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CU
Machine Learning Engineer - Senior
CuSolidlinkedin.com
Nov 10, 2026, 11:23 AM7h ago
Full-timeColombo, Western ProvinceML & AISenior (5+ yrs)
About the role
The Senior Machine Learning Engineer will be responsible for deploying and operating machine learning models and services in production, supporting ML workflows, building and maintaining pipelines, monitoring performance, and troubleshooting issues. The role involves collaborating with data science and engineering teams to improve model quality and operational reliability, as well as contributing to incident investigations and ongoing improvements to ML operations. Candidates should have significant experience in machine learning, ML infrastructure, or related fields, and be comfortable with cloud platforms, monitoring tools, and programming languages such as JavaScript/TypeScript. A bachelor's degree in a relevant field is required.
Must have
- 5+ years of experience in machine learning, ML infrastructure, cloud engineering, platform engineering, SRE, or a related field
- Hands-on experience deploying or operating machine learning models in production
- Understanding of model evaluation, inference, versioning, and the ML lifecycle
- Experience with at least one major cloud platform, such as Microsoft Azure or AWS
- Experience with JavaScript/TypeScript is required
- Familiarity with cloud ML services such as Azure Machine Learning or Amazon SageMaker, or equivalent tools
- Familiarity with monitoring tools such as Azure Monitor, Amazon CloudWatch, and Datadog
- Understanding of logging, metrics, tracing, monitoring, and alerting
- Experience with containers, APIs, and deployment pipelines
- Knowledge of infrastructure-as-code tools such as Terraform or platform-specific equivalents
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Nice to have
- Knowledge of Python or other programming languages is an advantage
- Familiarity with LLM applications and their evaluation or operational requirements is an advantage
- DevOps experience, especially CI/CD, containers, cloud deployments, and infrastructure automation, is an advantage
Technologies
- A/B Testing
- AWS
- Azure
- CI/CD
- CloudWatch
- Data Science
- Datadog
- DevOps
- Infrastructure as Code
- JavaScript
- LLM
- Machine Learning
- Model Evaluation
- Python
- SageMaker
- Terraform
- TypeScript