Machine Learning/Artificial Intelligence Engineer

Join us as a Machine Learning/Artificial Intelligence Engineer at Barclays, 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.

To be successful as a Machine Learning/Artificial Intelligence Engineer you should have experience with:

• Good years of experience in IT with background in Development, Machine Learning, and Data Engineering.
• 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.
• Should have hands-on experience of NLP/AI/ML tool & technologies – GPT, BERT or other language models.
• Should have experience in building GenAI applications, RAG based architectures.
• Knowledge of one of the cloud platforms is must : AWS/AZURE.
• Strong programming knowledge in Python, Java, Scala, or other languages used to build data pipelines, implement data transformations, and automate data workflows.
• Strong Experience in building Data Pipelines, ETL, Data Streaming, Orchestration & Data Governance.
• Working Experience on Azure Data Factory and Azure Data Bricks.
• Experience in Databases like SQL, PostgreSQL, MySQL and NoSQL databases (e.g., MongoDB, Cassandra).

Some other highly valued skills may include:

• Experience with Front End Development would be advantageous.
• Experience Into Data Engineering for the AI.
• Strong Affinity to stay informed on the latest trends, tools and research in Al and machine learning space .
• Web service development experience using REST services/APIs, JSON, XML, IVRs, Jenkins, other Cloud Platforms.
• Experience in setting up DevOps pipelines.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. 

This role is based in Pune.

Purpose of the role

To collaborate, nurture and drive group innovation with internal and external stakeholders to ensure the bank stays at the forefront of innovation and adapts to the rapidly changing landscape in financial services and increasing customer expectations. 

Accountabilities

• Collaboration with a range of stakeholders to develop a portfolio of open innovation and strategic initiatives through experimentation, co-creation, access to innovative technology capabilities, products and services and a global innovation ecosystem.
• Development and delivery of frameworks, ideation, training and tools to build a culture of innovation and knowledge sharing to enable new and creative ideas/solutions that deliver on the bank’s strategy.
• Provision of a global platform and curated ecosystem of partners to inform strategy, drive connectivity and new insights.
• Development of the strategic capabilities and programmes for the bank to deliver on its strategy, supporting the exploration, evaluation and execution of innovation and investment opportunities.
• Management and coordination between external stakeholders/partners and the bank, to successfully deliver joint projects and initiatives.
• Deliver thought leadership and insights to inform strategic decision making and organisational readiness, in conjunction with regular research, identifying emerging technologies and trends.  .
• Development and management of key metrics including key partnerships, innovation initiatives and impact through regular assessments to calculate the return on investment and identify any potential risks and issues.

Assistant Vice President Expectations

• 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.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.