TL;DR

Azure Machine Learning Engineer (Azure): Designing, developing, and deploying machine learning models to solve real-world business problems with an accent on predictive analytics and automation. Focus on building, training, and evaluating models using frameworks like TensorFlow, PyTorch, or Scikit-learn and integrating ML solutions into applications.

Location: KL, Malaysia

Company

%hirify_global% is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era.

What you will do

Design and implement machine learning algorithms for predictive analytics and automation.
Preprocess and analyze large datasets to extract meaningful insights.
Build, train, and evaluate models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Deploy models into production environments and monitor performance.
Collaborate with data engineers and software developers to integrate ML solutions into applications.
Build ML models to validate issue resolution tagging and compare transcription.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
Strong proficiency in Python (or R) and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn).
Solid understanding of algorithms, statistics, and data structures.
Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
Experience in data ingestion, transformation, and orchestration, with an understanding of data pipelines and governance.

Nice to have

Experience with NLP, computer vision, or deep learning.
Familiarity with MLOps tools and practices.
Prior experience in deploying ML models at scale.

Culture & Benefits

Work in a high caliber team that appreciates and supports one another in an energetic, collaborative, and inclusive workplace.
Join a global community with more than 300,000 associates.
Contribute to an innovative environment where you can build your career path.
Be part of a company that takes care of its people, clients, company, communities, and climate.

Hiring process

Applicants may be required to attend interviews in person or by video conference.
Candidates may be required to present their current state or government issued ID during each interview.