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R&D Genai/Ml Engineer
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.Job Description and Requirements Seeking a highly motivated and innovative R&D GenAI/ML Engineer. The candidate would be working as part of a highly experienced ASIC mixed-signal design and verification team, targeting the current and next generation USB/PCIe/DPHY/CDPHY/MPHY/DP/HDMI products, applying AI and machine learning models and algorithms to address complex business needs. The position offers an excellent opportunity to work with a skilled team of digital and mixed signal engineers delivering high-end mixed-signal designs from specification development to performing functional and performance tests on the test-chips. Development opportunities: Be brave in the presence of the unknown Develop systematic ways to address new problems, think outside of the box Produce high quality work and products Write patents for any inventions Main duties might include: AI/ML Solution Development: Design, develop, and deploy AI and machine learning models and algorithms to solve complex business problems. Technical Leadership: Provide technical leadership and mentorship to junior engineers and data scientists, guiding them in best practices and advanced techniques. Research & Innovation: Stay up to date with the latest advancements in AI and machine learning technologies and apply them to improve existing systems or develop new solutions. Collaboration: Work closely with R&D engineers, and other stakeholders to define project requirements, create technical specifications, and ensure successful implementation of AI solutions. Data Analysis & Preprocessing: Perform data analysis, data preprocessing, and feature engineering to prepare datasets for machine learning models. Model Training & Evaluation: Train, validate, and fine-tune machine learning models, ensuring they meet performance and accuracy requirements. Deployment & Monitoring: Deploy AI models into production environments, and monitor their performance, making adjustments as necessary to maintain optimal operation. Documentation: Document AI models, algorithms, and methodologies to ensure reproducibility and knowledge sharing within the team. Compliance & Ethics: Ensure AI solutions adhere to ethical guidelines, data privacy regulations, and industry standards. Key Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, or a related field. Strong understanding and expertise in ML/AI. 3+ years of hands-on experience in AI and ML solutions. Knowledge of semiconductor manufacturing process is a plus. Scripting and programming skills: Unix Shell, Python, C++, Perl, TCL is a plus. Strong understanding of statistical analysis, data mining, and data visualization techniques. Knowledge of cloud platforms (e.G., AWS, GCP, Azure) and containerization (e.G., Docker, Kubernetes). Familiarity with version control systems (e.G., Git) and software development methodologies (e.G., Agile, Scrum)
