AI analyst

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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• Data analysis and modeling: Analyzing large amounts of data to identify patterns and trends, building predictive models, and creating data visualizations to help decision-makers understand the insights derived from the
  
• Machine learning development: Designing, developing, and implementing machine learning algorithms and models for various applications such as natural language processing, computer vision, and predictive
  
• Data engineering: Building and maintaining data pipelines, data warehousing, and data Ensuring that data is accurate, complete, and accessible for analysis and
  
• Business intelligence: Collaborating with business stakeholders to understand their needs and objectives, and using data and analytics to help them make better
  
• Communication and collaboration: Communicating insights and recommendations to stakeholders in a clear and concise manner, and working with other teams such as data science, engineering, and product development to implement
  
• Technical expertise: Keeping up-to-date with the latest technologies and trends in artificial intelligence and machine learning, and applying this knowledge to improve the performance and accuracy of models and
  
• Ethical considerations: Ensuring that AI solutions are developed and deployed in an ethical and responsible manner, and addressing any potential biases or negative impacts on individuals or
  
  
  

Requirements

1. trong analytical and problem-solving skills: Ability to analyze data, identify patterns and trends, and develop solutions to complex
   

2. Technical skills in programming and data analysis: Proficiency in programming languages such as Python, R, and SQL, as well as tools for data analysis and visualization such as Excel, Tableau, and Power
   

3. Knowledge of machine learning and deep learning: Understanding of various algorithms, techniques, and tools used in AI, such as supervised and unsupervised learning, neural networks, and natural language
   

4. Business acumen: Knowledge of the industry, company and business processes and ability to translate business needs into technical
   

5. Strong communication and collaboration skills: Ability to effectively communicate with stakeholders, including technical and non-technical team members, and to collaborate with cross-functional
   

6. Continuous Learning : Continuously learning new technologies, frameworks, and trends in artificial intelligence and machine learning to stay updated with the latest
   

7. Strong Project Management skills: Ability to lead and manage AI projects, including setting project goals and timelines, assigning tasks and resources, and monitoring
   

Benefits

Extreme Learning and training

Continuous growth every 3 months financially & in

Compensation based on contribution value