Senior Software Engineer (AI Infrastructure / MLOps)
Location: San Francisco (3 days per week in office)
Introduction:
We are seeking a Senior Software Engineer (AI Infrastructure / MLOps) to join a pioneering AI startup focused on enhancing data quality for machine learning. This role offers the chance to work on large-scale web applications and tackle complex challenges in a rapidly growing field. If you are experienced in building distributed systems and cloud infrastructure, this position is
designed for you.
About the Company:
Our company, founded by MIT PhDs with experience from top tech firms, specializes in developing advanced tools for data-centric AI. We address common data issues and improve the reliability of machine learning models by offering innovative solutions for data quality. Our startup operates at the cutting edge of data science and AI, and we are dedicated to transforming the way data is managed and utilized.
About the Role:
As a Senior Software Engineer (AI Infrastructure / MLOps), you will be responsible for developing and maintaining our flagship web application, which is built on sophisticated ML algorithms. You will manage cloud infrastructure for data ingestion, model training, and data analysis. This role involves building and scaling systems from the ground up, rather than working with pre-built solutions found in larger tech companies.
You will collaborate with other engineers to design and implement cloud-based solutions, addressing challenges such as model deployment and managing large datasets. Your contributions will directly impact the efficiency and effectiveness of our AI systems.
What We Can Offer You:
Key Responsibilities:
Qualifications:
Join us as a Senior Software Engineer (AI Infrastructure / MLOps) and play a crucial role in advancing our data-centric AI solutions. Apply today to help build the future of AI and data management.
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