Employment Information
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Description and Requirements
We are looking for a skilled AI Data Scientist to support Intel projects focused on optimizing AI and machine learning workloads on Intel hardware. In this role, you will leverage OpenVINO and Intel software optimization techniques to enhance the performance of AI models. You will also collaborate with technical writers to create content on accelerating traditional ML algorithms on Intel hardware and migrating algorithms from CUDA to SYCL.
Key Responsibilities:
- Utilize OpenVINO and Intel software optimization techniques to optimize AI and ML workloads on Intel hardware
- Conduct use and testing of OpenVINO for AI and ML tasks
- Collaborate with technical writers to create content on accelerating traditional ML algorithms on Intel hardware
- Coordinate with technical writers to develop content on migrating algorithms from CUDA to SYCL
- Benchmark AI performance using MLPerf on Intel hardware
- Analyze and interpret complex data to derive actionable insights
- Communicate findings and recommendations to technical and non-technical stakeholders
- Expert support on customer engagements
Requirements:
Basic Qualifications:
- Bachelor's degree in Computer Science, Data Science, or similar
- At least 3 years experience in AI, machine learning, and data analysis
- At least 1 years experience with TensorFlow, scikit-learn, and PyTorch
- At least 1 year experience with data visualization tools
Preferred Qualifications:
- Master's degree in Computer Science, Data Science, or Similar
- Proficiency in OpenVINO and Intel software optimization techniques
- Knowledge of CUDA and SYCL programming models
- Knowledge in traditional ML algorithms and their acceleration on Intel hardware
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.