Machine Learning

What you will be doing at Webkul?

1. Python Proficiency and API Integration:
   • Demonstrate strong proficiency in Python programming language.
   • Design and implement scalable, efficient, and maintainable code for machine learning applications.
   • Integrate machine learning models with APIs to facilitate seamless communication between different software components.
2. Machine Learning Model Deployment, Training, and Performance:
   • Develop and deploy machine learning models for real-world applications.
   • Conduct model training, optimization, and performance evaluation.
   • Collaborate with cross-functional teams to ensure the successful integration of machine learning solutions into production systems.
3. Large Language Model Understanding and Integration:
   • Possess a deep understanding of large language models (LLMs) and their applications.
   • Integrate LLMs into existing systems and workflows to enhance natural language processing capabilities.
   • Stay abreast of the latest advancements in large language models and contribute insights to the team.
4. Langchain and RAG-Based Systems (e.g., LLamaindex):
   • Familiarity with Langchain and RAG-based systems, such as LLamaindex, will be a significant advantage.
   • Work on the design and implementation of systems that leverage Langchain and RAG-based approaches for enhanced performance and functionality.
5. LLM Integration with Vector Databases (e.g., Pinecone):
   • Experience in integrating large language models with vector databases, such as Pinecone, for efficient storage and retrieval of information.
   • Optimize the integration of LLMs with vector databases to ensure high-performance and low-latency interactions.

Awards: https://webkul.com/awards/