Machine Learning Engineer

Purpose of the role

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank’s data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. 

Accountabilities

• Identification, collection, extraction of data from various sources, including internal and external sources.
• Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
• Development and maintenance of efficient data pipelines for automated data acquisition and processing.
• Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
• Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
• Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

Analyst Expectations

• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

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 “Machine Learning 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 risk and control, change and transformations, business acumen, strategic thinking, and digital technology and as well as job-specific skillsets.

To be successful as a “Machine Learning Engineer”, you should have experience with:

Basic/ Essential Qualifications:

• Advanced working knowledge of big data technologies like Python, Pyspark, hive, MLiB & Hadoop eco system

• Strong knowledge of full Hadoop/Spark, ETL, Data modelling, Red Hat Openshift/aPaaS skills.

• Hands-on experience on services like AWS Glue, Sagemaker, Lambda, S3, EC2, ECR etc. and other general purpose services.

• Hands-on experience on creating and deploying web services using rest API and flask.

Desirable skillsets/ good to have:

• Experience/Knowledge on Generative AI using Bedrock, Opensearch, RAG, Vectorization

• Exposure to various cloud platforms like Azure, GCP and Databricks.

• Exposure with real-time and streaming applications.

• Exposure to CI/CD tools and  auto deployment pipelines.

This role will be based out of Pune.