ML Engineer in Sri Lanka at Dialog

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ML Engineer

Dialog

| 2024-06-11

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Ensure requirement analysis and understanding.
Responsible on defining decision boundaries.
Need to converting data science prototypes into deployable models.
Accountable to define the pre-processing or feature engineering to be done on a given data.
Need to train models, tune their hyperparameters and define validation strategies.
Responsible to define the inferencing and maintain connectivity with serving infrastructure
Require developing relevant stack for deploying the model into production environment.
Responsible to build and maintain production-level Python libraries.
Execute best practices in version control and continuous integration/delivery through Code repository (Eg: Code commit, GitLab).
Need to research and implement MLOps tools, frameworks, and platforms for Data Science projects.
Ensure research on various optimization methods and implementation.
Responsible on implementation of new MLOps frameworks.
Need to research and recommend on new tools and technologies.
Require to alliance with Data Scientists, Engineers, and other key stakeholders
Need to working in a fast-paced cross-functional environment