ML Engineer

Job Description

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Assistant Vice President Expectations

• 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.

Join us as a ML Engineer at Barclays where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.

 You may be assessed on the key critical skills relevant for success in role, such as:

• Experience of Banking/financial industries
• Expert understanding of Data Pipeline building (Pyspark & Hadoop echo system, AWS)
• Exposure to Infrastructure and Cost optimization techniques on Cloud
• Understanding of MI, Machine learning technologies and solution
• Relational and NoSQL databases.
• Must have experience of working in an IT project environment, an understanding of IT and business strategies, governance and SDLC
• Advanced working knowledge of big data technologies like PySpark, hive, MLiB & Hadoop echo system
• Strong knowledge of full Hadoop/Spark, ETL, Data modelling, ApaaS skills.
• Hands on implementation of emerging cloud technologies in the AIML Space including but not restricted to AWS, Data Bricks, Snowflakes
• Experience in performing root cause analysis on internal and external processes to answer specific business questions and identify opportunities for improvement.
• End-to-end software development lifecycle and methodologies (e.g. Waterfall, Agile).
• Cloud/Machine language knowledge would be added advantage.

Additional relevant skills:

• Ability to work with a wide range of stakeholders and convert abstract ideas into actionable requirements
• Ability to work with ambiguous situations and uncertainty
• Out of the box thinking to solve real world problems
• Should be able to juggle between multiple priorities efficiently
• Ability to encourage and inspire team to help realise their potential, providing knowledge and guidance to all team members as required.
• Work collaboratively with teams across different geographic locations and contribute to Machine Learning capability.
• Good presentation skills – Should be able to present findings and insights in a manner understandable to business.

This role is based in Pune. 

Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific and any changes must be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or any employment offer being withdrawn at any time.