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IBM Principal Data Science AI Solution Architect United States, North Carolina, Durham 537259965
08.05.2024
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Your Role and Responsibilities
Key Responsibilities:
• Advanced AI Solutions Development: Design and deploy innovative AI solutions to address complex business issues. Utilize a deep understanding of neural networks, natural language processing (NLP), and predictive analytics to significantly enhance business intelligence and support data-driven decision making.
• Leadership in Technology Integration: Drive initiatives that integrate state-of-the-art technologies into varied business processes to boost operational efficiency and enhance the customer experience. Ensure these technologies align with strategic business goals and deliver tangible, measurable improvements.
• Strategic Project Management: Utilize a proven track record in leading diverse teams and managing complex, multi-disciplinary projects. Apply extensive knowledge gained from senior data science roles to effectively manage and inspire cross-functional teams.
• Innovative Research and Development: Lead pioneering research in artificial intelligence, drawing on expertise from a Ph.D. in Data Science. Continuously push the boundaries of technology to maintain leadership in the field and contribute to the advancement of industry knowledge.
• Stakeholder Engagement and Solution Delivery: Effectively communicate and engage with stakeholders at all levels, from technical teams to executive leadership. Translate complex technical details into clear, strategic insights during customer engagements and high-level presentations.
• Mentorship and Team Development: Mentor and develop team members, enhancing their skills in advanced data science and AI technologies. Foster a culture of learning and innovation, leveraging extensive experience in leadership and project management to build a strong, capable team.
• Doctorate in Data Science or related field, with a focus on Artificial Intelligence.
• Extensive experience in AI, machine learning, and cloud architectures.
• Proven leadership in managing large-scale projects and teams.
• Strong technical proficiency in Python, TensorFlow, PyTorch, and other AI/ML frameworks.
• Deep expertise in cloud computing solutions across platforms like IBM, AWS, and Azure.
• Experience in leading AI initiatives.
• Demonstrated ability in driving research and development in AI.
• Exceptional communication and team management skills.
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