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Senior MLOps Engineer

Tech transformation specialists uniting human expertise with AI to create scalable tech solutions, with over 6,500 employees worldwide.
Machine Learning
Senior Software Engineer
Remote
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Senior MLOps Engineer

CI&T, a global tech transformation company with over 6,500 employees, is seeking a Senior MLOps Engineer to join their team in São Paulo, Brazil, with remote work options. This role is crucial in bridging data science, engineering, and operations by implementing and maintaining scalable machine learning pipelines.

The position requires expertise in MLOps tools and practices, including Kedro for pipeline development, MLflow for experiment tracking, and Kubernetes for deployment. You'll work with cutting-edge technologies like ArgoCD, Grafana, and AWS services to build robust ML infrastructure.

The ideal candidate should have a strong background in ML systems deployment, with experience in both the technical aspects of MLOps and the ability to collaborate effectively across teams. You'll be responsible for the full ML lifecycle, from pipeline development to production deployment and monitoring.

CI&T offers a comprehensive benefits package including health insurance, professional development opportunities through CI&T University, and various wellness programs. The company strongly values diversity and inclusion, actively encouraging applications from underrepresented groups.

This role presents an excellent opportunity for experienced ML engineers looking to work with advanced technologies in a company that has built partnerships with over 1,000 clients during its 30-year history. You'll be part of a team that's pushing the boundaries of AI implementation while maintaining high standards of reliability and scalability.

Last updated 2 days ago

Responsibilities For Senior MLOps Engineer

  • Develop and maintain end-to-end ML pipelines using Kedro
  • Manage experiment tracking and model versioning with MLflow
  • Deploy models using ArgoCD for GitOps workflows and Kubernetes (EKS)
  • Set up and manage observability and performance monitoring using Grafana + Prometheus
  • Handle artifact and dependency management using JFrog Artifactory
  • Operate and administer collaborative computing environments with JupyterHub
  • Automate the full ML lifecycle using CI/CD pipelines integrated with AWS

Requirements For Senior MLOps Engineer

Kubernetes
Python
  • Experience with Kedro, Argo Workflows, ArgoCD
  • Knowledge of MLflow
  • Expertise in Docker, Kubernetes (EKS), AWS ECR, Helm Charts
  • Experience with Grafana, Prometheus, AWS CloudWatch
  • Knowledge of AWS, Terraform, JFrog Artifactory
  • Experience with JupyterHub, Git, GitHub Actions / GitLab CI
  • Knowledge of DVC, Delta Lake
  • Strong understanding of version control for code, data, and models
  • Knowledge of security, authentication, and governance in data platforms
  • Practical experience with automated deployment of ML models
  • Familiarity with ML-specific CI/CD
  • Excellent communication skills
  • Degree in Computer Engineering, Data Science, Information Systems, or related fields
  • Proven experience deploying and maintaining ML solutions in production environments

Benefits For Senior MLOps Engineer

Medical Insurance
Dental Insurance
Education Budget
Parental Leave
  • Health and dental insurance
  • Meal and food allowance
  • Childcare assistance
  • Extended paternity leave
  • Wellhub (Gympass)
  • TotalPass
  • Profit-sharing (PLR)
  • Life insurance
  • CI&T University
  • Discount club
  • Free online platform for physical, mental, and overall well-being
  • Pregnancy and responsible parenting course
  • Partnerships with online learning platforms
  • Language learning platform

Interested in this job?

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