Engineer Machine Learning

SUMMARY:
The Role:

A dynamic and talented Machine Learning Engineer required for the banking sector. The Engineer will supporting their strategic priority for developing applications of machine learning, artificial intelligence and supporting other strategic priorities such as digitisation.

They aim to grow their internal community of highly skil...

POSITION INFO:
The Role:

A dynamic and talented Machine Learning Engineer required for the banking sector. The Engineer will supporting their strategic priority for developing applications of machine learning, artificial intelligence and supporting other strategic priorities such as digitisation.

They aim to grow their internal community of highly skilled and talented professionals!

Essential Skills: 

• 4+ years experience in Machine Learning Artificial Intelligence: Understanding of machine learning methods, deep learning methods, sorting and search algorithms, data structures, data modelling and software architecture. Knowledgeable in key areas of mathematics and how it can be applied to computing or data challenges; Linear Algebra, Multivariable Calculus Statistics. Possess the ability to communicate technical concepts to both business and IT teams.
• 2+ years experience in Machine Learning Artificial Intelligence -  production ML models. Experience with big data tools, as well as with relational SQL and NoSQL databases. Experience with data pipeline and workflow management tools. Experience in either AWS or Azure cloud services.
• Experience with object-oriented/object function scripting languages. Experience with exposing data and models via APIs. Experience with code management and deployment automation.

Essential Qualifications:

• BSc Degree in Computer Science, Engineering, Mathematics, Statistics, or Physics

Advantageous - Additional Qualifications:

• Courses certifications from reputable academic institutions in Machine Learning or Software Engineering.
• Microsoft Certified Data Scientist Associate, Microsoft Certified Azure AI Engineer Associate, AWS Certified Machine Learning Specialty

KPA''s:

Product data science prototypes:

• Machine learning engineers sit at the intersection of software engineering and data science and are involved in research, design, experimentation, development, deployment, monitoring, and maintenance.

Design machine learning systems:

• Design machine learning systems and create intelligent data-driven products using both existing open source libraries internally developed machine learning models.

Implement machine learning solutions:

• Develop machine learning applications (production-level code) according to requirements. Software architecture may include platforms such as cloud computing based data platforms or on-premise data platforms

Research and best practices:

• Research and implement appropriate frameworks and tools. Contribute to popular open-source machine learning libraries and frameworks where possible.

Skills development :

• Keep up to date with current technologies and trends. Help grow our internal machine learning artificial intelligence community.

Personality Traits:

• Logical thinker
• Out of the box thinker
• Passionate digital technologies - e.g. Robotics 
• Pays attention to smaller details 
• Self driven and motivated individual.

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