Senior Software Engineering Manager – Data and Automation, Machine Learning Operations

Responsibilities

• Act as Senior Software/Data Manager to drive ML Ops initiatives in the Bank.
• Define and execute the enterprise MLOps roadmap, selecting and integrating cutting‑edge tools for feature stores, model training, deployment, and monitoring.
• Partner directly with data science and application development teams to understand their challenges and provide elegant, scalable MLOps solutions.
• Establish and enforce best practices for model management, versioning, and security, ensuring our ML platform is both powerful and compliant.
• Provide technical guidance to onshore and offshore development teams, fostering a culture of excellence in MLOps.
• Stay ahead of the curve by evaluating new technologies (e.g., AWS Sage Maker, MLflow, Kubernetes) and incorporating them into our tech stack to maintain a competitive edge.
• Manage a group of software engineers/managers across multiple product lines.
• Oversee the talent management of engineering talent, including recruiting, mentoring, and enabling a culture of learning with a focus on engineering craftsmanship.
• Foster technological innovation, ensuring adoption of current trends, capabilities, and practices emerging in the market.

• Proven leadership experience in MLOps systems.
• Expertise with core MLOps capabilities.
• Solid understanding of machine learning principles and the end‑to‑end ML lifecycle platforms (e.g., MLflow, Kubeflow, or cloud‑specific services like AWS Sage Maker).
• Experience supporting development teams and collaborating with product vendors on issue resolution and security vulnerabilities.
• Dev Ops/Data Ops fundamentals: CI/CD (Jenkins, Git Lab CI), containerization (Docker, Kubernetes), and infrastructure as code (Terraform, Cloud Formation).
• Experience driving hybrid/on‑prem deployments using Open Shift (OCP) and Kubernetes, ensuring cost efficiency and high availability.
• Higher level education such as a Master’s degree, PhD, or relevant certifications is desirable.
• At least 8 years of industry experience.
• At least 5 years of prior management experience.