Key Responsibilities:

• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations.
• Turning unstructured data sets into useful information to be used in the AI/ML training. Solving complex problems with multi-layered data sets, as well as optimising existing machine learning libraries and frameworks.
• Developing ML algorithms to analyse big volumes of historical data to make predictions, using big-data techniques where appropriate. Running tests, performing statistical analysis, and interpreting and validating test results.
• Documenting and reviewing Key Design Decisions and processes, producing technical documentation. Keeping abreast of developments in machine learning technology.
• Work across a diverse range of key stakeholders to engage and support, and their associated priorities, including support and participating in the AI/ML VIAVI CoE.
• Able to work in fast-paced, high-demand and delivery-oriented environments and able to adapt approach and style to meet shifting priorities
• Evangelise best practices and solutions across VIAVI Wireless BU and identify new opportunities on standardising product capabilities through AI/ML solutions
• Work with the rest of the R&D data engineers and software engineers conveying the design and implementation for the programmes and ensuring adherence to the technology principles and processes.

Your skills and qualifications will ideally include:

• You should a self-motivated team player who is able to work independently and on your own initiative.
• Excellent organisational skills are required along with the ability to communicate confidently both written and verbally.
• You should be customer and quality driven, but pragmatic and commercially aware.
• Bachelor's degree in computer science, data science, mathematics, or a related field.
• Master's degree in computational linguistics, data analytics, or similar will be advantageous.
• At least two years' experience as a machine learning engineer or a higher degree in AI/ML.
• Advanced proficiency with Python, Java, and R code writing.
• Extensive knowledge of ML frameworks, libraries, data structures, Datamodelling, and software architecture.
• In-depth knowledge of mathematics, statistics, and algorithms.
• Superb analytical and problem-solving abilities.
• Great communication and collaboration skills.
• Excellent time management and organizational abilities.