
Senior AI and Machine Learning Executive
12 hours ago
Senior AI and Machine Learning Executive
">We are seeking an experienced Senior AI and Machine Learning Executive to lead our organization's strategic direction in artificial intelligence and machine learning. This key role will oversee the development and implementation of AI strategies, ensuring alignment with business objectives and growth targets.
">About this Role:
">- Strategic Leadership: Develop and execute the overall AI strategy and roadmap, identifying opportunities for innovation and growth.">
- Project Oversight: Manage the end-to-end lifecycle of AI projects, from ideation and design to implementation and performance analysis.">
- Team Leadership: Lead and manage a high-performance team of AI engineers, data scientists, and researchers, fostering a culture of continuous learning and improvement.">
- Cross-Functional Collaboration: Work closely with engineering, data analytics, product, and business units to implement AI solutions at scale.">
Required Skills and Qualifications:
">- Experience: Minimum 20 years IT industry experience with 10+ years in AI/technology and 5+ years in a leadership or management role.">
- P&L Management: Proven experience in managing P&L for technology or AI-driven products/services.">
- Technical Expertise: Strong proficiency in AI technologies, including Machine Learning, Deep Learning, NLP, and Computer Vision.">
- Financial Acumen: Solid understanding of commercial and financial aspects of AI projects, including cost management and ROI measurement.">
- Leadership Skills: Demonstrated experience in building, motivating, and managing high-performing teams.">
Benefits:
">- Professional Growth: Opportunities for career advancement and professional growth in a dynamic and innovative organization.">
- Collaborative Environment: Collaborate with a talented team of professionals who share your passion for AI and machine learning.">
- Autonomy: Work independently with minimal supervision, taking ownership of projects and initiatives.">
- Competitive Compensation: Attractive salary and benefits package.">
Preferred Qualifications:
">- Educational Background: Bachelor's or master's degree in computer science, Engineering, or a related field.">
- Industry Experience: Experience in industries such as automotive, healthcare, or retail, where AI-driven personalization and predictive analytics redefine customer experiences and profitability.">
- MLOps Knowledge: Familiarity with MLOps methodologies to streamline the process of moving data-heavy applications from development to robust production deployments.">
- Cloud Platforms: Experience with cloud platforms and their integration with AI/ML tools.">
AI and Machine Learning Expertise:
">- Awareness: Stay up-to-date with the latest advancements in AI and machine learning, applying this knowledge to drive innovation and growth.">
- Innovation: Identify opportunities for AI innovations that drive growth and operational efficiency.">
Communication and Presentation:
">- Presentation Skills: Excellent ability to present complex AI concepts to non-technical stakeholders.">
- Interpersonal Skills: Strong interpersonal skills, able to build relationships with diverse stakeholders, including executives, customers, and partners.">
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