Lead Machine Learning Ops Full-time Job

Key Accountabilities

Enabling Engineering/Transforming capabilities to support ML, Build tool Supported or business needed custom transformations to perform data preparation and make it ready for ML, Enable End to End MLOps framework, Automated pipelines, containerization, templatization, CI/CD, etc.

The role requires job holder to be a creative thinker and able to propose innovative ways to look at business problems by using data mining (the process of discovering new patterns from large datasets) approaches on the set of Information available. They will need to validate their findings using an experimental and iterative approach. Also, Data Scientist will need to be able to present back their findings to the business by exposing their assumptions and validation work in a way that can be easily understood by their business counterparts.

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 FABselected 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 summaries on categorical and numerical data. Machine learning based visual assessment of values clustering. Automatically detect and handle unique and invalid values and outliers and a Wizard for anomaly detection.

Qualifications

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.

DataIKU

SAS (Base SAS,EMiner ,EG)

Statistical modelling, Machine Learning and AI(Pattern recognition, Natural language processing, computer vision)

Data Visualization (Power BI)

Data modelling: json, xml

Deep learning technologies (Neural networks, LSTM, GAN,RNN,etc..)

Deep learning frameworks(Tensorflow/pytorch/Maxnet)

Cloud deployment: Google cloud platform/amazon/Microsoft azure

Experience in drafting solution architecture frameworks that rely on API’s and microservice

Expertise in distributed computing environments / big data platforms (Cloudera, Hadoop, Apache spark,Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)

FAB, the UAEs largest bank and one of the worlds largest financial institutions offers a an extensive range of tailor-made solutions, and products and services, to provide a customised banking experience. Through its strategic offerings, it looks to meet the banking needs of customers across the world via its market-leading Corporate and Investment Banking and Personal Banking franchises.
Headquartered in Abu Dhabi, in Khalifa Business Park, the banks international network spans over 19 countries, across the world, providing the global relationships, expertise and financial strength to support local, regional and international businesses seeking to do business at home and abroad. In line with its commitment to put customers first, to Grow Stronger, FAB will continually invest in people and technology to create the most customer-friendly banking experience and will support the growth ambitions of its stakeholders across the global network in which the bank operates.
To empower its customers and clients to Grow Stronger, FAB is initiating a powerful movement, which goes beyond banking. The Grow Stronger movement represents the banks promise to support its stakeholders goals and growth ambitions, providing ideas, tools and expertise to help them become stronger, today and in the future. Through a strong, diversified balance sheet, leading efficiency and a solid corporate governance structure in place, FAB is set to drive growth forward.