Machine Learning Engineer at Paracon

Machine Learning Engineer

Leading digital and eCommerce company is seeking an experienced Machine Learning Engineer to join their team. You will primarily be responsible for building end-to-end machine learning models from ideation to deployment and scalability. You would create new and improved data-driven solutions to assist the Group in answering business questions, gaining competitive advantage, identifying new market opportunities, increasing efficiencies, and/or reducing costs.

The job objectives are, but not limited to:

• Work in a cross-functional team, collaborating with data scientists, engineers, and analysts to understand project goals, interpret end-users intent and drive the build, implementation and scale-up of algorithms for measurable impact.
• Understand and use ANN's, CNN's, RNN's, autoencoders, fundamental data science concepts (linear and logistic regression, SVM's, dimensionality reduction), decision trees, gradient boosting, ensemble models, etc. to develop machine learning models.
• Implement above architectures with deep learning frameworks such as Keras and TensorFlow.
• Train models on large-scale data and fine tune hyper-parameters.
• Research and implement appropriate machine learning algorithms and tools by selecting the correct libraries, programming languages, and frameworks for each task.
• Understand and use computer science fundamentals, including data structures, algorithms, computability, complexity and computer architecture.
• Present complex machine learning concepts and results to both technical and non-technical audiences.

Requirements for this position:

• Degree/Diploma in IT/Computer Sciences
• 3+ years Machine Learning experience
• 3+ years Data Science experience
• Tools: SQL, Python, Cloud Platform (AWS), Profitability and Statistics Prescriptive Modelling