REQUIRED SKILLS (2-4YEARS)

Experience with ARIMA
Experience with FB Prophet
Experience with Python
Experienced ML engineer to work on universal forecasting models
Gluon
HADOOP
Seasonal Naive
The application architecture is represented by OpenShift, linux, Oracle, SQL Server, Hadoop, MongoDB, APIs and a great deal of Python code.
Summary:
The main function of a machine learning engineer is to design, develop, implement, test, and maintain multi-platform machine learning software systems.
Job Responsibilities:
• Research, develop, and implement machine learning algorithms for use in software and hardware applications.
• Perform application programming activities including coding, testing, debugging, documenting, maintaining, and modifying machine learning systems.
• Analyze and review enhancement requests and specifications.
• Implement changes to algorithms to improve performance.
• Troubleshoot problems to improve user experience.
• Provide quality assurance reviews
• Perform post-implementation validation of machine learning models and resolve any bugs found during testing
Qualifications:
• A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design
• Strong knowledge of R, Python and Java.
• Strong knowledge of statistics.
• Strong critical thinking and problem resolution skills.
Qualifications:
• Bachelor’s degree in Computer Science or related field.
• 5-7 years related experience.