
Leading AI Development Manager
1 day ago
We are seeking a seasoned AI Development Manager to lead and mentor a team of AI Engineers and Data Scientists. The ideal candidate will be a technical leader who can drive the entire AI development lifecycle, from ideation and architecture to deployment and monitoring.
This role requires a strong blend of technical acumen, project management skills, and a passion for developing and growing people.
Responsibilities include leading the design, architecture, and development of scalable, high-performance AI/ML solutions, driving the team's technical strategy and roadmap, and ensuring alignment with overall business goals and product vision.
The selected candidate will also act as a hands-on subject matter expert, providing technical guidance, conducting code reviews, and ensuring the quality and robustness of AI models and applications.
Key Responsibilities:- Leadership & Strategy:
- Lead the design, architecture, and development of scalable, high-performance AI/ML solutions.
- Drive the team's technical strategy and roadmap, ensuring alignment with overall business goals and product vision.
- Act as a hands-on subject matter expert, providing technical guidance, conducting code reviews, and ensuring the quality and robustness of AI models and applications.
The ideal candidate will also have a strong understanding of cloud platforms (AWS, Azure, or GCP) for AI/ML development, demonstrated ability to lead, motivate, and mentor a high-performing technical team, excellent problem-solving, decision-making, and organizational skills, and strong interpersonal and communication skills, with the ability to build consensus and collaborate effectively across teams.
Required Qualifications- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 7+ years of experience in AI/ML roles, with at least 2-3 years in a technical leadership, team lead, or management position.
- Deep expertise in Python and a strong command of machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).
- Proven experience with the full AI development lifecycle, including data engineering, model development, and production deployment.
- Hands-on experience with MLOps principles and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).
- Strong understanding of cloud platforms (AWS, Azure, or GCP) for AI/ML development.
- Demonstrated ability to lead, motivate, and mentor a high-performing technical team.
- Excellent problem-solving, decision-making, and organizational skills.
- Strong interpersonal and communication skills, with the ability to build consensus and collaborate effectively across teams.
- Opportunity to lead a team of experienced AI professionals.
- Chance to work on cutting-edge AI projects and technologies.
- Collaborative and innovative work environment.
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