AI / ML Engineer

You are a highly skilled AI/ML Engineer with 35 years of experience in AI/ML or Data Science. You have strong hands-on experience in Generative AI, including LLMs, RAG, and Prompt Engineering. Your experience also includes working with LangChain, LangGraph, OpenAI API, and Hugging Face. In addition, you possess strong ML/DL fundamentals in Regression, Classification, NLP, and Deep Learning. You have expertise in building RAG pipelines, AI agents, and multi-agent systems. Your skills include proficiency in Python and SQL, as well as experience with vector databases such as Pinecone and FAISS. Exposure to FastAPI, Docker, and AWS services like S3, EC2, and Bedrock/SageMaker is also part of your skill set. Key Responsibilities: - Utilize your expertise in Generative AI to develop production-grade ML systems - Build and optimize RAG pipelines and AI agents - Collaborate with the team to develop multi-agent systems - Implement ML/DL models for Regression, Classification, and NLP tasks - Work with vector databases like Pinecone and FAISS to enhance system performance - Utilize FastAPI, Docker, and AWS services for deployment and scaling of AI solutions Qualifications Required: - 35 years of experience in AI/ML or Data Science - Strong hands-on experience in Generative AI (LLMs, RAG, Prompt Engineering) - Experience with LangChain, LangGraph, OpenAI API, and Hugging Face - Strong ML/DL fundamentals (Regression, Classification, NLP, Deep Learning) - Experience building RAG pipelines, AI agents, or multi-agent systems - Proficiency in Python and SQL - Experience with vector databases (Pinecone, FAISS) - Exposure to FastAPI, Docker, AWS services (S3, EC2, Bedrock/SageMaker) You are a highly skilled AI/ML Engineer with 35 years of experience in AI/ML or Data Science. You have strong hands-on experience in Generative AI, including LLMs, RAG, and Prompt Engineering. Your experience also includes working with LangChain, LangGraph, OpenAI API, and Hugging Face. In addition, you possess strong ML/DL fundamentals in Regression, Classification, NLP, and Deep Learning. You have expertise in building RAG pipelines, AI agents, and multi-agent systems. Your skills include proficiency in Python and SQL, as well as experience with vector databases such as Pinecone and FAISS. Exposure to FastAPI, Docker, and AWS services like S3, EC2, and Bedrock/SageMaker is also part of your skill set. Key Responsibilities: - Utilize your expertise in Generative AI to develop production-grade ML systems - Build and optimize RAG pipelines and AI agents - Collaborate with the team to develop multi-agent systems - Implement ML/DL models for Regression, Classification, and NLP tasks - Work with vector databases like Pinecone and FAISS to enhance system performance - Utilize FastAPI, Docker, and AWS services for deployment and scaling of AI solutions Qualifications Required: - 35 years of experience in AI/ML or Data Science - Strong hands-on experience in Generative AI (LLMs, RAG, Prompt Engineering) - Experience with LangChain, LangGraph, OpenAI API, and Hugging Face - Strong ML/DL fundamentals (Regression, Classification, NLP, Deep Learning) - Experience building RAG pipelines, AI agents, or multi-agent systems - Proficiency in Python and SQL - Experience with vector databases (Pinecone, FAISS) - Exposure to FastAPI, Docker, AWS services (S3, EC2, Bedrock/SageMaker)