Data Science and AI Innovation Director
4 days ago
About Our Culture
Our team culture is crucial to us; that's why we take time daily to exchange ideas and discuss our work priorities. We support each other when facing challenges and foster a strong team spirit. We aim to learn and grow continuously from one another. We value diversity, and although we're not perfect, we regularly engage in open discussions about how we can improve in this area.
The Job Description
We are seeking a highly skilled and experienced Senior AI Solutions Architect to design and implement large-scale AI systems. The ideal candidate will have extensive experience in designing and implementing large-scale AI systems and a strong technical background in machine learning, computer vision, and natural language processing.
Key Responsibilities
- Solution Architecture: Design and implement end-to-end AI solutions that meet business requirements and exceed customer expectations.
- Technical Leadership: Collaborate with cross-functional teams to ensure alignment and provide technical guidance.
- Project Delivery: Ensure timely and successful delivery of AI projects, managing scope, schedule, budget, and quality.
- Knowledge Sharing: Share knowledge and best practices with colleagues and peers to drive continuous improvement.
Requirements
- Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Experience: Minimum 8 years of experience in AI development and implementation.
- Leadership Skills: Proven leadership in driving project success in fast-paced and dynamic environments.
- AI Expertise: Strong expertise in machine learning, computer vision, and natural language processing.
What You Will Do
You will design and implement end-to-end AI solutions that meet business requirements and exceed customer expectations. You will collaborate with cross-functional teams to ensure alignment and provide technical guidance. Additionally, you will manage the delivery of AI projects, ensuring timely and successful delivery, managing scope, schedule, budget, and quality, and share knowledge and best practices with colleagues and peers to drive continuous improvement.
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