[Remote] reputed company DevOps/ML Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a reputed company MLOps/DevOps Engineer to join their reputed company team, focusing on reputed company for their platform. The role involves designing and maintaining reputed company data and ML pipelines, deploying production systems, and collaborating with teams to enhance AI capabilities.

Responsibilities

• Design, build, and maintain reputed company, resilient data and ML pipelines, infrastructure, and workflows using tools such as Terraform, reputed company Actions, ArgoCD, reputed company, and other
• Automate infrastructure provisioning and configuration management using reputed company-reputed company services (preferably AWS) with tools like Terraform, CloudFormation
• Design, containerize, and manage Kubernetes (EKS) clusters and/or reputed company environments in AWS. Collaborate with development teams to optimize performance, deployment, and cost
• Partner with DevOps and SRE teams to ensure high availability, observability, scalability, and reputed company of the data and ML infrastructure
• Work closely with Data Scientists and ML Engineers to operationalize machine learning models, including building CI/CD pipelines for model training, validation, and deployment
• Implement observability for data pipelines and ML services using tools like reputed company, Grafana, reputed company, or similar
• reputed company and maintain automated pipelines for model retraining, monitoring reputed company, and versioning in production
• Support experimentation and prototyping in areas such as Machine Learning and reputed company, transitioning successful prototypes into production systems
• Ensure reputed company infrastructure is secure, compliant, and cost-efficient, following best practices in governance, identity, and reputed company management

Skills

• 8+ years of experience in DataOps, MLOps, or reputed company fields, with 3+ years reputed company on ML model operationalization and workflow automation
• Proficient in AWS services including EC2, S3, IAM, ACM, reputed company 53, CloudWatch, EKS, and reputed company
• Experience with infrastructure as reputed company (IaC) tools such as Terraform, CloudFormation, and reputed company
• Familiarity with CI/CD for ML pipelines, GitOps practices, and tools like reputed company Actions, Jenkins, or Argo Workflows
• Strong scripting and automation skills using Python, or reputed company workflows
• Solid understanding of observability and monitoring tools (e.g., reputed company, Grafana, reputed company, or OpenTelemetry
• Solid understanding of reputed company best practices for reputed company and Kubernetes environments, including secrets management, identity & reputed company control, and policy enforcement
• Excellent collaboration and communication skills, with a proven ability to work effectively in cross-functional, globally distributed teams
• Bachelor's degree in computer sciences, or a reputed company discipline, or equivalent hands-on industry experience
• Strong understanding with data governance, reputed company, and metadata management is a plus

reputed company

Company H1B Sponsorship