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Machine Learning Operations Engineer (MLOps)

2 months, 1 week ago
Latin America
Contract
Mid Level
Machine Learning Engineer
DevOps and Infrastructure
AWS Bash CI/CD Docker GCP Git Grafana Kubernetes Prometheus Python PyTorch Terraform Vertex AI
Apply Now
CodeRoad

CodeRoad

CodeRoad is a software development company that specializes in turning ideas into reality. With a team of over 100 experts, we offer a range of services including product management, creative design, development, quality control, and project management...

Internet Software & Services
51-250
Founded 2002
View All Jobs 8

Description

  • Design and implement scalable, secure, production-grade pipelines for deploying agentic AI models.
  • Build and maintain cloud infrastructure across the full AI lifecycle on GCP or AWS.
  • Develop and maintain CI/CD and continuous training workflows for AI model delivery.
  • Implement production monitoring to track model performance, health, drift, latency, and bias.
  • Apply security, privacy, and compliance best practices across the MLOps lifecycle.
  • Work with AI researchers, data scientists, software engineers, and product teams to align delivery with project goals.
  • Establish and enforce data and model governance frameworks for AI systems.
  • Optimize agentic AI deployments for reliability, scalability, and real-time adaptability.

Requirements

  • 4+ years of experience in MLOps, DevOps, or a related field.
  • At least 1 year of experience deploying and managing AI/ML models in production.
  • Experience with agentic or autonomous AI systems is highly preferred.
  • Deep hands-on experience with Google Cloud Platform (GCP) or Amazon Web Services (AWS).
  • Experience with GCP services such as Vertex AI, Cloud Storage, BigQuery, and Cloud Functions or AWS equivalents such as SageMaker, S3, Redshift, and Lambda.
  • Strong knowledge of MLOps tools and frameworks such as PyTorch, LangGraph, CrewAI, and N8N.
  • Experience with Docker and Kubernetes.
  • Expertise in Python and familiarity with automation scripting tools such as Bash and Terraform.
  • Strong experience with Git and version control workflows.
  • Hands-on experience with monitoring tools such as Lantrace, AgentOps, Prometheus, CloudWatch, and Grafana.
  • Strong understanding of IAM, data encryption, and secure pipeline design.
  • Knowledge of ethical AI principles, including bias detection, explainability, and GDPR or similar compliance standards.
  • Strong interpersonal and communication skills for working in cross-functional teams.
  • 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 highly valued.

Benefits

  • 100% remote work.
  • Contractor position available for Latin American candidates.
  • Holidays off.
  • Paid time off.
  • Health insurance assistance program.
  • Competitive pay in USD.
  • Excellent teamwork and work environment.
  • Training opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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