:: * Design and implement test frameworks on large scale programs and enhance existing test processes.
Design and build distributed and modular architectures (microservices, API-first).
Lead & develop systems architecture & design on Machine Learning solutions.
Identify and highlight potential risk and implement the mitigation plans for respective deliverables.
Collaborate with other technology functions (Software Engineering, Data Engineering, Data Science etc.) and maintain adherence to corporate policies.
Qualification:
Bachelor\'s degree in, or a related Computer Science, Software Engineering, Information Systems Engineering or related field.
Requirements:
Minimum 10 years of experience in Digital Product development, this experience should include a minimum of 3 to 5 years leading a team.
Experienced in developing solutions with common software engineering & ML languages i.e. Python, R, ReactNative, Typescript, node.js, ES6+.
Deep understanding in Cloud services & environments
Experienced in microservices design, CI/CD, DevOps & MLOps
Strong familiarity and deep understanding with the modern Data Engineering (Azure ADF, Data Lake, Talend), Data Science (Databricks, Azure ML) and Data Visualization technologies (PowerBI, Tableau).
Familiarity with digital engineering solutions i.e. AVEVA, PDMS, Osisoft PI, APM, Aspen etc.
Strong communication skills with comfort in speaking with business stakeholders.
Closing date: 31 May 2024Only shortlisted candidates will be notified.