Job Description
Key Responsibilities
- Translate
business problems into Machine Learning problems
, selecting appropriate modeling approaches and metrics. - Prepare, split, and label datasets to support robust model training and evaluation.
- Define and compute
features
from multiple data sources. - Design, execute, and evaluate
experiments
to assess model performance. - Build, deploy, and maintain Machine Learning models in production using
MLOps best practices
. - Define and monitor
model performance and drift metrics
, triggering model retraining when required. - Collaborate closely with engineering and business stakeholders to ensure scalable and reliable solutions.
Required Skills & Experience
- 2+ years of experience
building and deploying Machine Learning models in production. - Hands-on experience with
MLOps setups
, including
CI/CD pipelines
. ...
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