AI ANALYST
Full TimeBookmark Details
Job Description:
AI Analyst
Power International Holding
153930
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Qualification & Experience:
- Minimum 8 year(s) working experience, 5 year(s) relevant working experience, 2 year (s) GCC is a plus.
- Bachelor’s Degree in Computer Science or Information Technology
Competencies:
Roles and Responsibilities:
The AI Analyst is responsible for assisting in the development, implementation, and maintenance of artificial intelligence systems and solutions. The role specializes in analyzing data and leveraging artificial intelligence (AI) techniques to derive insights, solve problems, and make informed decisions. Their primary responsibility is to apply AI and machine learning methodologies to analyze large datasets, identify patterns, and develop predictive models. AI Analysts work across various industries, including technology, finance, healthcare, marketing, and more, to drive innovation and improve business processes.
Collect, clean, and analyze large datasets to extract valuable insights and patterns.
Assist in building machine learning models and algorithms to solve business problems.
Stay updated on the latest advancements in AI and machine learning techniques and technologies.
Conduct thorough testing and validation of AI models to ensure accuracy and reliability.
Document processes, methodologies, and results to facilitate knowledge sharing and collaboration.
Provide technical support and assistance to resolve issues related to AI systems and solutions.
Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to develop and deploy AI solutions.
Job Knowledge & Skills:
Understanding of data collection, cleaning, transformation, and analysis techniques to derive meaningful insights from large datasets.
Knowledge of fundamental concepts and algorithms in machine learning, including supervised learning, unsupervised learning, and deep learning.
Familiarity with statistical techniques such as hypothesis testing, regression analysis, and probability theory to interpret data and validate models.
Awareness of ethical considerations and biases in AI and machine learning applications, including fairness, accountability, transparency, and privacy.
Strong analytical and problem-solving skills to dissect complex problems, identify patterns, and formulate data-driven solutions.
Familiarity with SAP data structures and data bases such SAP HANA
Knowledge in SAP Programming Language like ABAP.
Knowledge of SAP Analytics tool like SAP Analytics Cloud.
Understanding of SAP Integration technologies and protocols and awareness of SAP Industries specific solution and best practices.
ERP knowledge preferably SAP functional skills are a requirement to be successful in this role.
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