AI/ML Developer

As a Machine Learning and Generative AI Developer, your role involves building and deploying intelligent applications using cutting-edge technologies. Your key responsibilities include: - Working with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, Claude, and Gemini. - Designing and developing Retrieval-Augmented Generation (RAG) systems. - Developing scalable APIs using FastAPI and Flask. - Performing machine learning model training, inference, and evaluation. - Working on prompt engineering to optimize LLM outputs. - Building and managing AI pipelines using frameworks like LangChain, LlamaIndex, LangGraph, and CrewAI. - Handling structured and unstructured datasets using Pandas and NumPy. - Working with embeddings and vector search implementations. - Integrating vector databases like Pinecone, FAISS, Weaviate, and Chroma. - Collaborating with teams to integrate AI capabilities into real-world applications. - Using cloud and deployment tools for scalable AI solutions. - Maintaining code repositories and development workflows using Git and Jupyter Notebook. Qualifications required for this role include: - Strong programming skills in Python. - Basic understanding of JavaScript/TypeScript (preferred). - Experience in API development using FastAPI or Flask. - Good understanding of Machine Learning fundamentals, model training, inference, feature engineering, and model evaluation metrics. - Hands-on experience working with LLM APIs such as OpenAI, Azure OpenAI, Claude, and Gemini. - Knowledge of Prompt Engineering and Retrieval-Augmented Generation (RAG). - Experience with AI/LLM frameworks like LangChain, LlamaIndex, LangGraph, and CrewAI. - Strong data handling skills using Pandas and NumPy. - Understanding of embeddings and vector search concepts. - Experience with SQL and vector databases. - Basic knowledge of cloud platforms like AWS, Azure, and GCP. - Familiarity with Docker, REST APIs, Git, and Jupyter Notebook. - Passion for AI/ML and building scalable AI-powered applications. As a Machine Learning and Generative AI Developer, your role involves building and deploying intelligent applications using cutting-edge technologies. Your key responsibilities include: - Working with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, Claude, and Gemini. - Designing and developing Retrieval-Augmented Generation (RAG) systems. - Developing scalable APIs using FastAPI and Flask. - Performing machine learning model training, inference, and evaluation. - Working on prompt engineering to optimize LLM outputs. - Building and managing AI pipelines using frameworks like LangChain, LlamaIndex, LangGraph, and CrewAI. - Handling structured and unstructured datasets using Pandas and NumPy. - Working with embeddings and vector search implementations. - Integrating vector databases like Pinecone, FAISS, Weaviate, and Chroma. - Collaborating with teams to integrate AI capabilities into real-world applications. - Using cloud and deployment tools for scalable AI solutions. - Maintaining code repositories and development workflows using Git and Jupyter Notebook. Qualifications required for this role include: - Strong programming skills in Python. - Basic understanding of JavaScript/TypeScript (preferred). - Experience in API development using FastAPI or Flask. - Good understanding of Machine Learning fundamentals, model training, inference, feature engineering, and model evaluation metrics. - Hands-on experience working with LLM APIs such as OpenAI, Azure OpenAI, Claude, and Gemini. - Knowledge of Prompt Engineering and Retrieval-Augmented Generation (RAG). - Experience with AI/LLM frameworks like LangChain, LlamaIndex, LangGraph, and CrewAI. - Strong data handling skills using Pandas and NumPy. - Understanding of embeddings and vector search concepts. - Experience with SQL and vector databases. - Basic knowledge of cloud platforms like AWS, Azure, and GCP. - Familiarity with Docker, REST APIs, Git, and Jupyter Notebook. - Passion for AI/ML and building scalable AI-powered applications.