Java Backend AI Senior Consultant Specialist

In this role you will:

• Focus on designing training and integrating Large Language Models (LLMs) and AI technologies to enhance product capabilities and customer experience driving innovative solutions and ensuring alignment with the latest advancements in artificial intelligence.
• Provide support across the end-to-end delivery and run lifecycle utilising their skills and expertise to carry out software development testing and operational support activities with the ability to move between these according to -to-end accountability for a product or service identifying and developing the most appropriate Technology solutions to meet customer needs as part of the Customer Journey
• Liaise with other engineers architects and business stakeholders to understand and drive the product or services direction
• Create technical test plans and records including unit and integration tests within automated test environments to ensure code qualityProvide support to DevOps teams working at all stages of a product or service release/change with a strong customer focus and end-to-end journeys ensuring they have an excellent domain knowledge
• Working with Ops Dev and Test Engineers to ensure operational issues (performance operator intervention alerting design defect related issues etc.) are identified and addressed at all stages of a product or service release/changeProvide support in identification and resolution of all incidents associated with the IT service as directed by leadership of the DevOps team
• Ensure service resilience service sustainability and recovery time objectives are met for all the software solutions deliveredResponsible for automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvementKeep up-to-date and have expertise on current tools technologies and areas like cyber security and regulations pertaining to aspects like data privacy consent data residency etc.

To be successful in this role you should meet the following requirements:

• Bachelors degree in engineering Information Technology or a related field (or equivalent experience)8 years experience in IT
• Full stack software engineering capability including front-end middleware backend is a mustExpertise in frontend () backend AI/ML model development MLOps and DevOps (Docker CI/CD pipelines containerization cloud deployment).Experience in developing and deploying machine learning models including data preprocessing model training evaluation and optimization.
• Experience with LLM including training fine-tuning optimizing and deploying models such as GPT BERT or other transformer-based architectures.
• Strong solutions architecture and engineering hands-on experience with complex enterprise understanding of design on micro-service and experience delivering scalable solutions in finance industry area.
• Familiar with cloud platforms including auto-scaling and global deployments of application architecture with actual project experience on at least 1 cloud platform (including AWS GCP and Ali Cloud).Familiar with over 2 programming language like Python/Java/ and relevant Design Patterns and databases including relational DB and NOSQL of using and extending common open frameworks (e.g. Spring Django Tensor Flow Pytorch etc.)Capability to build up and setup PoC Environment rapidly with Cloud Container etc.