- Singapore
BetterData Pte Ltd Hiring! MLOps Engineer (Entry-level - Intern) in - Ricebowl
MLOps Engineer (Entry-level - Intern)
BetterData Pte Ltd
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Working Location
Job Description
Responsibilities
Job Posted
Empty
Location
Full time
Remote
Internship
Who are we looking for:
Suitable for recent grads, bootcamp completers or final-year semester with project experience. We currently do not support interns who are not graduating immediate after as this is meant to be a full time role.
We’re looking for a motivated and fast-learning MLOps Entry Level / Final Semester Intern to support our engineering team. If you have hands-on familiarity with core DevOps and MLOps tools and are eager to learn and grow, this is a great opportunity to gain real-world experience in modern ML infrastructure.
Key Responsibilities:
Deploy and manage Kubernetes clusters and Docker containers for ML workloads
Build and maintain automation using Jenkins, Argo Workflows, Argo Events, and Argo CD
Write Bash and Python scripts to automate infrastructure and ML pipelines
Work across cloud platforms (AWS, Azure, GCP) to configure and manage cloud-native components like: Kubernetes (AKs, EKS, GKE) Storage (e.g., S3, Blob, GCS) Compute (e.g., EC2, Azure VMs, GCE) Networking (e.g., VPC, Load Balancers) IAM and Secrets Management
Monitor and troubleshoot infrastructure for ML pipelines
Collaborate with the MLOps lead to explore and integrate new tools and practices
Essential Skills and Qualifications:
High priority Working knowledge of:
Bash scripting
Docker & Kubernetes
Jenkins or similar CI/CD tools (e.g:Github actions)
Python scripting
One or more cloud platforms (AWS, Azure, GCP)
Basic networking concepts
Interest or experience in the Argo ecosystem (Workflows, Events, CD)
Exposure to MLOps tools like MLflow, Airflow etc
Experience deploying ML models or pipelines in cloud/on-premise air gapped environments
Good to have
Degree in Computer Science, Machine Learning, or related field.
Exceptional analytical and problem-solving skills.
Fast learner with a proactive mindset and eagerness to grow
Clear communicator and effective collaborator
Why Join Us:
Join a team poised to make significant impacts in the synthetic data technology space, where your contributions will shape the future of the field. Real-world exposure to MLOps challenges and solutions.
Our start-up environment offers the excitement of innovation and problem-solving, competitive compensation, opportunity to be converted and the chance to challenge and expand your skills at the intersection of data privacy and utility.
How to apply
Does this role sound like a good fit to you?
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