Ml Ops with Azure

4 days ago

Remote, India Technology Next Full time

**"ML Ops with Azure" (contractual)** **Experience-** 6+years **Tenure-** 6 months (extendable upto 2-years) **Location-** Remote **Timing-** IST **Salary-** INR (80k-90k) in hand **Skills set-** **Responsibilities**: - Design, implement, and maintain scalable and reliable machine learning infrastructure on Azure, ensuring smooth deployment and operation of machine learning models. - Collaborate closely with data scientists, machine learning engineers, and software developers to streamline the end-to-end machine learning lifecycle, from model development to deployment and monitoring. - Develop automation scripts and tools to automate deployment processes, configuration management, and infrastructure provisioning, optimizing efficiency and reliability. - Manage Azure resources efficiently, including virtual machines, containers, storage, and networking components, to support machine learning workloads at scale. - Implement robust monitoring and logging solutions to track model performance, system health, and data quality, and proactively identify and address issues. - Work closely with DevOps teams to integrate machine learning workflows into CI/CD pipelines and ensure seamless integration with existing software development processes. - Stay up-to-date with the latest advancements in Azure machine learning services, tools, and technologies, and evaluate their potential impact on our MLOps practices. - Provide guidance and mentorship to junior members of the team, fostering a culture of continuous learning and knowledge sharing. **Qualifications**: - Bachelor's or master's degree in computer science, engineering, mathematics, or a related field. - Minimum of 6 years of professional experience in machine learning operations, with a focus on Azure cloud platform. - Extensive hands-on experience with Azure services such as Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Databricks, Azure DevOps, and Azure Monitor. - Proficiency in programming languages commonly used in machine learning and cloud environments, such as Python, R, and PowerShell. - Strong understanding of MLOps best practices, including model versioning, containerization, continuous integration, and continuous deployment (CI/CD). - Solid understanding of software development methodologies and practices, including agile development and version control systems (e.g., Git). - Excellent problem-solving skills and ability to troubleshoot complex issues in distributed systems and production environments. - Effective communication skills and ability to collaborate with cross-functional teams in a fast-paced, dynamic environment. - Azure certifications (e.g., Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Azure DevOps Engineer Expert) are a plus. Pay: ₹60,000.00 - ₹70,000.00 per month Schedule: - Day shift - Monday to Friday **Experience**: - total work: 6 years (required) - ML: 6 years (required) - Ops: 6 years (required) Work Location: Remote

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