Roles and Responsibilities

• Develop and implement AI-powered solutions leveraging Python to solve complex business problems.
• Design, build, and maintain multi-modal AI systems, integrating various data sources and machine learning models.
• Work with frameworks such as LangChain, Pinecone, and FAISS to implement Retrieval-Augmented Generation (RAG) pipelines that improve the accuracy and relevance of AI responses.
• Develop and maintain APIs to enable efficient interaction with AI models and other system components.
• Collaborate with data scientists, machine learning engineers, and product teams to integrate AI capabilities into end-user applications.
• Optimize and enhance system performance, focusing on scalability and low-latency responses.
• Stay up-to-date with the latest advancements in Python development, AI, and machine learning, continuously improving the existing infrastructure.

Required Qualifications

• Proven experience with Python, including advanced knowledge of Python libraries and tools relevant to AI and machine learning.
• Solid understanding of Retrieval-Augmented Generation (RAG) techniques and how they improve the performance of AI models.
• Hands-on experience with frameworks such as LangChain, Pinecone, FAISS, or similar technologies for building AI applications.
• Experience in developing RESTful APIs to interface with AI services and applications.
• Familiarity with multi-modal AI systems, capable of processing and integrating different types of data (e.g., text, images, audio).
• Experience with version control systems (e.g., Git) and working in agile development environments.
• Strong problem-solving skills and the ability to work independently as well as part of a team.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization tools like Docker.
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Exposure to NLP (Natural Language Processing) and computer vision techniques.
• Familiarity with database technologies (SQL/NoSQL) for storing and retrieving data used in AI model.

Posted By