**Mid-Level Cloud & ML Infrastructure Engineer**
**Location**: Remote or Hybrid
**Experience**: 3-5 years
About the Role
Are you passionate about building cloud infrastructure that powers machine learning and AI innovation? We are looking for a **Mid-Level Cloud & ML Infrastructure Engineer** with hands-on experience in **AWS** to design, deploy, and optimize scalable systems that support ML workflows and backend services.
In this role, you’ll collaborate with **ML Engineers and DevOps teams** to streamline automation, deployment, and monitoring across the full lifecycle of machine learning models—from training to production. This is a great opportunity to work on cutting-edge projects at the intersection of **cloud and AI**.
What You’ll Do
- Design, deploy, and maintain AWS infrastructure for ML training, validation, and inference pipelines.
- Build and manage **CI/CD pipelines** to automate ML model packaging, deployment, and updates.
- Monitor performance and observability with **Amazon CloudWatch**.
- Deploy and manage services such as **Amazon S3, RDS, and DynamoDB** for scalable, data-driven solutions.
- Implement **Infrastructure-as-Code (IaC)** using AWS CDK.
- Collaborate with Data Scientists to deploy ML models into staging and production environments.
- Assist in **cost optimization** and efficient resource allocation across AWS compute and storage.
What We’re Looking For
- 3+ years of experience managing AWS services (S3, Lambda, API Gateway,



IAM, DynamoDB, CloudWatch).
- Proven experience building and monitoring **ML pipelines** in cloud environments.
- Strong knowledge of **RESTful API development, CI/CD, and infrastructure automation**.
- Solid understanding of relational databases (PostgreSQL/MySQL) and NoSQL (DynamoDB).
- Proficiency in **Python** (or a similar language) for scripting, automation, and orchestration.
Nice to Have
- Exposure to robotic CI/CD pipelines and OTA updates with **AWS IoT Core or Greengrass**.
- Experience managing **multi-environment lifecycles** (dev/staging/prod).
- Knowledge of **Linux internals, automated patching, and compliance tools**.
- Familiarity with frontend hosting on **AWS Amplify, S3, and CloudFront**.
- Experience monitoring **distributed fleets or embedded systems** in production.
- Knowledge of **ROS 2** or robotic development environments (navigation, sensors, bag files, etc.).
Why Join Us?
- Be part of **high-impact projects** combining Cloud, ML, and AI.
- Work with a **collaborative, global-minded team**.
- Flexibility with **remote or hybrid options**.
- Grow your career with exposure to **cutting-edge AWS and ML technologies**.
Ready to take your next step?
Tipo de puesto: Jornada completa
Sueldo: $45,000.00 - $85,000.00 al mes
Idioma:
- Inglés (Obligatorio)
Lugar de trabajo: remoto híbrido en 44600, Ladrón de Guevara, Jal.

📌 Mid-level Cloud & Ml Infrastructure Engineer (Ladron De Guevara)
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📍 Ladron De Guevara