
AI/ML Strategy
6 days ago
Role Overview:
The Lead AI/ML Engineer is responsible for spearheading the development and implementation of AI/ML solutions, driving innovation and strategic direction for the organization.
Key Responsibilities:
- Develop AI/ML Roadmap: Collaborate with cross-functional teams to design and implement a comprehensive AI/ML roadmap, aligning with business objectives and industry trends.
- Lead AI Team: Direct and mentor a team of data engineers, MLOps engineers, and machine learning engineers to achieve project milestones and deliverables.
- Contribute to AI/ML Architecture Design: Contribute to the design and implementation of AI/ML architectures, ensuring scalability, efficiency, and robustness.
- Collaborate with Cross-Functional Teams: Collaborate with business, engineering, infrastructure, and data science teams to translate their needs into production-grade AI and ML models.
- Serve as Primary Point of Contact: Serve as a primary point of contact for stakeholders, ensuring clear communication and alignment with project goals.
Requirements:
- Bachelor's degree in engineering, computer science, or a related field.
- 12 to 15 years of total experience, with at least 2 years of experience leading/managing AI/ML projects.
- Strong understanding of AI/ML concepts and algorithms, including supervised, unsupervised, and reinforcement learning.
- Hands-on experience with Google Cloud Platform (GCP) or any public cloud platform.
- Excellent communication, presentation, and interpersonal skills.
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