Principal Deep Learning Data Scientist, AI Solutions
Welcome to AMD, where we are revolutionizing the world of technology with our cutting-edge products and solutions. We are seeking a highly skilled and passionate Principal Deep Learning Data Scientist to join our team and drive our AI solutions forward. As a leader in the industry, we are constantly pushing the boundaries of what is possible and we need a talented individual to help us continue this trend. We are looking for someone who is an expert in deep learning and has a strong background in data science. If you are a forward-thinking, creative problem solver with a passion for AI and a desire to be a part of a dynamic and innovative team, then we want to hear from you. Join us and be a part of shaping the future of technology.
- Develop and implement cutting-edge deep learning algorithms and techniques for AMD's AI solutions.
- Lead the research and development efforts for deep learning projects, staying on top of the latest advancements in the field.
- Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
- Analyze and interpret large and complex datasets to identify patterns and trends to drive innovation and development.
- Design and build scalable and efficient deep learning models to meet business objectives.
- Evaluate and improve existing deep learning models to enhance performance and accuracy.
- Mentor and guide junior team members in deep learning methodologies and best practices.
- Stay updated on industry trends and advancements in deep learning and data science to continuously enhance skills and knowledge.
- Communicate complex technical concepts and findings to non-technical stakeholders.
- Drive the development and implementation of AI solutions, contributing to AMD's position as a leader in the technology industry.
Advanced Degree In Computer Science Or Related Field: A Principal Deep Learning Data Scientist At Amd Should Possess An Advanced Degree, Such As A Phd Or Master's, In Computer Science Or A Related Field To Demonstrate A Strong Foundation In Deep Learning And Ai.
Extensive Experience In Deep Learning And Ai: The Ideal Candidate Should Have A Minimum Of 7-10 Years Of Experience Working With Deep Learning And Ai Technologies, Including Hands-On Experience With Frameworks Like Tensorflow, Pytorch, And Keras.
Strong Programming Skills: A Principal Deep Learning Data Scientist Should Be Proficient In Programming Languages Such As Python, C++, Or Java, As Well As Experience With Data Manipulation And Analysis Using Tools Like Numpy, Pandas, And Scipy.
Expertise In Machine Learning Algorithms: The Candidate Should Have A Deep Understanding Of A Wide Variety Of Machine Learning Algorithms, Including Supervised And Unsupervised Learning, Reinforcement Learning, And Deep Learning Techniques Like Cnns And Rnns.
Leadership And Project Management Skills: As A Principal Deep Learning Data Scientist, The Candidate Will Be Expected To Lead And Manage A Team Of Data Scientists, Engineers, And Developers. They Should Possess Strong Communication And Leadership Skills, As Well As The Ability To Manage Projects And Deliver Results Within Tight Deadlines.
statistical analysis
Machine Learning
Deep Learning
Computer Vision
Natural language processing
Data Mining
Algorithm development
Predictive modeling
Python programming
Big Data Analytics
Neural Networks
Communication
Conflict Resolution
Leadership
Time management
creativity
Organization
Teamwork
Adaptability
Problem-Solving
Empathy
According to JobzMall, the average salary range for a Principal Deep Learning Data Scientist, AI Solutions in Santa Clara, CA, USA is $150,000 - $200,000 per year. However, this can vary depending on factors such as experience, education, and the specific company or industry the individual is working in. Some top companies in Santa Clara that may offer higher salaries for this position include Google, Apple, and Intel.
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Advanced Micro Devices, Inc. is an American multinational semiconductor company based in Santa Clara, California that develops computer processors and related technologies for business and consumer markets..
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