AI Model Performance Engineer
4 hours ago
Our mission at Fiddler AI is to empower organizations to build trust in their artificial intelligence (AI) solutions. As a Staff Engineer, you will play a crucial role in helping us achieve this mission.
Fiddler AI is an early-stage startup that has gained recognition as a pioneer in the field of Model Performance Management (MPM). Our team consists of experienced professionals who are passionate about unlocking the potential of AI and ensuring its transparency and ethics.
We are seeking an experienced engineer to join our team as a Staff Engineer. This role will involve designing and building a world-class cloud platform to help enterprises monitor and analyze their machine learning (ML) models. You will work closely with our product and customer-facing teams to enhance and expand our product.
In this role, you will have the opportunity to make a significant impact by helping reduce algorithmic bias and ensure that ML models in production across various industries are transparent and ethical. You will also contribute to the development of engineering best practices and help scale our enterprise engineering organization.
To succeed in this role, you will need to have a strong understanding of infrastructure management, including experience with AWS, Google Cloud, Kubernetes, or equivalent on-premises technologies. Proficiency in Python is also essential. Additionally, you should have excellent communication skills and be able to mentor and coach junior team members.
We offer a competitive salary of $250,000 per year, commensurate with experience. In addition to your salary, you will receive benefits such as comprehensive health insurance, retirement savings plan, and generous paid time off.
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Bengaluru, Karnataka, India Fiddler AI Full timeFiddler AI is a pioneer in the field of Model Performance Management (MPM), recognized as a leader in the industry.As a Cloud Architect for AI Model Performance Management, you will design and build a world-class cloud platform to help enterprises monitor and analyze their ML models. This requires expertise in infrastructure management (AWS / Google Cloud,...
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