MLOps Engineer (Remote)
Joveo Ai · India
- Hybrid
- Full-time
- $150,000 / year
- India
Job highlights
- Build and operate ML model production infrastructure.
- Ensure reliable, repeatable model deployment and monitoring.
- Automate ML pipelines from training to production.
- Integrate ML infrastructure with CI/CD and cloud.
- Collaborate with ML engineers and data scientists.
About the role
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
Skills & topics
- MLOps Engineer
- Machine Learning
- AI
- Python
- Docker
- Kubernetes
- MLflow
- SageMaker
- Vertex AI
- Remote
How to get hired
- Tailor your resume: Highlight MLOps, ML platforms, Python, and cloud infrastructure experience.
- Showcase project experience: Detail your work building automated ML pipelines and monitoring models.
- Demonstrate collaboration: Emphasize your ability to work with ML engineers and data scientists.
- Prepare for technical questions: Be ready to discuss MLOps concepts, tooling, and best practices.
- Research Joveo's AI focus: Understand their ML-driven platform and its impact.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities of an MLOps Engineer at Joveo?
- As an MLOps Engineer at Joveo, you will be responsible for building and maintaining the infrastructure that reliably deploys and monitors machine learning models. This includes automating training and deployment workflows, designing model registries and feature stores, and integrating ML infrastructure with CI/CD systems and cloud platforms.
- What ML platforms and tools are essential for a Joveo MLOps Engineer?
- A strong candidate for the MLOps Engineer role at Joveo will have experience with ML platforms such as MLflow, Kubeflow, SageMaker, or Vertex AI. Proficiency in Python, Docker, Kubernetes, and Terraform is also crucial, along with familiarity with feature stores and model monitoring tools.
- Does Joveo offer remote work opportunities for MLOps Engineers?
- Yes, the MLOps Engineer position at Joveo is listed as a remote role, allowing you to work from anywhere. Joveo emphasizes its AI-first approach and seeks to build an inclusive workplace.
- How does Joveo use AI and Machine Learning?
- Joveo utilizes AI and Machine Learning extensively in its recruitment advertising platform. Their systems process millions of hiring decisions through ML, real-time bidding, and predictive analytics to help large employers find candidates more efficiently and fairly.
- What is the career growth potential for an MLOps Engineer at Joveo?
- While specific growth paths are not detailed, Joveo is an AI-focused company that is growing rapidly. Joining as an MLOps Engineer provides an opportunity to work on cutting-edge AI infrastructure and contribute to the core of their ML delivery pipeline, offering significant potential for skill development and advancement within the AI/ML space.