Senior Machine Learning Data Infrastructure Engineer at HubSpot
3 days ago
HubSpot is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. As a key member of our MLOps Group, you will play a pivotal role in developing our machine learning data infrastructure, focusing on enhancing our capabilities in managing and utilizing data effectively.
Key Responsibilities :
- Lead and Innovate : Drive the development of our machine learning data infrastructure, focusing on enhancing our capabilities in managing and utilizing data effectively. You will lead projects to improve our current platform offering while also leading the next iteration of our ML Data platform.
- Strategic Direction : Offer strategic insights and direction to ensure our data management practices meet the evolving needs of our machine learning projects. Your expertise will guide the creation of efficient, scalable solutions that enhance our AI product offerings.
- Collaborative Problem Solving : Work closely with teams of Machine Learning Engineers and Product Software Engineers to understand their challenges and develop solutions that streamline our data processes. Your role is pivotal in bridging the gap between data management and machine learning, facilitating the efficient development and deployment of AI solutions.
- Mentorship and Leadership : Share your knowledge and experience by mentoring engineers, fostering a culture of innovation and continuous improvement, embodying our company values.
We are looking for someone who :
- Delivers hands-on high-impact projects : You have a proven track record of directly contributing to and leading large-scale, data-intensive AI/ML system projects.
- Can collaborate/influence across all levels of the organization : Your ability to work effectively across teams ensures that you can influence decisions and drive forward our data strategies.
- Bring industry best practices : Your expertise helps enhance our data infrastructure, applying best practices to improve scalability, performance, and resilience as our business grows.
- Is committed to data quality, security, and privacy : You prioritize the integrity and security of data, implementing measures that safeguard information and ensure compliance with data protection regulations.
We are committed to fostering a culture of innovation and continuous improvement. If you have a passion for machine learning operations and data engineering, and want to join our team to make a meaningful impact, we encourage you to apply.
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