Machine Learning Engineer Level 2 at Derivco

Machine Learning Engineer Level 2 : Technical Outputs

• Knowledge sharing
• Readily shares knowledge when tasked or approached.
• Proactively shares knowledge within the team.
• Developed and maintained machine learning solutions
• Analyze requirements, perform experimentation and document the proposed solution, in conjunction with Lead and Senior Machine Learning Engineers, according to best practice.
• Develop machine learning models and optimize and automate model training and testing for experimentation, development, and production
• Meet business requirements through combining several different machine learning algorithms with domain knowledge.
• Design and build data and model pipelines required to successfully reach the desired outcome and performance
• Continues to monitor accuracy and performance of model, optimizing as required.
• Creates appropriate estimates and reviews them with seniors and the team.
• Develops and releases software and systems as per the team standards and processes to meet the defined specifications or requirements within the agreed time.
• Ensures that the development or maintenance performed does not compromise the quality or functionality of the software and system.
• Communicates status and escalates on risks and issues appropriately and timeously.
• Comprehensively creates and maintains documentation of the software and system design and implementation, according to documentation standards.
• Contributes to the improvement of the team's development standards and processes.
• Machine Learning software and system quality
• Test your implementation and design as per the team's quality charter.
• Make sure your software does what it supposed to do as per the defined specification.
• Test all changes you made and ensure that existing functionality works as expected.
• Actively review and fix all defects found as per the defined quality standards.
• Contributes to the improvement of the team's quality standards and processes.
• Help others improve the quality of their work.
• Takes ownership of all aspects of the quality of the implementation.
• Support and Maintenance
• Provides support for product related issues in production with appropriate amount of urgency, while quickly identifying the problem scope.
• Provide effective and timely feedback on support issues.
• Provides support to dependant teams.

Machine Learning Engineer 2: Skills

• Qualification: BS in Computer Science, Electrical Engineering, or related fields
• Minimum 3-year relevant qualification and at least 2 years software development experience. OR
• Relevant 1-year certification and at least 4 years software development experience
• OR Minimum 5 years software development experience
• Understanding of machine learning and application thereof
• Understand the SDLC (Software Development and Machine Learning)
• Software analysis and design skills.
• Sound knowledge of math and probability