As a Technical Staff, you will play a role of GenAI Architect to design and develop advanced artificial intelligence solutions for various Client Software Applications. This is in collaboration with cross-functional teams to understand business requirements and implement/deploy AI models and systems.
You will work with set of best brains inside Dell as well as in the industry SMEs in leading the next generation Client PCs powered with AI & its client SW products that gives World Class Customer Experience.
You will:
Closely work with product managers, data scientists, engineering teams, and other stakeholders to understand business goals and determine AI requirements.
Evaluate and select appropriate AI technologies, tools, and frameworks to achieve the set requirements.
Design and develop AI architectures and algorithms to support complex AI solutions.
Lead the development and implementation of AI models, using industry best practices in AI and machine learning.
Up to date with the latest advancements in AI technologies and identify opportunities for Client applications.
Essential Requirements
16-22 years of working as an AI architect, data scientist, or related role with strong knowledge of Machine Learning, Deep Learning, and Natural Language Processing (NLP) techniques.
Proficiency in programming languages such as Python, Java, or C++, and familiarity with popular AI libraries and frameworks (e.g., TensorFlow, PyTorch). Good understanding of cloud computing platforms (e.g., Azure, AWS) and experience deploying AI models on these platforms.
Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.
Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.
Ability to stay updated with the latest advancements in AI technologies, frameworks, and platforms.
Desirable Requirements
Bachelor's or Master's degree in Computer Science with specialization in AI, Data Sciences
Knowledge of working in Scaled Agile environments.