Engineer - MLOps
About the role
The MLOps Engineer role at ORYSYS involves streamlining the transition of machine learning models from development to production, ensuring that model lifecycles are automated, monitored, and scalable within the company's AI ecosystem. Key responsibilities include deploying and managing production-ready ML models, implementing automated CI/CD pipelines, setting up monitoring systems, collaborating with AI teams, maintaining engineering standards, and supporting AI infrastructure. The position requires a relevant bachelor's degree, hands-on experience in MLOps or related roles, and proficiency in tools and platforms such as MLflow, Kubeflow, Python, GCP, Docker, and Kubernetes. The role is suited for candidates with strong analytical skills and attention to detail, particularly in model lineage and performance monitoring.
Must have
- Bachelor’s degree in Computer Science, IT, or a related discipline.
- 2+ years in a hands-on MLOps, ML Engineering, or DevOps role.
- Previous roles: MLOps Engineer, Associate ML Engineer, or DevOps Engineer.
- MLflow, Kubeflow, DVC, or Vertex AI.
- BentoML, TFServing, or TorchServe.
- Python (Strong proficiency).
- GCP.
- Docker, Kubernetes, Terraform, and GitHub Actions.
- Ability to fit into the Combank organization & IT culture.
- Excellent attention to detail and analytical skills, specifically regarding model lineage and performance monitoring.
Nice to have
- Experience or strong interest in the finance domain is highly desirable.
Technologies
- BentoML
- CI/CD
- DevOps
- Docker
- GCP
- GitHub
- GitHub Actions
- Kubeflow
- Kubernetes
- Machine Learning
- MLflow
- MLOps
- Python
- Terraform
- Vertex AI
Highlights
Applications should be sent to careers@orysys.com. The company values the ability to fit into the Combank organization and IT culture. Experience or strong interest in the finance domain is highly desirable.
Jobs across Sri Lanka, watched for you.Colombo, Sri Lanka