Senior MLOps Engineer (Digital Transformation)

TL;DR

Senior MLOps Engineer (Digital Transformation): Building, deploying, and optimizing scalable machine learning infrastructure with an accent on ML deployment pipelines, automation of training and monitoring workflows, and cloud-based systems. Focus on implementing CI/CD best practices for ML lifecycles, model governance, and troubleshooting production issues in distributed environments.

Location: LatAm, 100% remote

Company

Leading nearshore staff augmentation provider headquartered in New York, with 600+ tech professionals based in Latin America partnering with U.S. companies on digital transformation projects.

What you will do

• Design and maintain robust ML deployment pipelines for seamless model delivery.
• Automate model training, deployment, and monitoring workflows to boost efficiency.
• Collaborate with Data Scientists and Engineering teams to integrate models into production.
• Optimize cloud infrastructure for scalability and reliability of ML systems.
• Implement CI/CD best practices tailored for machine learning lifecycles.
• Monitor production systems and troubleshoot performance or governance issues.

Requirements

• Extensive experience as MLOps Engineer or Machine Learning Engineer in production environments.
• Advanced proficiency in Python.
• Proven track record deploying, monitoring, and maintaining ML models at scale.
• Hands-on experience with Docker and Kubernetes for containerization and orchestration.
• Strong expertise in cloud platforms such as AWS, Azure, or GCP.
• Deep understanding of model governance and end-to-end ML lifecycle.
• Experience with CI/CD pipelines for machine learning workflows.

Nice to have

• Proficiency with ML orchestration tools such as Kubeflow, Airflow, or MLFlow.
• Experience with Infrastructure as Code (IaC) using Terraform.
• Familiarity with monitoring and observability tools in distributed environments.
• Experience with LLMOps or GenAI pipelines.
• Background in enterprise-scale infrastructure or regulated environments.
• Familiarity with managed platforms like Databricks, SageMaker, or Vertex AI.

Culture & Benefits

• 100% remote work with freedom to choose your location (laptop and internet required).
• Highly competitive USD compensation.
• Paid time off for well-being and recharge.
• Autonomy in managing time, focus on results.
• Work with top U.S. companies on high-impact projects.
• Culture prioritizing work-life balance, engagement activities, and multicultural teams across 25+ countries.