EPITEC
Summary
The primary function of an Algorithm Developer is to design, develop, and implement algorithms primarily for machine learning applications. The developer will assess the effectiveness of these algorithms against requirements and ensure robust performance. Responsibilities
Develop and apply advanced methods, theories, and research techniques in machine learning algorithms Design, implement, and test machine learning models for a broad range of applications, including but not limited to classification, regression, clustering, and pattern recognition tasks Perform data engineering tasks, such as cleaning, processing, and organizing large datasets to support algorithm development and machine learning workflows Organize, track, and document machine learning experiment results, and systematically analyze these results to extract actionable insights that help guide future model development efforts Identify, troubleshoot, and resolve issues found with software related to machine learning algorithms Improve software performance and scalability in machine learning systems Skills
8-10 years of experience Strong experience in building and using advanced machine learning algorithms Proficiency in object-oriented programming languages such as C#, C++, or equivalent Experience with machine learning toolkits and platforms (e.g., TensorFlow, PyTorch, scikit-learn) Ability to organize and interpret results from machine learning experiments and translate findings into practical improvements Ability to manage projects autonomously and deliver results Education
Bachelors degree required; advanced degree (Masters or PhD) in a related field is a plus. Must Have Skills
Strong experience in building and using advanced machine learning algorithms Proficiency in object-oriented programming languages such as C#, C++, or equivalent Experience with machine learning toolkits and platforms (e.g., TensorFlow, PyTorch, scikit-learn)
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The primary function of an Algorithm Developer is to design, develop, and implement algorithms primarily for machine learning applications. The developer will assess the effectiveness of these algorithms against requirements and ensure robust performance. Responsibilities
Develop and apply advanced methods, theories, and research techniques in machine learning algorithms Design, implement, and test machine learning models for a broad range of applications, including but not limited to classification, regression, clustering, and pattern recognition tasks Perform data engineering tasks, such as cleaning, processing, and organizing large datasets to support algorithm development and machine learning workflows Organize, track, and document machine learning experiment results, and systematically analyze these results to extract actionable insights that help guide future model development efforts Identify, troubleshoot, and resolve issues found with software related to machine learning algorithms Improve software performance and scalability in machine learning systems Skills
8-10 years of experience Strong experience in building and using advanced machine learning algorithms Proficiency in object-oriented programming languages such as C#, C++, or equivalent Experience with machine learning toolkits and platforms (e.g., TensorFlow, PyTorch, scikit-learn) Ability to organize and interpret results from machine learning experiments and translate findings into practical improvements Ability to manage projects autonomously and deliver results Education
Bachelors degree required; advanced degree (Masters or PhD) in a related field is a plus. Must Have Skills
Strong experience in building and using advanced machine learning algorithms Proficiency in object-oriented programming languages such as C#, C++, or equivalent Experience with machine learning toolkits and platforms (e.g., TensorFlow, PyTorch, scikit-learn)
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