cases. Perform User-Centric Testing: Conduct experiments and tests of AI solutions with end users, iterating satisfaction. Finetune and optimise predictive models: Apply state-of-the-art techniques and frameworks learning as well as open-source LLM foundation models Build RAG and Agentic pipelines: Develop and implement performance of our AI solutions. Education and Experience: Bachelor's degree in computer science, Engineering related fields are highly Minimum 4 years of experience in AI/ML engineering or related roles (e.g.,
cases. Perform User-Centric Testing: Conduct experiments and tests of AI solutions with end users, iterating satisfaction. Finetune and optimise predictive models: Apply state-of-the-art techniques and frameworks learning as well as open-source LLM foundation models Build RAG and Agentic pipelines: Develop and implement performance of our AI solutions. Education and Experience: Bachelor's degree in computer science, Engineering related fields are highly Minimum 4 years of experience in AI/ML engineering or related roles (e.g.,
do more than you think you can, to apply your experience, knowledge and aspirations to an exciting new Architect role. Must have Software Development experience and/or Solution Architecture exposure but still enterprise or solution perspective Architecture experience within the various architecture domains which pressure An options thinker Qualifications and Experience Industry recognized Architecture certification 5-7 years' experience in a similar position A minimum of 5 years of IT experience Experience in Financial
analytics technical requirements; performs data modelling and maps the analytic solution to the relevant Works closely with the Data Architect(s) and Data Modeller(s) to design, refine and implement analytic solutions processes. Requirements At least 5 years proven experience in drafting functional specifications At least Business Analysis, data design and systems analysis experience in a data and analytics environment At least identifying and specifying business requirements experience. At least 5 years Liaising between business and
analytics technical requirements; performs data modelling and maps the analytic solution to the relevant Works closely with the Data Architect(s) and Data Modeller(s) to design, refine and implement analytic solutions processes. Requirements At least 5 years proven experience in drafting functional specifications At least Business Analysis, data design and systems analysis experience in a data and analytics environment At least identifying and specifying business requirements experience. At least 5 years Liaising between business and
CodePipeline, AWS CodeBuild, AWS CodeDeploy) Experience working on open source platforms (Apache, Tomcat virtualization environments (VMWare, OpenStack, KVM) Experience with Docker, Kubernetes, PowerShell scripting templates, AWS ECS Experience in performance/stress testing is good to have Experience in Agile is a must must Requirements 3 years working experience in related field Bachelor degree (Advantageous) Intermediate
CodePipeline, AWS CodeBuild, AWS CodeDeploy) Experience working on open source platforms (Apache, Tomcat virtualization environments (VMWare, OpenStack, KVM) Experience with Docker, Kubernetes, PowerShell scripting templates, AWS ECS Experience in performance/stress testing is good to have Experience in Agile is a must must Requirements 3 years working experience in related field Bachelor degree (Advantageous) Intermediate
- 10 years' experience preferred) Experience with Node.js (at least 2 years) Experience with web and commonly used modules based on extensive work experience Creating self-contained, reusable, and testable
- 10 years' experience preferred) Experience with Node.js (at least 2 years) Experience with web and commonly used modules based on extensive work experience Creating self-contained, reusable, and testable
understanding of data protection principles and experience in implementing DLP solutions to mitigate risks related field (or equivalent work experience). 5 years proven experience as a DLP specialist or in a similar regulations (e.g., GDPR, HIPAA, PCI-DSS). Hands-on experience with DLP tools such as Purview, Symantec DLP