Product Engineering Manager - Deep Learning Algorithm

Responsibilities :

• Lead the design, development, and deployment of AI solutions, ensuring alignment with organizational goals.
• Manage AI projects from inception to completion, coordinating cross-functional teams and resources effectively.
• Oversee the implementation of deep learning algorithms for various applications, particularly in medical image analysis.
• Mentor and guide team members, fostering a collaborative and innovative work environment.
• Ensure high-quality code development in Python, C, or C++, with a strong understanding of object-oriented programming concepts.
• Product Strategy : Develop and implement a comprehensive product strategy for AI-based services and products by business objectives, customer feedback, and market trends.
• Project Management : Supervise AI projects from inception to completion, including resource allocation, monitoring progress, and defining project scope and timelines.
• Cross-functional Collaboration : Effectively collaborate with the engineering, data science, design, marketing, and sales departments to guarantee the smooth implementation of AI efforts and their alignment with the organization's goals.
• Market Research : Conduct market research to identify emerging technologies, customer requirements, and the competitive landscape; then apply the findings to product positioning and development.
• Product Development : Work closely with data scientists and engineers to develop AI algorithms, models, and applications, ensuring they are scalable, efficient, and meet quality standards.
• Product Launch : Coordinate product launches, including assistance in developing go-to-market strategies, creating marketing materials, training sales teams, and gathering customer feedback.
• Performance Monitoring : Monitor the performance of AI products post-launch, track key metrics, conduct data analysis, and identify areas for improvement or optimization.
• Regulatory Compliance : Stay informed about regulatory requirements and industry best practices related to AI technologies, and ensure products comply with relevant standards and guidelines. Hands-on experience with documentation related to the CE and FDA process is desirable.
• Customer Engagement : Engage with customers to gather feedback, understand their needs, address concerns, and identify opportunities to enhance the value of AI products.

Requirements :

(ref : hirist.tech)