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!

ML Engineer - AI Ethics and Responsible AI

About the Company 

Quantiphi is an award-winning AI-first digital engineering company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. 

Quantiphi has seen 2.5x growth YoY since its inception in 2013 to 3500+ team members globally. 

For more details, please visit our website or LinkedIn page. 

About the Applied Research Unit 

Applied-Research is an R&D practice at Quantiphi, focused on unraveling the frontiers of Al technologies with Applied ML at its core. With a multifaceted R&D strategy, we tackle ideating and building innovative solutions to cutting edge challenges, with advanced prototyping and scalable proofs of concept. Strengthened by the strategic partnerships working towards a generalized goal, we strive to leverage and demonstrate the major advances in Al to understand and transform the way humans collaborate with Al-systems in the near future. 

Job Description: Machine Learning Engineer – Responsible AI Focus

About the Role:

We are seeking an enthusiastic and motivated Machine Learning Engineer to join our dynamic team, focusing on Responsible AI. This role is tailored for individuals at the early stages of their careers who are keen on merging AI technology with ethical practices. The candidate will work in an R&D environment, working under the guidance of experienced professionals to explore and develop ethical, transparent, and fair AI systems through rigorous research and responsible AI techniques.

Responsibilities:

• Assist in 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.

• Conduct research and experiments to refine Responsible AI applications in our initiatives.

• 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. 

• Participation in AI-related projects or hackathons with a focus on ethical considerations.