5-8 years of experience in AI/ML development including designing and deploying ML models. Strong software engineering background. Hands-on experience with Azure Machine Learning Azure OpenAI Cognitive Services and Azure Data Lake. Experience building RAG systems vector embeddings and knowledge retrieval pipelines. Proficiency in big data processing technologies such as Databricks Azure Data Factory or Kafka. Experience with multi-agent systems or agentic AI orchestration frameworks. Background in NLP computer vision or advanced deep learning architectures. Experience with vector databases. Expertise in AI/ML frameworks like TensorFlow PyTorch Keras or Scikit-learn. Experience with NLP Computer Vision Deep Learning and Generative AI models. Strong knowledge of MLOps CI/CD for AI model deployment and containerization. Familiarity with data engineering ETL pipelines and SQL/NoSQL databases. Experience working in an enterprise environment with large-scale AI deployments. Strong analytical problem-solving and communication skills.
5-8 years of experience in AI/ML development including designing and deploying ML models. Strong software engineering background. Hands-on experience with Azure Machine Learning Azure OpenAI Cognitive Services and Azure Data Lake. Experience building RAG systems vector embeddings and knowledge retri...
5-8 years of experience in AI/ML development including designing and deploying ML models. Strong software engineering background. Hands-on experience with Azure Machine Learning Azure OpenAI Cognitive Services and Azure Data Lake. Experience building RAG systems vector embeddings and knowledge retrieval pipelines. Proficiency in big data processing technologies such as Databricks Azure Data Factory or Kafka. Experience with multi-agent systems or agentic AI orchestration frameworks. Background in NLP computer vision or advanced deep learning architectures. Experience with vector databases. Expertise in AI/ML frameworks like TensorFlow PyTorch Keras or Scikit-learn. Experience with NLP Computer Vision Deep Learning and Generative AI models. Strong knowledge of MLOps CI/CD for AI model deployment and containerization. Familiarity with data engineering ETL pipelines and SQL/NoSQL databases. Experience working in an enterprise environment with large-scale AI deployments. Strong analytical problem-solving and communication skills.
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