- Jalan Kerinchi Kiri 3 Kuala Lumpur Federal Territory Malaysia
SNSOFT SDN BHD Hiring! Internship Artificial Intelligence-Machine Learning Engineer in Federal Territory, Earn up to MYR 1,000 - Ricebowl
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Job Description
Requirements
- Candidate must possess or currently pursue a Bachelor’s Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or equivalent.
- Basic understanding of machine learning concepts, data processing, and model training workflows.
- Familiar with programming languages such as Python, Java, or Golang.
- Exposure to machine learning frameworks or libraries such as TensorFlow, PyTorch, scikit-learn, JAX, or equivalent is an added advantage.
- Basic understanding of data processing and database concepts such as SQL, Pandas, NumPy, or similar tools.
- Strong logical thinking, analytical, and problem-solving skills.
- Willingness to learn new technologies and adapt in a fast-paced development environment.
- Good communication and teamwork skills.
- Familiarity with data visualization or analysis tools such as Matplotlib, Pandas, or NumPy is a plus.
- Basic understanding or interest in NLP, recommendation systems, computer vision, or large language models (LLMs) is an added advantage.
- Candidates with university projects, personal AI/ML projects, GitHub portfolios, Kaggle participation, or internship experience related to machine learning or data analytics will have an added advantage.
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure is a plus but not mandatory.
- Internship duration: Minimum 3 to 6 months preferred.
Responsibilities
- Assist in designing, building, and maintaining machine learning models and algorithms under the guidance of senior engineers.
- Support data collection, cleaning, preprocessing, and analysis from various data sources for model training purposes.
- Assist in training, validating, and evaluating machine learning models to improve model performance and accuracy.
- Support the deployment and integration of machine learning models into existing systems and applications.
- Monitor model performance and assist in troubleshooting or improving models when necessary.
- Work closely with cross-functional teams including software engineers, data analysts, and product teams to understand business requirements and deliver solutions.
- Participate in research and learning activities related to machine learning, artificial intelligence, and emerging technologies.
- Assist in documentation, testing, debugging, and optimization of AI/ML related systems and workflows.
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