
AI/ML Agent Leader
2 days ago
Job Summary
We are seeking a seasoned AI/ML leader to drive innovation and excellence in our organization.
Key Responsibilities:- Pioneer and guide the development of multi-agent AI/ML systems that enhance automation, decision-making, and system efficiency.
- Create and implement strategic frameworks that enable scalable and robust agentic solutions.
- Collaborate with cross-functional teams to integrate agent-based solutions into our enterprise platforms, aligning AI strategies with business objectives.
- Stay at the forefront of AI/ML advancements, exploring and implementing new methodologies such as reinforcement learning, active learning, and RLHF to drive continuous improvement.
Required Skills and Qualifications:
To succeed in this role, you will need:
- A master's degree or equivalent in AI, machine learning, or data science, with 8-10 years of experience OR a bachelor's degree with 10-14 years of experience OR a diploma with 14-18 years of experience.
- Proven expertise in designing and implementing AI/ML systems with multiple interacting agents.
- Demonstrated experience in reinforcement learning, active learning, and RLHF methodologies.
- Strong background in authoring and managing highly complex technical documentation at an enterprise level.
- Extensive experience in AI/ML system design, with a focus on multi-agent interactions and agentic design.
- Deep familiarity with agent-based modeling tools and frameworks.
Benefits and Growth Opportunities:
We offer a dynamic work environment that fosters growth and development. As an AI/ML leader, you will have the opportunity to:
- Develop and implement long-term AI strategies that align with business needs.
- Partner with leadership, product teams, and other collaborators to identify AI opportunities and streamline implementations.
- Maintain detailed documentation for long-term scalability.
Soft Skills:
- Leadership & Vision: Ability to inspire and guide teams toward achieving AI/ML innovation and excellence.
- Strategic Thinking: Capable of developing and implementing long-term AI strategies that align with business needs.
- Collaboration: Proven experience working across different teams and subject areas to drive AI/ML integration.
- Communication: Ability to convey complex AI/ML concepts to both technical and non-technical collaborators.
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