MLOps Engineer

About Joveo

Every company says they're "AI-first." We actually are. Joveo's recruitment advertising platform processes millions of hiring decisions through machine learning, real-time bidding, and predictive analytics — helping the world's largest employers find the right people, faster and fairer. But we're not done. Not even close.

Role Overview

We are hiring an MLOps Engineer to build and operate the infrastructure that takes Joveo's machine learning models from experiment to production reliably and repeatedly. You will be the backbone of our AI delivery pipeline — ensuring models are versioned, monitored, and deployed with the same rigour as our software systems.

Key Responsibilities

• Build and maintain ML pipelines from training to deployment and monitoring
• Design model registries, experiment tracking, and feature store infrastructure
• Automate model retraining, validation, and deployment workflows
• Monitor deployed models for performance drift, data skew, and prediction quality
• Collaborate with ML engineers and data scientists to streamline the path to production
• Integrate ML infrastructure with CI/CD systems and cloud platforms

Required Skills & Qualifications

• Strong experience with ML platforms — MLflow, Kubeflow, SageMaker, or Vertex AI
• Proficiency in Python and infrastructure tooling (Docker, Kubernetes, Terraform)
• Experience building automated model training and deployment pipelines
• Familiarity with feature stores (Feast, Tecton, or Hopsworks)
• Understanding of model monitoring tools and drift detection approaches
• Strong DevOps/platform engineering fundamentals applied to the ML lifecycle

Equal Opportunity Employer

Joveo is an equal opportunity employer. We are committed to building an inclusive workplace and welcome applications from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are made solely on the basis of qualifications, skills, and demonstrated ability.

If your dream job is one that doesn’t fit neatly into a job title — apply. Joveo. Where AI meets the future of work.

Key skills/competency

• MLOps Engineer
• Machine Learning Pipelines
• Model Deployment
• Model Monitoring
• ML Platforms (MLflow, Kubeflow, SageMaker, Vertex AI)
• Python
• Docker
• Kubernetes
• Terraform
• Feature Stores