ML/AI Engineer
Role details
Job location
Tech stack
Job description
The candidate is a technical expert in Machine Learning (ML) and Artificial Intelligence (AI) tool development, ML/AI model deployment, and quality control. The candidate works within our AI engineering team to automate data analytics, identifies opportunities for ML and AI applications, develops ML/AI models, monitors the output data quality in production environments., * Develop, deploy, and test ML/AI software tools.
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Use Python, JavaScript, and C++ to create a faster, more capable AI.
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Conduct data analytics and statistical analysis, develop algorithms and automation scripts.
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Work with AMD AI engineering team to ensure seamless AI development and integration.
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Use AI analysis to make strategy recommendations that align with the team's goals.
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Stay current on AI knowledge, trends, and regulations.
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Collect, organize, and present progress with team leadership and stakeholders., AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
Requirements
The ideal candidate will have a strong understanding of machine learning, principles of statistical analysis and algorithms, as well as experience with developing and deploying ML/AI models in production., * In-depth knowledge of computer programming languages, such as Python, JavaScript, and C++.
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Deep understanding of data science, linear algebra, algorithms, and statistics.
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Experience developing and deploying machine learning.
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Practical knowledge of neural networks and data science
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Experience with PyTorch, Tensorflow and Python packages, such as NumPy
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(Plus) Experience with web development using Javascript and frameworks such Flask, Angular, ASP.Net Core, etc.
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(Plus) Experience using relational (SQL) and noSQL databases.
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Excellent problem-solving skills with the ability to thrive in a demanding, fast-paced work environment.
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Strong interpersonal and communication skills and a willingness s to collaborate with different functional teams.
ACADEMIC CREDENTIALS:
Bachelor's degree or master's degree in Computer Science, Computer Engineering, Mathematics, or related field.