Company DescriptionJoin the UAE\'s largest bank and one of the world\'s largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders and communities to grow through differentiation, agility and innovation. We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting & dynamic industry. Job PurposeBuilding/Enabling Model Deployment framework across FAB Analytics, Enabling/FABifying Feature-bank or feature store, Enabling Capability to select best algorithms or Enhanced UI to play with.Key Accountabilities

• To Create and support monitoring tools to understand users and activities running on the server. To create a platform to provide more granular monitoring service
• . To support Model Monitoring with native features for detecting model drift and data drift
• Will be able to build a powerful automated machine learning engine that allows you to get highly optimized models with minimal intervention. Having full control over all training settings, algorithm settings and optimization process, including writing your own custom models and using advanced deep learning models.
• Datasets in the Analytical tool to be promoted into the Feature Store, showing both data quality and trustworthiness, and can assist with simplifying re-use. Users can access feature store to reuse cleaned/reference datasets in their projects.
• To Enable data quality with an automatic meaning detection algorithm (With in the FAB selected Analytical tool of choice) and support using the built-in/custom developed visual tools for establishing data quality. For example, each column includes a simple histogram to show the number of valid records in the column. The user can drill deeper to view a detailed histogram, summary statistics, and the ability to drop invalid rows with just a few clicks. Automatically sorted visual data quality assessments and statistical

QualificationsMinimum Qualification

• 5+ Years of Experience in AL ML Tooling and ML Ops Practice Setup
• Solid hands on Modelling tools Like DataIKU, SAS Viya or had already used Azure ML OPS.
• Terraform experience, Python Coding Required.
• Candidate must possess at least a Graduate or bachelor\'s degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication) or equivalent.
• Good to be certified in Model Ops, ML Ops.
• Additional certifications in Machine Learning, Artificial Intelligence, scripting language such as spark, python, sql, scala and others is good to have.
• Certifications in various cloud environments is an added advantage.

Additional Information#LI-KS1

First Abu Dhabi Bank