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Senior Machine Learning Engineer
99xlinkedin.com
Nov 5, 2026, 2:16 PM3h ago
Full-timeWestern ProvinceML & AISenior (5+ yrs)
About the role
The Senior Machine Learning Engineer will be responsible for building, deploying, and operating machine learning systems in production environments. The role covers the full ML lifecycle, including data preparation, model deployment, monitoring, and improving system reliability. The position requires collaboration with data scientists and engineering teams to ensure models are easy to deploy, observe, and maintain at scale. Key responsibilities include maintaining pipelines, monitoring performance, troubleshooting issues, and contributing to ongoing improvements in ML operations. Candidates should have significant experience in ML, cloud platforms, and production engineering, with strong programming and problem-solving skills.
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
- 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
- Knowledge of Python or other programming languages 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