Staff Machine Learning Engineer

Overview

Averis – Federal Territory of Kuala Lumpur, Malaysia Staff Machine Learning Engineer

Averis – Federal Territory of Kuala Lumpur, Malaysia 5 days ago Be among the first 25 applicants Responsibilities

Lead the

design, development, and deployment

of robust and scalable machine learning models in production environments. Collaborate closely with

data scientists, engineers, and business stakeholders

to identify, define, and prioritize machine learning use cases that drive business impact. Manage the

end-to-end machine learning lifecycle , including data acquisition, preprocessing, model training, evaluation, deployment, and monitoring. Drive

model optimization, hyperparameter tuning , and A / B testing to continuously improve model performance and reliability. Provide

technical leadership and mentorship , establishing best practices in machine learning engineering, MLOps, and software development standards. Stay abreast of

emerging ML / AI trends and technologies , evaluating their potential application to business challenges. Communicate strategic, data-driven insights and influence

technical and business decision-making

at leadership levels. Skills & Qualifications

12+ years of experience in machine learning or data science roles, including

3+ years in a senior or lead capacity . Expert-level proficiency in

Python

and machine learning frameworks such as

TensorFlow, PyTorch, and scikit-learn . Proven track record of deploying and maintaining

production-grade machine learning models . Strong foundation in

supervised, unsupervised, and deep learning algorithms and techniques . Hands-on experience with

data pipelines, MLOps practices, and cloud platforms

(e.g., AWS SageMaker, GCP AI Platform, Azure ML). Solid understanding of

data engineering principles, version control systems, and CI / CD pipelines for ML workflows . Familiarity with

SQL and NoSQL databases

and large-scale data management. Excellent communication and presentation skills, capable of conveying complex technical concepts to

technical and non-technical audiences . Bonus :

Prior experience or exposure to

process manufacturing industries , such as

Pulp and Paper Manufacturing, Palm Oil Refining, or Viscose Fibre Manufacturing , is highly desirable. Education

Bachelor’s or Master’s Degree in

Computer Science ,

Machine Learning ,

Artificial Intelligence ,

Engineering , or a related field. Seniority level

Mid-Senior level Employment type

Full-time Job function

Information Technology Industries

IT System Custom Software Development and Software Development

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