Posted on 2025/11/19
^AI Frameworks Engineer - 5885903
Accenture
Raleigh, NC, United States
Qualifications
- Minimum 10+ years of work experience
- Minimum 10+ years' experience with C, Transformer, Machine Translation, Python, Stochastic Gradient Descent, Neural Networks, DPC++, FPGA Fundamentals
- HS Diploma / GED
- Bachelor's or Associate's Degree
Benefits
- Competitive rewards
- Access to benefits programs
- World-class learning resources
Responsibilities
- Conducts design and development to build and optimize AI software
- Designs, develops, and optimizes for AI frameworks (e.g., OpenVINO) and contributes to external frameworks (e.g., TensorFlow, PyTorch)
- Implements various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in machine learning, and/or deep learning frameworks
- Transforms computational graph representation of neural network model, and develops machine learning and/or deep learning primitives in mathematical libraries
- Profiles distributed deep learning models to identify performance bottlenecks and proposes solutions across individual component teams
- Optimizes code for various computing hardware backends, and interacts with machine learning and/or deep learning researchers, utilizing experience with machine learning and/or deep learning frameworks
Full Description
About the position
Responsibilities
• Conducts design and development to build and optimize AI software.
• Designs, develops, and optimizes for AI frameworks (e.g., OpenVINO) and contributes to external frameworks (e.g., TensorFlow, PyTorch).
• Implements various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in machine learning, and/or deep learning frameworks.
• Transforms computational graph representation of neural network model, and develops machine learning and/or deep learning primitives in mathematical libraries.
• Profiles distributed deep learning models to identify performance bottlenecks and proposes solutions across individual component teams.
• Optimizes code for various computing hardware backends, and interacts with machine learning and/or deep learning researchers, utilizing experience with machine learning and/or deep learning frameworks.
Requirements
• Minimum 10+ years of work experience
• Minimum 10+ years' experience with C, Transformer, Machine Translation, Python, Stochastic Gradient Descent, Neural Networks, DPC++, FPGA Fundamentals
• HS Diploma / GED
Nice-to-haves
• Bachelor's or Associate's Degree
Benefits
• Competitive rewards
• Access to benefits programs
• World-class learning resources
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