Blend360 India

• Salary:
• Location: Hyderabad
• Key Skills: Accounting

Job Description:

Job description We are seeking a highly skilled AWS MLOps Engineer with a overall experience 5 years with 3 years as ML Engineer particularly in building and managing ML pipelines in AWS. The ideal candidate has successfully built and deployed at least two MLOps projects using Amazon SageMaker or similar services, with a strong foundation in infrastructure as code and a keen understanding of MLOps best practices. Key Responsibilities: Maintain and enhance existing ML pipelines in AWS with a focus on Infrastructure as Code using CloudFormation. Implement minimal but essential pipeline extensions to support ongoing data science workstreams. Document infrastructure usage, architecture, and design using tools like Confluence, GitHub Wikis, and system diagrams. Act as the internal infrastructure expert, collaborating with data scientists to guide and support model deployments. Research and implement optimization strategies for ML workflows and infrastructure. Work independently and collaboratively with cross-functional teams to support ML product deployment and re-platforming initiatives. 5+ years of hands-on DevOps experience with AWS Cloud. Proven experience with at least two MLOps projects deployed using SageMaker or similar AWS services. Strong proficiency in AWS service Role: Site Reliability Engineer Industry Type: Industrial Automation Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Key Skills AutomationUsagegithubVersion controlGITdata scienceInfrastructureManagementAWSPython