Your responsibilities will include:

• Work with a firehose of customer data.
• Analyze, build, evaluate and productionise machine learning models.
• Touch all aspects of the business in your domain.
• Brainstorm new ideas and concepts to solve specific use cases.
• Work with teammates on design and code reviews.
• Keep abreast of developments in the machine learning domain.

The skills and attributes we need:

• Be creative
• Be flexible
• Be a team player
• Be data oriented
• Take pride in your work
• Be a good communicator

Qualifications & Preferred Experience:

• Degree in Computer Science or Engineering (alternatively a degree in a related field with work experience as a software engineer).
• Three (3) years’ experience applying machine learning to real-world problems.
• Three (3) years’ commercial software development experience.
• Strong understanding of statistical analysis, modeling and machine learning techniques.
• Strong knowledge of different types of recommendation systems.
• Experience building backend systemcs at sale with a strong focus on data processing and machine learning.
• Experience working within an agile team that is operationally hands-on and an advocate of that culture.
• Experience with Python
• Experience with Linux
• Experience with BigQuery.
• Experience with TensorFlow, Scikit-learn, PyTorch and Pandas.
• Experience with deploying machine learning to production environments.
• Data Mining and Big Data experience.

Bonus Skills and Experience:

• MSc (master of science) or PhD (doctorate).
• Experience with cloud-based platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).
• Experience with Elasticsearch.
• Experience with end-to-end machine learning frameworks such as Kubeflow, TensorFlow Extended or MLflow.
• Experience with serving machine learning models, such as TensorFlow Serving or KServe.