8 months ago
Lima, PeruMid Level
Responsibilities
- Design and implement scalable, secure, production-grade pipelines for deploying and integrating agentic AI models.
- Build and maintain GCP or AWS cloud infrastructure across the AI lifecycle.
- Develop automated CI/CD and continuous training workflows for agentic AI models.
- Implement monitoring for model performance, health, decision-making accuracy, drift, latency, and bias.
- Integrate security, privacy, ethical AI safeguards, and regulatory compliance throughout the MLOps lifecycle.
- Collaborate with AI researchers, data scientists, software engineers, and product teams.
- Establish and enforce data and model governance frameworks covering quality, security, and compliance.
Requirements
- At least four years of experience in MLOps, DevOps, or a related field, including at least one year deploying and managing AI/ML models in production.
- At least four years of hands-on experience with Google Cloud Platform or Amazon Web Services.
- Experience with agentic or autonomous AI systems is highly preferred.
- Knowledge of Vertex AI, Cloud Storage, BigQuery, Cloud Functions, Amazon SageMaker, S3, Redshift, or Lambda.
- Strong knowledge of PyTorch, Langraph, CrewAI, and N8N, with proficiency in Docker and Kubernetes.
- Expertise in Python and familiarity with Bash and Terraform for automation.
- Strong experience with Git and version control systems.
- Hands-on experience with Lantrace, AgentOps, Prometheus, CloudWatch, or Grafana for production monitoring.
- Understanding of cloud and MLOps security principles, including IAM, data encryption, and secure pipeline design.
- Understanding of ethical AI principles such as bias detection, explainability, and regulatory compliance.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field; advanced degrees or certifications in MLOps, AI/ML, or cloud technologies are valued.
- Strong interpersonal and communication skills for cross-functional collaboration and explaining technical concepts to diverse stakeholders.
Benefits
- 100% remote work.
- Contractor position for candidates in Latin America.
- East/West Coast time-zone coverage is required.
- Holidays off.
- Paid time off.
- Health insurance assistance program.
- Training provided.
Tech Stack
Amazon RedshiftAWSBashDockerGitGoogle BigQueryGoogle Cloud PlatformGrafanaKubernetesPrometheusPythonPyTorchTerraform
Categories
About CodeRoad
CodeRoad is a privately held software services firm that delivers end-to-end development and infrastructure solutions for businesses. It offers nearshore staff augmentation, dedicated engineering teams, and general software engineering to help companies scale products and systems. The company operates on a services and consulting model, supporting clients that prefer flexible team extensions and managed delivery rather than building in-house capacity.