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Applied Artificial Intelligence & Machine Learning Engineer - Vice President
Chase- Candidate Experience page
Mumbai•On-site•8-11 Yrs•2 hours ago
Job description
Overview
Are you ready to play a pivotal role in revolutionizing the future of banking?
Responsibilities
- Developing and Delivering AI Solutions: Write and deliver high-quality code for AI-driven payments initiatives, ensuring robust and efficient solutions that meet business objectives.
- Collaborate Cross - Functionally: Work closely with Operations, Technology, and Product teams to address and solve complex problems, leveraging AI and ML technologies.
- Partnering with Global Team : Collaborate with global team members and leaders to deliver innovative solutions while fostering a culture of respect and inclusivity.
- Reviewing Code and Application Design: Conduct thorough code reviews and design new applications and services with a focus on reusability and scalability.
- Managing Codes end to end: Own and manage the entire code lifecycle, from development through to production deployment, ensuring seamless integration and operation.
- Maintaining Code Practices: Write clean, maintainable, and readable code that adheres to best practices and industry standards.
- Engaging with Stakeholders: Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs.
- Communicating on Projects: Provide clear and concise updates to project managers and program teams, ensuring transparency and alignment on project progress.
- Estimating Accurately: Deliver clear and realistic time and resource estimates that are critical for effective project planning and delivery.
- Testing Comprehensively : Ensure code quality through proper unit test coverage and support both functional and automated testing processes to guarantee reliable and high-performing solutions.
Qualifications
- Minimum 8 years of industry experience
- BE – Computers / IT or equivalent
- Projects delivery in AIML space for minimum 3 years
- Tech stack – python, pandas, flask, fastAPI, tensorflow, LLMs etc.