of experience as a Python Developer. - Strong expertise in Python, Django, and Django REST Framework. - Solid understanding of relational databases (PostgreSQL / MySQL) and writing optimized queries. - Strong understanding of API development, authentication (JWT/OAuth), and security best practices. - Experience with asynchronous programming and event-driven architecture. - Knowledge of multi-threading and multi-processing for performance optimization. - Understanding of software design patterns and scalable application architecture. - Experience with Git, Jenkins. - Strong problem-solving skills and ability to write clean, reusable, and efficient code. - Excellent communication and teamwork skills. Nice to Have (Preferred but not Mandatory) : - Experience with AWS services like EC2, S3, RDS, EKS. - Experience with React.js or frontend technologies. - Familiarity with Kubernetes and containerized environments. - Experience in message queues (Celery, RabbitMQ, Kafka).

CollegeDekho - Backend Developer - Python/Django (2-4 yrs)

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