AI Developer Job in Pune at Barclays

Barclays is hiring for the role of AI Developer!

Responsibilities of the Candidate:

• Build Engineering:  Development, delivery, and maintenance of high-quality infrastructure solutions to fulfil business requirements ensuring measurable reliability, performance, availability, and ease of use. Including the identification of the appropriate technologies and solutions to meet business, optimisation, and resourcing requirements.
• Incident Management: Monitoring of IT infrastructure and system performance to measure, identify, address, and resolve any potential issues, vulnerabilities, or outages. Use of data to drive down mean time to resolution.
• Automation:  Development and implementation of automated tasks and processes to improve efficiency and reduce manual intervention, utilising software scripting/coding disciplines.
• Security: Implementation of a secure configuration and measures to protect infrastructure against cyber-attacks, vulnerabilities, and other security threats, including protection of hardware, software, and data from unauthorised access.
• Teamwork:  Cross-functional collaboration with product managers, architects, and other engineers to define IT Infrastructure requirements, devise solutions, and ensure seamless integration and alignment with business objectives via a data driven approach.
• Learning: 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.

Requirements:

• Programming and Software Development: Develop and maintain AI models and algorithms using programming languages such as Python, R, Java, and C++.
• Software Engineering: Apply software engineering principles, including distributed computing, time-frequency analysis, UNIX tools, and advanced signal processing techniques
• Problem-Solving and Critical Thinking: Solve complex problems both autonomously and as part of a team, ensuring that AI solutions are robust and effective.
• Code Transformation and Refactoring: Translate legacy code into modern programming languages, refactor existing code to align with cloud-native principles, and optimize performance.
• Data Transformation and Schema Conversion: Generate scripts for data transformation, ensuring compatibility between source and target database schemas.
• Automated Test Case Generation: Analyze application code, user stories, and requirements to automatically generate comprehensive test cases.
• Self-Healing Test Scripts: Identify changes in the application under test and automatically update test scripts.
• Automated Data Validation: Automate data cleansing and validation processes, detecting inconsistencies and errors in migrated data