Nvidia Senior Responsible AI Engineer 

India, Maharashtra, Pune 

688234534

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by a great technology—and amazing people.

As the Responsible AI Toolchain Engineer, you will be a key contributor in shaping NVIDIA's contribution to ethical development of AI models and SW!

• Identify open source, 3rd party, academic or internal software tools that aim to determine, evaluate, analyze, and report on performance of an AI model or dataset along the Responsible AI vectors of non-discrimination, privacy, security, safety, transparency, explainability, and more.

• Develop clear decision criteria for evaluating Responsible AI research, methods and tools.

• Evaluate the value and capabilities of the software practices and tools against clearly defined decision criteria.

• Test identified software tools and approaches on NVIDIA's AI models, datasets and AI SW, report on relative value of each tool or method, and make recommendations whether to incorporate into NVIDIA's MLDLC.

• Contribute to open source software tool projects involved in Responsible AI.

• Make an automation proposal for an end-to-end Responsible AI toolchain, and execute to success, as measured by productivity improvement of NVIDIA’s AI model development process.

• Influence engineering teams to embrace and partner in continuous improvement of MLDLC toolchain and process for Responsible AI.

• Develop and deliver training on MLDLC Responsible AI toolchain, and partner with engineering teams to continuously improve the Responsible AI tool chain.

• Regularly communicate the program status and key issues to management.

• Bachelor's, Master's, or PhD in Computer Science, Computer Architecture, Electrical Engineering, Intelligent Systems, Machine Learning, Data Science, or a relevant field.

• 5+ years of experience in development of software, tools or automation frameworks.

• Prior experience in programming skills or knowledge in Python, C, C++,

• Experience in one or more of: PyTorch, PERL, GitHub, SHAP, MLOps systems, or projects in the space of ethical AI tools or open source projects.

• Familiarity in one or more of: Sklearn, Pandas, Numpy, Jupyter, Slurm

• Experience on AI dataset projects, including data collection, labeling, and verification.

• Experience on AI model training or inference projects.

• Any prior internship experience on tools for ensuring Responsible AI.

• Experience in Computer Vision, Hugging Face transformers, Fine Tuning LLMs and Multi-GPU Training