Machine Learning Specialist

Summary about this job

Detail information about job Machine Learning Specialist. Terms and conditions vacancy

Summary:

This exciting digital security company is looking for a talented Machine Learning Engineer to join its growing team. The work will be focused on applying Deep Learning to complex problems in Computer Vision.

Job Functions:

• Gather and analyse data, identify key prediction/classification problems, devise solutions and build prototypes
• Provides the technical expertise and support to ensure that data products function effectively in a production environment.
• Formulate machine learning approaches while paying attention to business metrics, design features from available data; train, evaluate, and deploy models
• Research and implement methodologies to measure the impact of the technology
• Research, design and trial statistical and machine learning models to support Fusion’s optimisation products and teams
• Assist product and engineering teams in deploying models to production through technical specifications, collaboration and ad-hoc training in the mathematical concepts used
• Creates measurement systems to continuously evaluate the performance of data.
• Decomposes complex problem statements into specific deliverables and requirements.
• Creates prototypes for scalable Machine Learning Solutions using the latest methods and technologies.

Qualification:

• Strong expertise and experience in machine learning and data science
• Experience working with large scale distributed systems
• Programming skills with Python, Scala or C#,
• Experience in implementing Deep Learning algorithms with open-source tools
• Advanced skills with NoSQL databases and can interact with large amounts of data 
• Familiarity with Continuous Integration/Continuous Delivery workflows and supporting applications.
• Advanced understanding of software development and collaboration, including experience with tools such as Git. 

If you're ready to work in a dynamic environment alongside talented people who take pride in delivering great results. Apply today

Jessy Sahota  0402 458 957 | [email protected]