AI officer

At Aristocrat, We are on a mission to find the best talent potential individuals in thirst for innovation & Knowledge

Career in Aristocrat Involves remote modality and several cutting edge stipend linked corporate certification in house ;

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• Develop and implement AI strategies and plans: The AI officer is responsible for creating and executing plans for implementing AI technology within the This includes identifying areas where AI can improve efficiency, productivity, and customer
  
• Lead AI projects: The AI officer leads teams of developers and data scientists to design, build, and deploy AI-based systems and They also ensure that projects are completed on time and within
  
• Manage data: The AI officer is responsible for managing and maintaining the data used for training and testing AI They also ensure that the data is accurate, up-to-date, and compliant with
  
• Communicate with stakeholders: The AI officer communicates with stakeholders such as management, customers, and vendors to explain the benefits of AI and how it can be used to achieve business
  
• Monitor and evaluate AI performance: The AI officer monitors the performance of AI systems and applications, and evaluates the results to identify areas for They also analyze data to identify trends and patterns that can inform future AI
  
• Stay current with AI developments: The AI officer keeps abreast of the latest developments in AI technology and trends to ensure that the organization is using the most current and effective AI
  
• Ensure compliance with regulations: The AI officer ensures that the organizations AI systems comply with relevant regulations and laws, such as data privacy and security
  
• Provide training and support: The AI officer provides training and support for employees who will be using AI systems and applications, and helps them to understand how the technology works and how to use it
  

Requirements

• Strong analytical skills: The ability to analyze large amounts of data and identify patterns and trends that can inform business
  

• Machine learning expertise: Knowledge of machine learning algorithms and tools, such as Python, R, and
  

• Technical skills: Experience with data engineering and big data technologies, such as Hadoop, Spark, and
  

• Strong communication skills: The ability to explain complex technical concepts to non-technical stakeholders and communicate insights and recommendations in a clear and concise
  

• Business acumen: Understanding of business objectives and the ability to use data and analytics to help organizations achieve their
  

• Project management: Experience managing projects and leading cross-functional teams to deliver
  

• Continuous learning: A willingness to keep up-to-date with the latest technologies and trends in AI and machine learning, and apply this knowledge to improve the performance and accuracy of models and
  

• Ethical considerations: Understanding of ethical considerations and the ability to identify and address any potential biases or negative impacts of AI solutions on individuals or
  

Benefits

Extreme Learning and training

Continuous growth every 3 months financially & in

Compensation based on contribution