Machine Learning Engineer
Job Summary: We are looking for an experienced software engineer with expertise in machine
learning and artificial intelligence to join our team. The ideal candidate will have a deep
understanding of machine learning algorithms and techniques, and will be responsible for
developing and maintaining our machine learning systems.
Responsibilities:
• Build and maintain machine learning models to support our products and services
• Design, build, and maintain software systems that integrate with machine learning
models
• Collaborate with cross-functional teams to identify machine learning opportunities and
implement solutions
• Develop algorithms and implement software to support the development of new machine
learning models
• Analyze and interpret large sets of data to identify trends and patterns
• Use statistical analysis and machine learning techniques to develop predictive models
• Optimize and improve existing machine learning algorithms and models
• Implement data pipelines and ETL processes to support machine learning workflows
Requirements:
• Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or a related
field
• 3+ years of experience in software engineering
• Proficiency in coding with Python, R, and/or Java
• Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn
• Familiarity with data analysis and visualization tools such as pandas, matplotlib, or
Power BI
• Knowledge of web development technologies, such as React and Django
• Experience with cloud platforms, such as AWS or Azure
• Strong collaborator with excellent communication skills
If you are an experienced software engineer with a passion for machine learning and artificial
intelligence, then we want to hear from you. Apply today to join our dynamic team and help us
build the next generation of AI-driven products and services.
Information :
- Company : ThunderSoft
- Position : Machine Learning Engineer
- Location : Penang
- Country : MY
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Post Date : 2025-05-16 | Expired Date : 2025-06-15