Senior ML and DevOps Engineer – Advertising

Truelogic Software

full-time

Posted on: 9/28/2025

Location Type: Remote

Location: Remote • 🇲🇽 Mexico

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Senior

AWSAzureCloudDockerETLGoogle Cloud PlatformGrafanaPrometheusPythonTerraform

About the role

Design and implement end-to-end MLOps pipelines for training, deployment, and inference.
Build and maintain Python-based APIs (FastAPI) to support ML workflows and data ingestion.
Configure and manage cloud infrastructure (AWS, GCP, Azure) to support AI/ML workloads.
Automate deployment, scaling, and monitoring of models using Docker and CI/CD pipelines.
Implement observability, logging, and alerting with tools like CloudWatch, Prometheus, Grafana, and GCP logging.
Collaborate with cross-functional teams to define requirements and deliver scalable MLOps solutions.
Optimize model performance and system reliability while troubleshooting production issues.
Apply infrastructure-as-code practices (Terraform) for reproducible and maintainable deployments.
Stay ahead of industry best practices in MLOps, cloud-native engineering, and AI/ML integration.

Proven experience designing and implementing end-to-end MLOps pipelines for model training and inference.
Advanced Python expertise, including multithreading, async/await, multiprocessing, and parallelism.
Experience building and deploying APIs with FastAPI for data ingestion and ML workflows.
Strong background in data cleaning, transformation, and ETL processes using Python.
Hands-on experience with Terraform (including production usage and state file management).
Expertise in Docker, including container packaging and entry point customization.
Experience monitoring and troubleshooting production ML models with S3, GCP logging, CloudWatch, Prometheus, or Grafana.
Proficiency with CI/CD pipelines (preferably GitHub Actions).

Benefits

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD.
Paid Time Off
Work with Autonomy: Freedom to manage your time as long as the work gets done.
Work with Top American Companies: Grow your expertise working on innovative U.S. companies.
A Culture That Values You: Prioritize well-being and work-life balance with engagement activities.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries.
Team Up with Skilled Professionals: Collaborate with senior, experienced talent.

Tip: use these terms in your resume and cover letter to boost ATS matches.

MLOpsPythonFastAPIAWSGCPAzureDockerTerraformCI/CDETL

collaborationtroubleshootingproblem-solvingcommunicationscalability