Machine Learning Engineer: Build Production ML & MLOps

Gen Digital Inc.; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Gen Digital Inc. in Kuala Lumpur is seeking a Machine Learning Engineer to build and maintain production ML systems. You will frame business problems, prototype ML methods, and lead automation of ML workflows in a fast-paced environment.

You will collaborate with Data Scientists and MLOps Engineers to ensure robust model governance and deployment practices, using Python, SQL and popular ML libraries. This role offers a dynamic tech culture with growth opportunities.

Qualifications

• Strong mathematical, statistical or actuarial background.
• Proficient in Python and SQL with solid software engineering skills.
• Hands-on experience in machine learning, predictive analytics and statistical modelling.
• Experience developing and deploying machine learning models in production.

Responsibilities

• Frame and contextualize machine learning problems.
• Research, build and design ML systems and models to solve business problems.
• Assess and analyse data to select datasets for modelling and testing.
• Prototype and implement ML algorithms and tools to improve products.
• Design, execute and monitor ML model experiments and metrics.
• Perform statistical analysis to evaluate modelling improvements.
• Automate and orchestrate ML processes and pipelines.
• Monitor and maintain ML solutions in production.
• Enrich libraries and frameworks to empower model development.
• Collaborate with MLOps Engineers and Data Scientists to improve designs.
• Enforce test-driven development and best practices to reduce technical debt.

Skills

Math/Stats background

Programming & software engineering

ML in production

Problem solving

Communication skills

Tools

Python

SQL

scikit-learn

XGBoost

LightGBM

DVC

MLFlow

Metaflow

Seldon

BentoML

AWS

Docker

Kubernetes

Job description

Gen Digital Inc. in Kuala Lumpur is seeking a Machine Learning Engineer to build and maintain production ML systems. You will frame business problems, prototype ML methods, and lead automation of ML workflows in a fast-paced environment.

You will collaborate with Data Scientists and MLOps Engineers to ensure robust model governance and deployment practices, using Python, SQL and popular ML libraries. This role offers a dynamic tech culture with growth opportunities.