Math Engineering Jobs in Atlanta, GA (NOW HIRING)

Job Summary:
Worldpay is seeking an experienced and visionary ML Software Engineering Lead to serve as the technical and functional leader for the Data Science Enablement engineering function. The role involves defining the technical strategy, establishing engineering standards, mentoring engineers, and collaborating with cross-functional teams to ensure the successful deployment and operation of ML products.
Responsibilities:
• Define the technical vision and strategy for ML software engineering initiatives, aligning them with business goals.
• Develop scalable capabilities to power real-time decisioning engines throughout the payment lifecycle and beyond.
• Enable rapid experimentation while ensuring robust, scalable, and secure deployment of ML solutions.
• Establish and evolve engineering standards, operating practices, and technical governance.
• Mentor engineers, provide technical coaching, and promote technical excellence.
• Champion collaboration, continuous improvement, and knowledge sharing.
• Drive alignment across teams through technical influence, architectural guidance, and shared engineering standards rather than direct management authority.
• Identify capability gaps and drive improvements to tooling, automation, observability, and operational processes.
• Drive consistency in engineering practices and operational processes across teams delivering and supporting ML-powered products.
• Establish operational standards for production ML systems, including reliability objectives, observability, incident management, and support processes.
• Guide the architecture, implementation, deployment, and operation of ML products and reusable components.
• Ensure systems and components meet requirements for scalability, latency, explainability, and regulatory compliance.
• Establish and promote best practices for ML software engineering. Stay abreast of industry trends and emerging technologies to drive adoption of modern tools, frameworks, and infrastructure.
• Contribute to QA and code as needed.
• Partner closely with research-focused data science teams, business stakeholders, infrastructure support teams, data engineering teams, security/compliance teams, etc. to identify opportunities and incorporate ML into products and systems.
• Collaborate with other data science and engineering leaders to establish an operating model for machine learning R&D that optimizes end-to-end delivery of business value.
• Communicate complex technical concepts to non-technical stakeholders effectively.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (PhD a plus).
• 7+ years of ML software engineering, ML ops, ML engineering, or ML research experience.
• 5+ years of experience deploying large-scale, real-time ML models in customer-facing, production environments, including significant experience hands on.
• 2+ years of technical leadership experience on an early-stage ML software engineering team.
• 2+ years of data science research experience.
• Proven experience developing microservices at scale (API design, monitoring, deployment strategies, containerization) in a cloud environment (preferably AWS and DataBricks).
• Strong understanding of the data science/ML research process.
• Strong understanding of software engineering, MLOps, and DevOps best practices.
• Strong Python skills, including in relevant libraries such as Pandas, NumPy, scikit-learn.
• Proficiency in SQL and NoSQL databases.
• Excellent communication, leadership, and stakeholder management skills.
Preferred:
• Experience in a merchant acquiring, payment service provider, or card network environment.
• Familiarity with tokenization, real-time payments, and the authorization lifecycle.
• Experience in a large, complex organization in a highly regulated industry.
• Experience working in an agile environment.
Company:
Worldpay is a global payment processing company offering secure, scalable solutions for online, in-store, and mobile transactions. It is a sub-organization of Global Payments. Founded in 1971, the company is headquartered in Cincinnati, USA, with a team of 5001-10000 employees. The company is currently Late Stage.