ML Engineer - Dialog Axiata PLC Colombo

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.