Software Principal Engineer
Taipei, Taiwan
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Dell Technologies
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Software Principal Engineer is a fast-paced environment where innovative thinking is prized. Our dedicated team specializes in developing and delivering AI agent-based tools for both internal and external clients. We take charge of the complete lifecycle management, from initial product conceptualization and planning to its seamless deployment and release. Additionally, we meticulously oversee enhancements, updates, and maintenance tasks across our AI product portfolio. Leveraging our expertise in programming design, we ensure a smooth and efficient process from inception to delivery, collaborating closely with other departments to address technical intricacies."
Join us as a Software Principal Engineer on our Modern AI COE team in Taiwan Design Center to do the best work of your career and make a profound social impact.
What you’ll achieve
As a Software Principal Engineer, you'll have the chance to architect cutting-edge AI tools alongside API and web design solutions, propelling the advancement of AI throughout its lifecycle. Your role involves spearheading solution development and ensuring release readiness while collecting insights into best practices across various AI product portfolios and business sectors. Furthermore, you'll collaborate closely with your team, providing mentorship and guidance in the design and development of AI products.
You may not be familiar with artificial intelligence. Still, if you possess abundant programming skills and have passion and curiosity in AI area, you may be the one who could work with us to grow together.
You will:
Successful deployment of AI-based tools and systems that significantly improve operational efficiency or customer experience.
Development of innovative algorithms or models that advance the state-of-the-art in AI technology.
Integration of AI solutions into existing workflows or platforms, enabling automation and data-driven decision-making. Collaboration on interdisciplinary projects that leverage AI techniques to solve complex problems in fields.
Leadership in guiding teams through the entire lifecycle of AI projects, from conception to deployment and maintenance. Mentoring and coaching junior engineers to foster their growth and development in the field of AI.
Contribution to open-source AI initiatives or communities, fostering collaboration and knowledge sharing within the industry. Adoption of best practices in AI development, including ethical considerations such as fairness, transparency, and accountability. Continuous learning and staying updated with the latest advancements and trends in AI research and technology.
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
6-9years of related AI and programming experience in a professional role. Solid understanding of Large Language mode, Machine Learning, Deep Learning, Generative AI, Supervised learning, data science and data engineer, Solid interpersonal and presentation skills in Artificial intelligence
Strong programming skills in languages like Python, Java, or C++, Knowledge of natural language processing (NLP) techniques and algorithms. Understanding of linguistics and language models. Knowledge of version control systems (e.g., GitHub). Experience with machine learning frameworks such as TensorFlow or PyTorch. Ability to preprocess and analyze large text datasets.
Proficiency in machine learning algorithms and techniques. Strong programming skills in Python, R, or other relevant languages. Proficiency in programming languages commonly used in AI and ML such as Python, or Java. Experience with data visualization tools like Matplotlib or Seaborn or Power BI. Familiarity with cloud computing platforms such as AWS, Azure. Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of deep learning frameworks like TensorFlow or Keras. Understanding of optimization techniques and model deployment
Advanced knowledge of machine learning algorithms and mathematical concepts. Ability to design and implement novel algorithms for specific AI applications. Understanding of optimization techniques and algorithm efficiency
Proficiency in programming languages such as Python, R, SQL.Experience with data manipulation and analysis libraries/packages (e.g., Pandas, NumPy, scikit-learn).Knowledge of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau),Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark),Expertise in data preprocessing, cleaning, and transformation,Experience with database systems and querying languages (e.g., SQL, My SQL, PostgreSQL),Knowledge of machine learning algorithms and techniques. Ability to interpret and communicate insights from data.
Desirable Requirements
Bachelor’s degree / Master’s degree, Excellent knowledge and application of engineering concepts along with effective problem-solving ability
Ability to manage, motivate, and direct a cross-functional workgroup; and drive successful negotiations.
Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Application closing date: 30 April, 2025
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure Big Data CX Data visualization Deep Learning Engineering Feature engineering Generative AI GitHub Hadoop Java Keras Linguistics Machine Learning Matplotlib Model deployment NLP NumPy Open Source Pandas PostgreSQL Power BI Python PyTorch R Research Scikit-learn Seaborn Spark SQL Tableau TensorFlow
Perks/benefits: Career development Transparency
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