Detalhes do emprego
A recruiter is seeking an AI Specialist - Product Owner.
Roles & Responsibilities
Lead the development and implementation of GenAI strategies to create new products and enhance existing offerings.
Collaborate with cross-functional teams, including R&D, marketing, and product development, to integrate GenAI technologies using Agile methodologies.
Conduct market analysis to identify trends and opportunities in GenAI applications.
Work closely with stakeholders to understand their needs and tailor AI solutions that align with governmental regulations and public expectations.
Manage projects from conception to execution, ensuring they meet quality, timeline, and budget requirements using Agile project management practices.
Continuous monitoring of the product adoption and performance.
Stay abreast of technological advancements in AI and assess competitive products and services.
Facilitate training and development for team members on GenAI technologies and applications.
Utilize version control systems like GitHub for maintaining project versioning and collaboration.
Desired Candidate Profile
Required Skills and Qualifications:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Proven experience in AI, machine learning, and particularly in generative AI technologies.
Demonstrable knowledge of AI frameworks and tools such as TensorFlow, PyTorch, OpenAI's GPT, or similar technologies.
Strong understanding of the current AI market, technological advancements, and emerging trends.
Solid experience in product development, project management, and deployment of AI solutions within a tech-focused environment using Agile processes.
Excellent communication, leadership, and project management skills.
Preferred Qualifications:
Expertise in developing and deploying machine learning models and generative models.
Proficient in programming languages such as Python and ability to work with AI development tools.
Experience with cloud platforms like AWS, Azure, or Google Cloud, specifically for deploying AI solutions.
Knowledge of data processing, data architecture, and data storage solutions suitable for scalable AI applications.
Ability to perform rigorous testing and validation of AI models to ensure their effectiveness and efficiency.
Familiarity with ethical AI practices and ensuring AI solutions are developed within legal and regulatory frameworks.
Skilled in using Agile practices and tools like GitHub for version control and collaborative development.
#J-18808-Ljbffr Management & Operations
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Hiring company
Confidential
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