About the role
Strong experience in developing and deploying Agentic AI, Generative AI, and Machine Learning solutions using Python, with expertise in designing intelligent agents, orchestration workflows, and AI-driven automation. Hands-on experience with LLMs, RAG architectures, prompt engineering, vector databases, AI agent frameworks (LangGraph, CrewAI, AutoGen), and model integration into enterprise applications. Proficiency in Python, Machine Learning algorithms, data processing, feature engineering, model training, evaluation, and optimization using frameworks such as Scikit-Learn, TensorFlow, or PyTorch. Experience in MLOps and AI model deployment through CI/CD pipelines, including model versioning, automated testing, containerization (Docker), Kubernetes, and cloud platforms (AWS/GCP/Azure). Expertise in building interactive dashboards and analytics solutions using Power BI, Tableau, Streamlit, Dash, or similar technologies to visualize model insigh
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About the role
Strong experience in developing and deploying Agentic AI, Generative AI, and Machine Learning solutions using Python, with expertise in designing intelligent agents, orchestration workflows, and AI-driven automation. Hands-on experience with LLMs, RAG architectures, prompt engineering, vector databases, AI agent frameworks (LangGraph, CrewAI, AutoGen), and model integration into enterprise applications. Proficiency in Python, Machine Learning algorithms, data processing, feature engineering, model training, evaluation, and optimization using frameworks such as Scikit-Learn, TensorFlow, or PyTorch. Experience in MLOps and AI model deployment through CI/CD pipelines, including model versioning, automated testing, containerization (Docker), Kubernetes, and cloud platforms (AWS/GCP/Azure). Expertise in building interactive dashboards and analytics solutions using Power BI, Tableau, Streamlit, Dash, or similar technologies to visualize model insigh