Aquent
Technical Project Manager [AQ-17785]
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Aquent, a trusted partner in connecting top talent with leading organizations, is excited to offer an exceptional opportunity to join a pioneering team at the forefront of artificial intelligence research. This is your chance to make a profound impact, shaping the future of AI technologies that will interact with and understand our world in groundbreaking ways. You will be a pivotal force, enabling ambitious research programs to thrive and translating cutting-edge innovations into tangible progress.
This is a 12-month, hybrid contract; the shortlisted candidates will be contacted by Tuesday the 15th at 12 PM. The rate is negotiable.
About The Role
Are you ready to dive into the heart of fundamental AI research and drive projects that redefine what’s possible? We are seeking a dynamic Project Manager to become an indispensable member of a multi-disciplinary research group. In this role, you won’t just manage tasks; you’ll be the catalyst for success, ensuring that our world-class researchers have everything they need to push the boundaries of AI. You’ll build vital relationships across research, engineering, product, legal, and policy teams, serving as a reliable point of contact and ensuring all program needs are met. Your ability to eliminate barriers, clearly communicate progress, and keep the big picture in focus while managing intricate details will be key to your success and the team’s achievements. This is an incredible opportunity to contribute directly to advancements that will shape the future of technology.
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What You’ll Do
- Collaborate closely with researchers and cross-functional partners, effectively communicating research plans, progress, and results to a diverse audience.
- Drive projects forward by ensuring tasks are prioritized, completed on time, and providing transparent status updates including metrics, risks, and mitigation strategies to all stakeholders.
- Translate strategic visions into structured, actionable plans, leveraging established formats and contributing to team alignment by connecting project goals to broader organizational objectives.
- Execute defined project scopes with precision, focusing on key objectives, managing interdependencies, proactively addressing risks, and providing comprehensive reporting.
- Analyze data efficiently, translating insights into actionable recommendations and influencing decisions to implement positive changes within the team.
- Foster clear, timely, and collaborative communication across all levels and functions of the organization.
What You’ll Bring
Required Skills & Experience
- Hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence.
- A Bachelor's and/or Master’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- A proven track record of operating independently, demonstrating meticulous attention to detail, and consistently delivering results in a highly organized manner.
- Experience in building and nurturing relationships with diverse stakeholders across various cross-functional teams.
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Preferred Skills
- Direct experience in generative AI and Large Language Model (LLM) research.
- Experience managing projects with remote or distributed teams.
Client Description
Our Client is the largest social media company in the world. They have substantial B2B and B2C advertising and media platforms, as well as a nonprofit initiative. With the mission of bringing people together, they now boast over 2 billion users, and are rapidly developing as they influence the world around us.
Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.
Other Requirements
This is a 12-month, hybrid contract; the shortlisted candidates will be contacted by Tuesday the 15th at 12 PM. The rate is negotiable.
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