Job Description
Key Responsibilities
Design and implement AI and Generative AI solutions. Build RAG, Agentic AI, and LLM-based applications. Develop ML models for prediction, recommendation, and analytics. Manage AI platforms on AWS, GCP, and Azure. Implement MLOps, CI/CD, model monitoring, and deployment pipelines. Lead and mentor AI/ML engineering teams. Collaborate with stakeholders to drive AI transformation projects. Required Skills
Generative AI & LLMs (GPT-4, Claude, LLaMA, Gemini) RAG / Agentic AI LangChain, LangGraph, LlamaIndex Python, SQL, PyTorch, TensorFlow AWS, GCP, Azure Kubernetes, Docker, MLflow, Kubeflow Vector Databases (FAISS, ChromaDB) Preferred Certifications
AWS Machine Learning Specialty Google Professional ML Engineer Microsoft Azure Data Scientist Associate Education
Bachelor's or Master's Degree in Computer Science, AI, Data Science, or related field.
Design and implement AI and Generative AI solutions. Build RAG, Agentic AI, and LLM-based applications. Develop ML models for prediction, recommendation, and analytics. Manage AI platforms on AWS, GCP, and Azure. Implement MLOps, CI/CD, model monitoring, and deployment pipelines. Lead and mentor AI/ML engineering teams. Collaborate with stakeholders to drive AI transformation projects. Required Skills
Generative AI & LLMs (GPT-4, Claude, LLaMA, Gemini) RAG / Agentic AI LangChain, LangGraph, LlamaIndex Python, SQL, PyTorch, TensorFlow AWS, GCP, Azure Kubernetes, Docker, MLflow, Kubeflow Vector Databases (FAISS, ChromaDB) Preferred Certifications
AWS Machine Learning Specialty Google Professional ML Engineer Microsoft Azure Data Scientist Associate Education
Bachelor's or Master's Degree in Computer Science, AI, Data Science, or related field.
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