3 Days Left AI Tech Lead Manager
6 days ago
As the AI Tech Lead Manager, you will act as a principal investigator, bridging advanced AI research with real-world applications. This role is ideal for someone passionate about cutting-edge AI technologies and eager to take on a leadership position while remaining hands-on. You will lead a team of talented engineers and researchers, tackling complex problems and driving innovation in customer feedback analysis.
Requirements
Key Responsibilities
1. Lead Advanced AI Research and Innovation
- Serve as the go-to expert for solving challenging technical problems.
- Conduct in-depth research to develop innovative AI solutions.
- Run Proof-of-Concept (PoC) projects to explore new technologies and validate approaches.
- Optimize and manage model deployment costs.
2. Collaborate with Cross-Functional Teams
- Work closely with product and engineering teams to align AI initiatives with business goals.
- Translate complex product requirements into clear technical tasks.
- Ensure smooth integration of AI solutions into existing systems.
- Oversee timely project delivery.
3. Mentor and Guide the AI Team
- Break down complex challenges into actionable tasks for team members.
- Mentor and guide engineers, fostering a culture of excellence and learning.
- Encourage autonomy, minimizing the need for micromanagement.
4. Drive Rapid Experimentation and Iteration
- Establish agile processes to enable quick iterations and experimentation.
- Foster a culture of innovation where ideas are tested, refined, and improved rapidly.
5. Champion Customer-Centric Solutions
- Instill a customer-first mindset in AI initiatives.
- Work with customer success teams to understand user needs and tailor AI solutions accordingly.
About You
Research Expertise – Strong AI research background with experience in applying advanced techniques to real-world problems. Experience handling an annotation team is a plus.
Leadership Ambition – Ready to take on a leadership role while continuing hands-on AI research and development.
Problem Solver – Ability to tackle complex AI challenges and develop innovative solutions.
Collaborative Mindset – Excellent communication skills, a humble attitude, and the ability to work cross-functionally.
Startup Experience – Thrives in fast-paced, dynamic environments, preferably with early-stage startup exposure.
LLM Expertise – Proven experience in building and deploying Large Language Model (LLM)-powered applications.
Customer-Centric Approach – Deep commitment to understanding and addressing customer needs through AI-driven solutions.
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