Innovation and Technology
Machine Learning Engineer
Description of Tasks
Machine Learning Engineer's duties include data preparation, model development, training, evaluation, deployment, monitoring, maintenance, collaboration, and staying updated with research. They create and optimise machine learning models for real-world applications, ensuring accuracy and efficiency in solving complex problems.
Expertise in Programming Languages
Machine Learning Engineers require expertise in programming languages such as Python, proficiency in machine learning frameworks and libraries, strong statistical analysis skills, knowledge of data preprocessing and feature engineering techniques, and familiarity with cloud platforms and deployment tools.
Minimum Requirements
- A bachelor's or master's degree in computer science, data science, or a related field
- Professional certifications such as TensorFlow Developer Certificate, Microsoft Certified: Azure AI Engineer Associate, AWS Certified Machine Learning - Specialty, Google Cloud Certified - Professional Data Engineer, and NVIDIA Deep Learning Institute Certifications; Strong programming skills in languages like Python, familiarity with machine learning frameworks
- 3 - 5 years of experience working on machine learning projects
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