Senior Machine Learning Ops Engineer (PROJ-4478)

Major Responsibilities:

• Sets the direction for, and leads, a technical team to improve data science processes and techniques.
• Evaluates the need for analytics, prioritises the problems to be solved and determines which data sources to use or acquire.
• Specifies and applies appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyse data, generate insights, create value and support decision-making.
• Manages reviews of the benefits and value of analytics techniques and tools and recommends improvements.
• Takes technical responsibility across all stages and iterations of software/analytic development. Plans and drives software/analytic construction activities. Adopts and adapts appropriate software/analytic development methods, tools and techniques.
• Contributes to the development of solution architectures in data analysis and exploitation. Identifies and evaluates alternative architectures and the trade-offs in cost, performance and scalability.
• Identify system interdependencies and liaise with other system stakeholders to resolve conflict and coordinate integrated solutions.
• Document technical processes and write documentation in accordance with relevant policies and procedures.
• Establish and foster productive working relationships by working cohesively and flexibly with the broader project team, key business partners and stakeholder groups.

Essential criteria

• Sets the direction for, and leads, a technical team to improve data science processes and techniques
• Evaluates the need for analytics, prioritises the problems to be solved and determines which data sources to use or acquire.
• Specifies and applies appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyse data, generate insights, create value and support decision-making. Manages reviews of the benefits and value of analytics techniques and tools and recommends improvements
• Takes technical responsibility across all stages and iterations of software/analytic development. Plans and drives software/analytic construction activities. Adopts and adapts appropriate software/analytic development methods, tools and techniques.
• Contributes to the development of solution architectures in data analysis and exploitation. Identifies and evaluates alternative architectures and the trade-offs in cost, performance and scalability
• Identify system interdependencies and liaise with other system stakeholders to resolve conflict and coordinate integrated solutions.
• Document technical processes and write documentation in accordance with relevant policies and procedures.
• Establish and foster productive working relationships by working cohesively and flexibly with the broader project team, key business partners and stakeholder groups.

Desirable criteria

• Demonstrated knowledge in the application and integration of machine learning approaches
• Demonstrated knowledge of geospatial analysis Desirable characteristics
• Ability to learn and adapt previous experience to solve problems
• Experience/ interest in the development of secure systems
• Ability to lead design discussions and option assessment.