Job Description

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. Excellent problem-solving and communication skills. 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. Stay updated with the latest advancements in AI/ML technologies and tools. Build ML models to validate issue resolution tagging. Compare transcription of issue raised vs closure remark vs actual root cause. Provide % accuracy of correctly tagged resolutions. Experience in data ingestion, transformation, and orchestration. Understanding of data pipelines and governance. Ability to prepare large datasets for BI and ML consumption.
Job Type: Contract
Contract length: 12 months

Pay: RM11,000.00 - RM14,000.00 per month

Benefits:

Health insurance Opportunities for promotion * Professional development