ML Engineer - Dialog Axiata PLC Colombo
Posted July 30, 2024 by Dialog Axiata PLC
Closing Date : August 29, 2024
Role Responsibilities
- Ensure requirement analysis and understanding.
- Responsible for defining decision boundaries.
- Convert data science prototypes into deployable models.
- Define the pre-processing or feature engineering to be done on a given data.
- Train models, tune their hyperparameters, and define validation strategies.
- Define the inferencing and maintain connectivity with serving infrastructure.
- Develop relevant stack for deploying the model into production environment.
- Build and maintain production-level Python libraries.
- Execute best practices in version control and continuous integration/delivery through Code repository (e.g., CodeCommit, GitLab).
- Research and implement MLOps tools, frameworks, and platforms for Data Science projects.
- Research on various optimization methods and implementation.
- Implement new MLOps frameworks.
- Research and recommend new tools and technologies.
- Collaborate with Data Scientists, Engineers, and other key stakeholders.
- Work in a fast-paced cross-functional environment.
The Person
- Should possess a BSc in IT or ICT/ Computer Science/ AI / Data Science / Statistics / Software Engineering.
- Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., AWS SageMaker, Google AI Platform, Azure Machine Learning).
- A good understanding of ML and AI concepts and hands-on experience in ML model development.
- Proficiency in Python or at least one programming language and should be able to use ML and automation tasks.
- Proficiency in machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
- Experience in Agile methodologies.
- Experience in CI/CD/CT pipelines implementation.
- Experience with cloud platforms would be an added advantage.
- Minimum 1-2 years of experience in the relevant field.
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