ML Engineer - Advanced Analytics (MLOps & Azure AI)

Role Overview: As an ML Engineer focusing on Advanced Analytics at our company, you will be responsible for leveraging your expertise in MLOps and Azure AI to deploy and manage machine learning solutions on Microsoft Azure. Your role will involve building, monitoring, and optimizing AI/ML solutions to meet business objectives effectively and efficiently. Key Responsibilities: - Utilize your skills in Azure Machine Learning, Azure OpenAI Service, Azure Cognitive Services, Azure Speech Services, Python Programming, Azure DevOps, Azure CLI, CI/CD Pipelines, Docker, Kubernetes/AKS, Azure SDKs, Azure Monitor & Application Insights, Managed Identity & RBAC, and MLOps Lifecycle Management to develop, deploy, and maintain machine learning models. - Collaborate with cross-functional teams to ensure seamless integration of AI/ML solutions with existing systems and processes. - Implement best practices in MLOps to streamline the machine learning lifecycle and enhance model performance and scalability. - Stay updated with the latest trends and advancements in AI/ML technologies and tools to drive innovation and continuous improvement within the organization. Qualifications Required: - 7-10 years of relevant experience in machine learning engineering, with a focus on MLOps and Azure AI services. - Proficiency in Azure services such as Azure Machine Learning, Azure Cognitive Services, Azure Speech Services, and Azure OpenAI Service. - Strong programming skills in Python and experience with Azure DevOps, Azure CLI, CI/CD Pipelines, Docker, Kubernetes/AKS, Azure SDKs, Azure Monitor & Application Insights, and Managed Identity & RBAC. - Hands-on experience in managing the end-to-end lifecycle of machine learning models, including deployment, monitoring, and optimization. - Excellent communication and collaboration skills to work effectively in a team environment and interact with stakeholders across different functions. (Note: Additional details about the company were not provided in the job description.) Role Overview: As an ML Engineer focusing on Advanced Analytics at our company, you will be responsible for leveraging your expertise in MLOps and Azure AI to deploy and manage machine learning solutions on Microsoft Azure. Your role will involve building, monitoring, and optimizing AI/ML solutions to meet business objectives effectively and efficiently. Key Responsibilities: - Utilize your skills in Azure Machine Learning, Azure OpenAI Service, Azure Cognitive Services, Azure Speech Services, Python Programming, Azure DevOps, Azure CLI, CI/CD Pipelines, Docker, Kubernetes/AKS, Azure SDKs, Azure Monitor & Application Insights, Managed Identity & RBAC, and MLOps Lifecycle Management to develop, deploy, and maintain machine learning models. - Collaborate with cross-functional teams to ensure seamless integration of AI/ML solutions with existing systems and processes. - Implement best practices in MLOps to streamline the machine learning lifecycle and enhance model performance and scalability. - Stay updated with the latest trends and advancements in AI/ML technologies and tools to drive innovation and continuous improvement within the organization. Qualifications Required: - 7-10 years of relevant experience in machine learning engineering, with a focus on MLOps and Azure AI services. - Proficiency in Azure services such as Azure Machine Learning, Azure Cognitive Services, Azure Speech Services, and Azure OpenAI Service. - Strong programming skills in Python and experience with Azure DevOps, Azure CLI, CI/CD Pipelines, Docker, Kubernetes/AKS, Azure SDKs, Azure Monitor & Application Insights, and Managed Identity & RBAC. - Hands-on experience in managing the end-to-end lifecycle of machine learning models, including deployment, monitoring, and optimization. - Excellent communication and collaboration skills to work effectively in a team environment and interact with stakeholders across different functions. (Note: Additional details about the company were not provided in the job description.)