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Barclays
Design, develop, and improve high-quality, scalable software solutions using various engineering methodologies, collaborating cross-functionally to define requirements and ensure seamless integration, while adhering to secure coding practices and contributing to AI/ML lifecycle concepts.
Requires basic to intermediate Python, foundational ML concepts, Git, CI/CD, cloud exposure (AWS), containerization, and willingness to learn AI/ML lifecycle and Generative AI concepts.
Purpose of the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Accountabilities
Analyst Expectations
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 Barclays as a Data & AI Engineer role, where you will support the enhancement of processes, reporting, and controls while contributing to the execution of BAU activities. At Barclays, we don't just anticipate the future - we're creating it.
To be successful in this role, you should have below skills:
Basic to intermediate programming skills in Python.
Foundational understanding of machine learning concepts and exposure to libraries such as scikit-learn, TensorFlow, or PyTorch.
Familiarity with Git-based version control systems (e.g., GitHub, GitLab).
Basic understanding of CI/CD concepts (e.g., Jenkins or GitHub Actions).
Exposure to cloud platforms (preferably AWS – S3, EC2, Lambda or similar services).
Basic understanding of containerisation concepts (Docker preferred).
Understanding of software engineering principles such as modular design, code readability, and testing.
Willingness to learn AI/ML lifecycle concepts, including model development, training, and deployment.
Some other highly valued skills may include below:
Exposure to data processing tools or platforms such as Snowflake, Databricks, or basic SQL.
Familiarity with data engineering concepts (e.g., ETL pipelines, Airflow, or Spark basics).
Awareness of Responsible AI principles, model interpretability, and governance fundamentals.
Exposure to Generative AI concepts, including prompt engineering or frameworks like LangChain.
Basic knowledge of API development and integration concepts.
Understanding of DevOps fundamentals and software delivery pipelines.
Strong problem-solving mindset and eagerness to learn new technologies.
Good communication and collaboration skills.
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 office.
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AI Est. Total Comp
$15,800
Location
Pune, Gera Commerzone SEZ
Work Type
On-site
Seniority
mid
Experience
3-5 years
Category
ML Engineering
Visa Sponsorship
Unknown
41 H1B cases filed
Quality Score
0.5