As a Principal AI/ML Engineer, you will play a foundational role in designing, building, and scaling production-grade machine learning platforms for a global leader in payments and financial technology.
This is a high-impact leadership opportunity for an experienced engineering professional who thrives on driving innovation in AI/ML infrastructure, distributed systems, and data platforms.
You will define the technical roadmap, lead implementation, and collaborate with cross-functional teams to operationalize real-time ML services at scale.
Responsibilities include architecting and leading the development of scalable AI/ML infrastructure and services across the enterprise.
You will drive innovation in platform design, data engineering, observability, and ML system performance.
You will lead end-to-end initiatives—from strategy to deployment—ensuring production-grade quality, security, and reliability.
Collaborating with Data Science, Security, Product, and SRE teams to deploy and monitor ML models (including LLMs and RL approaches) is essential.
You will champion modern engineering practices including CI/CD, Infrastructure as Code (Terraform, Kubernetes), and metrics-driven operations.
Mentoring engineering talent and promoting a high-performing, inclusive, and experimentation-driven culture is a key aspect of the role.
You will influence key architectural decisions and ensure the long-term scalability and maintainability of AI/ML systems.
Requirements:
You must have 15+ years of software engineering experience with significant expertise in backend systems and machine learning infrastructure.
Hands-on experience with Spark, Ray, Kubernetes, Terraform, and AWS services such as EMR, S3, and Lambda is required.
Proficiency in Java or Python is necessary, and you should be comfortable contributing to the codebase when needed.
Proven experience deploying ML systems in production—spanning supervised/unsupervised models, reinforcement learning, or large language models (LLMs) is essential.
A track record of designing ML platforms and data pipelines in large-scale, cloud-native environments is required.
You must demonstrate the ability to mentor, lead, and collaborate cross-functionally at the enterprise level.
Strong communication and stakeholder influence skills are necessary for this position.
Benefits:
The salary range for this position is $230,000 – $295,000, plus a bonus and RSU.
A comprehensive benefits package is included, subject to eligibility.
The compensation offered will depend on various factors, including location, experience, education, and job-related skills.
