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Join us as a Machine Learning/Artificial Intelligence Engineer, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.
Job Responsibility:
Support the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards
Spearhead the evolution of our digital landscape, driving innovation and excellence
Harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes
Consult on complex issues
providing advice to People Leaders to support the resolution of escalated issues
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda
Take ownership for managing risk and strengthening controls in relation to the work done
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience
Influence or convince stakeholders to achieve outcomes
Requirements:
Good years of experience in IT with background in Development, Machine Learning and/or Data analysis
Hands-on experience of NLP/AI/ML tool & technologies – GPT, BERT or other language models
Experience in building GenAI applications, RAG based architectures
Experience in Model Development: Research, design, implement, and optimize machine learning models for specific use cases such as predictive analytics, NLP, computer vision, and recommender systems
Data Preparation: Collect, preprocess, and analyze large datasets to extract meaningful insights and ensure data quality for model training
Deployment: Build and deploy Al/ML solutions into production environments using appropriate tools and frameworks
Knowledge of one of the cloud platforms is must : AWS/AZURE
Collaboration: Work closely with product managers, data engineers, and software developers to integrate Al capabilities into products and ensure alignment with business objectives
Performance Monitoring: Evaluate and monitor model performance and accuracy post-deployment, iterating to address challenges and refine models as needed
Strong Affinity to stay informed on the latest trends, tools and research in Al and machine learning space
Support and contribute to data collection efforts, as needed
Verify data quality to ensure accurate analysis and reporting
Help identify the business data needed to produce the most useful insights and future analytics
Utilize data to make actionable recommendations at all levels
Monitor data management processes to ensure data quality and consistency
Monitor system performance, data integrity and usage metrics
Contribute to data dictionary, standards, training, and ongoing updates
Nice to have:
Web service development experience using REST services/APIs, JSON, XML, IVRs, Jenkins, other Cloud Platforms