ML Engineer | MLOps, Pipelines & AWS

Averis Sdn Bhd; Kuala Lumpur; In loco; MYR 120.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical benefits

Dental benefits

Optical benefits

Overseas postings

Learning and development

Rewards and recognition awards

Recreational & employee engagement

Job rotations

Professional memberships

Descrizione del lavoro

Averis Sdn Bhd is seeking a skilled ML Engineer / MLOps professional to design and maintain reproducible ML pipelines across CV and GenAI use cases. You will transform notebook workflows into robust, testable components and standardize end-to-end training, evaluation, and monitoring processes.

Join a cross-functional team in Kuala Lumpur, focusing on scalable ML infrastructure on AWS with SageMaker, S3, and ECR, while ensuring collaboration with data scientists and engineers to deliver reliable

Competenze

• 3+ years of experience in machine learning engineering and MLOps.
• Strong Python programming skills, with experience building maintainable ML/data pipelines.
• Hands-on experience with AWS services such as SageMaker, S3, ECR, or equivalent cloud ML infrastructure.
• Experience with Docker and CI/CD workflows for ML or data applications.
• Familiarity with experiment tracking, model versioning, and reproducible ML workflows.
• Good understanding of model training, evaluation and validation workflows.

Mansioni

• Build and maintain reproducible ML pipelines for Computer Vision and GenAI use cases.
• Convert notebook-based or ad hoc workflows into version-controlled, testable, and maintainable pipeline components.
• Standardize training, evaluation, and monitoring workflows across projects.
• Improve data validation, artifact management, and handoff between data preparation, model inference, and downstream delivery.
• Collaborate with data scientists, algorithm engineers, platform engineers, and business stakeholders to improve operational delivery.

Conoscenze

Python

ML engineering

MLOps

Data pipelines

Experiment tracking

Communication

Strumenti

Docker

CI/CD

AWS SageMaker

S3

ECR

Databricks

Descrizione del lavoro

Averis Sdn Bhd is seeking a skilled ML Engineer / MLOps professional to design and maintain reproducible ML pipelines across CV and GenAI use cases. You will transform notebook workflows into robust, testable components and standardize end-to-end training, evaluation, and monitoring processes.

Join a cross-functional team in Kuala Lumpur, focusing on scalable ML infrastructure on AWS with SageMaker, S3, and ECR, while ensuring collaboration with data scientists and engineers to deliver reliable