ML Software Engineering Lead

ML Software Engineering Lead

We are seeking an experienced and visionary ML Software Engineering Lead to serve as the technical and functional leader for the Data Science Enablement engineering function, which owns the production development and ongoing operations of high‑profile ML products. The role balances strategic leadership with hands‑on technical contribution, guiding the technical vision and participating in architecture, design and code reviews.

Responsibilities

• Strategy and Vision
  • 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.
• Engineering and Operational Excellence
  • 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.
  • Identify capability gaps and drive improvements to tooling, automation, observability and operational processes.
  • Establish operational standards for production ML systems, including reliability objectives, observability, incident management and support processes.
• Technical Leadership and Contribution
  • 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.
  • Contribute to QA and code as needed.
• Cross‑Functional Collaboration
  • Partner closely with research‑focused data science teams, business stakeholders, infrastructure support teams, data engineering teams, security/compliance teams to 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

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering or 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.
• 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 relevant libraries such as Pandas, NumPy, scikit‑learn.
• Proficiency in SQL and NoSQL databases.
• Excellent communication, leadership and stakeholder management skills.

Bonus Skills

• 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.

Benefits

• Impact: Play a key role as the technical owner of high‑profile ML products delivering meaningful business impact.
• Autonomy: Take end‑to‑end technical ownership of your product area with freedom and responsibility.
• Collaboration: Work with a cross‑functional, high‑performing team where your expertise is valued.

Apply now to take your career global.

#J-18808-Ljbffr…