Associate Architect
1 week ago
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you
- you would enjoy your career with Quantiphi
**Responsibilities**:
- Work on the development and implementation of AI systems, ensuring they adhere to ethical principles and Responsible AI guidelines.- Collaborate with cross-functional teams to integrate Responsible AI practices into various projects and business offerings.-
- Assist in creating educational programs to enhance organizational commitment to Responsible AI.- Keep updated with the latest trends in Responsible AI and Machine Learning, contributing to the team’s continuous learning
**Requirements**:
- Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field.- Good understanding of machine learning concepts and the respective underlying mathematical know-how.- Basic development skills in areas like NLP, NLU, LLMs, and Computer Vision, etc.- Passion for AI ethics, actively updating their knowledge with the advancements in Responsible AI principles, aiming for ethical AI development and deployment.- Familiarity with data analysis, AI ethics, Responsible AI Principles, and Best Practices, for implementing techniques adhering to the high standards of ethical AI development.- Ability to translate abstract highlights into understandable insights in multiple knowledge-dissemination formats like blogs, presentations, paper publications, tutorials, and webinars- Strong analytical and problem-solving skills.- Effective communication and teamwork abilities.
Good to have:
- Exposure to AI ethics and Responsible AI concepts through coursework, projects, or internships.- Experience with Responsible AI frameworks and techniques (e.g., Fairness Indicators, What-if tools, Learning Interpretability Tool (LIT), LIME, SHAP, etc.).- Knowledge of cloud environments like GCP/AWS, PyTorch, Tensorflow, and HuggingFace.
- If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us__
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