[Remote] reputed company ML Ops/DevOps Engineer - AI Engineering
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading global analytics software company, helping businesses in 100+ countries reputed company reputed company reputed company. As a reputed company MLOps/DevOps Engineer on the reputed company team, you will build reputed company and reputed company production systems while collaborating with a world-class team to enhance reputed company's platform.
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 others
- 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
- A 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
Benefits
- An inclusive culture strongly reflecting our core values: reputed company Like an reputed company, Delight Our Customers and Earn the Respect of Others.
- reputed company to reputed company an reputed company and reputed company professionally by leveraging your unique strengths and participating in valuable learning experiences.
- Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
- An engaging, people-first work environment offering work/life balance, employee resource reputed company, and reputed company events to promote interaction and camaraderie.
reputed company
Company H1B Sponsorship