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Job Description & How to Apply Below
Responsibilities:
Mining and analyzing data from various sources to identify trends and patterns
Developing predictive models and algorithms to solve complex business problems
Designing and implementing experiments to test hypotheses and validate models
Collaborating with cross-functional teams to translate business requirements into technical solutions
Communicating findings and recommendations to stakeholders through reports and presentations
Requirements:
Bachelor's or master's degree in Statistics, Mathematics, Computer Science, or related field
Proficiency in programming languages such as Python, R, and SQL
Experience with machine learning techniques and frameworks (e.g., Tensor Flow, PyTorch, scikit-learn)
Strong analytical and problem-solving skills
Excellent communication and presentation skills
Preferred Qualifications:
Experience working in cloud environments such as AWS, Azure, OCI, or Google Cloud Platform
Knowledge of containerization technologies such as Docker and Kubernetes
Familiarity with agile development methodologies and Dev Ops practices
Experience with distributed computing and parallel processing frameworks
AI related Certification
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