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Chase · 3 months ago

Sr Lead Software Engineer - Python, AI/ML

8181 Communications Pkwy Bldg F, Plano, TX, 75024, US

Full-time

Onsite

Senior Level, Lead/Staff

5+ years exp

Chase is a leading financial services firm, and they are seeking a Senior Lead Software Engineer to join their Enterprise Technology team. In this role, you will be responsible for developing and implementing innovative technology solutions, particularly in AI/ML, to support the firm's business objectives while ensuring software stability and security.

BankingFinancial Services

Responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

Develops secure high-quality production code, and reviews and debugs code written by others

Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Adds to team culture of diversity, opportunity, inclusion, and respect

Developing AI/ML solutions to address impactful business needs

Working with other team members to productionize end-to-end AI/ML solutions

Engaging in research and development of innovative relevant solutions

Qualification

PythonAI/ML solutionsCloud native experienceAutomation methodsAgile methodologiesNatural language processingSoftware Development Life CycleSoftware engineering concepts

Required

Formal training or certification on software engineering concepts and 5+ years applied experience

Advanced proficiency in one or more programming languages, including Python

Hands-on practical experience delivering system design, application development, testing, and operational stability

Proficiency in automation and continuous delivery methods

Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Practical cloud native experience

Solid coding level in Python, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects

Experience in the application of AI/ML to a relevant field

Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised

Good experience in natural language processing (NLP) and its applications