MLOps Engineer (AWS)

Company: DaCodes
Location: Hybrid CDMX (Work from home/remote options available)

About DaCodes:
DaCodes is a high-impact software and digital transformation firm with 10 years of experience creating technology-focused solutions. Our team of nearly 300 #DaCoders includes developers, architects, UX/UI designers, PMs, and QA testers who collaborate on projects for clients in LATAM and the United States. At DaCodes, you'll have the opportunity to drive your professional development, work on diverse projects across industries, and contribute to cloud infrastructure design, implementation, and optimization.

Your Role:
We are seeking an MLOps Engineer (AWS) to join a project focused on a demand forecasting and scheduling optimization platform operating in production on AWS. You will be responsible for ensuring the stability, reliability, and scalability of existing pipelines, actively participating in deployments, monitoring, automation, and continuous improvement of the platform. This role is oriented towards operating and maintaining Machine Learning solutions in production, rather than developing models from scratch.

What You Will Do:

• Operate and maintain the demand forecasting and scheduling optimization platform in production.
• Ensure ML pipelines run reliably on AWS, proactively identifying and resolving incidents.
• Manage model and service deployments using Docker, CI/CD, and IaC tools (SAM/CloudFormation).
• Refactor and improve existing Python code to enhance performance, maintainability, and test coverage.
• Monitor services and pipelines using CloudWatch and equivalent tools.
• Collaborate with the data science team to integrate new model versions into the production environment.
• Participate in code reviews (PRs) following Git and pytest best practices.
• Document configurations, infrastructure decisions, and operational procedures.

Technical Stack (Core Indispensable):

• Python 3.12: Solid experience with pandas, Polars, numpy, scikit-learn, XGBoost; ability to refactor existing code.
• AWS: Lambda, S3, IAM, CloudWatch, Step Functions, SageMaker, ECR.
• Docker: Build and debug images.
• CI/CD: Azure DevOps or equivalent (GitHub Actions / GitLab CI).
• IaC: Read and edit SAM / CloudFormation.
• Git + pytest: Branching, PRs, and unit testing.

Desirable (Nice to Have):

• Glue, EventBridge, MLflow.
• Multiprocessing in Python.
• OR-Tools / CP-SAT (constraint optimization) — training available.
• Snowflake, DevSecOps.

Minimum Requirements:

• 3–5 years of experience in MLOps, DevOps, or ML infrastructure roles.
• Demonstrable experience maintaining ML pipelines in production on AWS.
• Proactive profile with the ability to work autonomously.

Perks:

• Integration into global brands and disruptive startups.
• Remote work/home office options.
• Hybrid or on-site modality informed upfront if applicable.
• Adjusted work schedule based on project needs (Monday-Friday).
• Day off on your birthday.
• Major medical expenses insurance (Mexico).
• Life insurance (Mexico).
• Multicultural teams.
• Access to courses and certifications.
• Meetups with special IT guests.
• Virtual integration events and interest groups.
• English classes.
• Opportunities within our different business lines.
• Proudly certified as Great Place to Work.