Location: Ho Chi Minh City, Vietnam,None,None
We are looking for an enthusiastic and motivated MLOps Intern to join our growing AI Platform team. This is a fantastic opportunity to develop your skills in modern machine learning infrastructure and DevOps practices while making a real impact on our engineering and AI development workflows.
You will help build and maintain the infrastructure and automation that power our machine learning systems. This includes working on CI/CD for ML models, containerized deployments, model monitoring, and collaboration with AI engineers to support production-grade pipelines. If you're excited about the intersection of ML and operations and want to learn in a real-world setting, this role is for you.
What you will do
- ML Pipelines and CI/CD: Assist in building and maintaining ML model training and deployment pipelines using tools like MLflow, GitLab CI, or GitHub Actions.
- Containerization and Deployment: Help containerize ML services using Docker, and support deployment via Kubernetes under guidance.
- Cloud Infrastructure for AI: Collaborate with the AI team to provision and configure cloud resources (AWS, GCP, or Azure) for experimentation and model serving.
- Monitoring and Observability: Help set up monitoring and logging for ML systems using tools like Prometheus, Grafana, and OpenTelemetry.
- Data and Model Versioning: Assist with managing datasets and models using version control tools like DVC or Weights & Biases.
- Automation and Tooling: Contribute to internal tools that streamline AGI workflows and enhance productivity across AI infrastructure, especially in support of the AGI US and XPlatform projects
What you need to have
- Currently pursuing a Bachelor's degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience.
- Strong knowledge of networking and Linux operating system fundamentals.
- Hands-on experience with Docker and Kubernetes (required).
- Exposure to one or more cloud platforms (AWS, GCP, Azure).
- Programming or scripting skills in Python, Golang, or TypeScript.
- Interest in MLOps, automation, and infrastructure for machine learning.
- Comfort using the Linux command line.
Nice-to-Have: - Personal projects or internship experience in ML infrastructure, DevOps, or platform engineering.
- Familiarity with version control (Git) and collaborative coding workflows.
- An understanding of the ML lifecycle and tools like MLflow, Airflow, or DVC.
- Interest in scaling infrastructure for AI/ML applications and working on AGI-related initiatives.
What you will get
- Strong mentorship from experienced MLOps and platform engineers.
- A welcoming environment that encourages learning and experimentation.
- Hands-on exposure to real-world ML infrastructure and DevOps tools.
- A clear growth path within the engineering team.
- Competitive salary and benefits.
About us
We are an AI Fintech company specialized in assessing credit profiles of consumers in emerging markets combining pioneering AI with large alternative data sources. In 2020 we reached our ambitious milestone of credit profiling 1 billion consumers spanning 4 countries - Vietnam, Indonesia, India & the Philippines - and building a platform for the wider industry and the financial services industry, in particular, to provide the "un & under" served access to credit. At the core of this initiative has been our strict and unwavering adherence to the norms of consumer data privacy and consumer data rights.
But we're not satisfied as we embark on the next leg of our journey to deliver 100 million credit lines to consumers in the markets where we operate. Although this goal is ambitious, we truly believe that by harnessing the power of AI & Big Data we can deliver financial access at an unprecedented scale.
As a firm, we're audacious problem-solvers motivated by our impact on society. We deeply espouse the values of ownership - of our actions and initiatives, integrity in all we do, and agility in execution.
We place great importance on doing what is right, what is best, and what is innovative. If you are smart, driven, and want to make a difference in the world with the most advance and fascinating technology, come join our team. We can satisfy your desire to explore new territory and give you the runway to really make an impact.
Additional Info
Learn more about us here:
https://www.youtube.com/watch?v=inAEDGvOcL8&t=29s