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 levelEmployment type
Full-timeJob function
Information TechnologyIndustries
IT System Custom Software Development and Software Development#J-18808-Ljbffr