Mlops Engineer

-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?

Indicate your available start - end dates (DDMMYY - DDMMYY)

Send along links/supporting information that best showcase the relevant things you have built and done