About this role
Job Requirements a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } We are looking for a Data Scientist with strong expertise in Generative AI, Machine Learning, and cloud-based AI solutions on Microsoft Azure. Key Responsibilities:
• Design, develop, and deploy Generative AI and machine learning solutions for enterprise use cases. • Build scalable AI/ML applications using Python and PySpark. • Develop and integrate AI solutions within Microservices-based architectures. • Implement MLOps practices for model training, deployment, monitoring, versioning, and lifecycle management. • Leverage Microsoft Azure services to build scalable, secure, and production-ready AI/ML solutions. • Collaborate with data engineering, application, and cloud teams to operationalize models. • Optimize model performance, scalability, reliability, and cost. Required Skills: Generative AI, Machine Learning, Python, PySpark, MLOps, Microsoft Azure, Microservices, model deployment, and data processing. Experience: 5+ years in Data Science/ML, with hands-on experience delivering production AI solutions.
Work Experience a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } We are looking for a Data Scientist with strong expertise in Generative AI, Machine Learning, and cloud-based AI solutions on Microsoft Azure. Key Responsibilities:
• Design, develop, and deploy Generative AI and machine learning solutions for enterprise use cases. • Build scalable AI/ML applications using Python and PySpark. • Develop and integrate AI solutions within Microservices-based architectures. • Implement MLOps practices for model training, deployment, monitoring, versioning, and lifecycle management. • Leverage Microsoft Azure services to build scalable, secure, and production-ready AI/ML solutions. • Collaborate with data engineering, application, and cloud teams to operationalize models. • Optimize model performance, scalability, reliability, and cost. Required Skills: Generative AI, Machine Learning, Python, PySpark, MLOps, Microsoft Azure, Microservices, model deployment, and data processing. Experience: 5+ years in Data Science/ML, with hands-on experience delivering production AI solutions.