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Staff Machine Learning Engineer
Staff Machine Learning EngineerAveris • Kuala Lumpur, Kuala Lumpur, Malaysia
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Averis • Kuala Lumpur, Kuala Lumpur, Malaysia
30+ days ago
Job description

Staff Machine Learning Engineer

Location : Federal Territory of Kuala Lumpur, Malaysia

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
  • IT System Custom Software Development and Software Development
  • #J-18808-Ljbffr

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    Staff Engineer • Kuala Lumpur, Kuala Lumpur, Malaysia

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