Fintal Partners · 5 hours ago
Senior Machine Learning Engineer (MLOps)
New York, NY
Full-time
Hybrid
Senior Level
$500K/yr - $1,500K/yrFintal Partners is building a dedicated Machine Learning Infrastructure group to support and scale advanced research and trading models across the firm. The role involves designing and maintaining end-to-end ML infrastructure, developing scalable systems, and partnering with ML Researchers for efficient model production.
Financial Services
Hiring Manager
Christopher Atiyah
Responsibilities
Design, build, and maintain end-to-end ML infrastructure for training, evaluation, and production inference
Develop scalable systems for distributed training, model serving, and experiment management
Optimize GPU-based pipelines for high-throughput and low-latency workloads
Partner closely with ML Researchers to productionize models efficiently and reliably
Build tooling for model lifecycle management: data ingestion, feature pipelines, versioning, monitoring, and retraining
Ensure systems meet the latency, reliability, and scalability requirements of high-frequency trading
Qualification
Required
Strong experience building ML infrastructure or large-scale data/compute systems
Deep knowledge of GPU systems, distributed computing, and performance optimization
Hands-on experience supporting deep learning models in production at scale
Expertise in Python and systems-level languages (e.g. C++, Rust, Go)
Strong understanding of modern ML frameworks (e.g. PyTorch, JAX) from an infrastructure perspective
Background from top-tier trading firms or large-scale tech companies
Strong computer science fundamentals (systems, networking, concurrency)
Preferred
Experience building low-latency or real-time systems
Exposure to LLMs or large transformer-based models at scale
Familiarity with Kubernetes, custom schedulers, or internal compute platforms
Experience working alongside research-heavy ML teams
Company
Fintal Partners
Fintal Partners is a boutique executive search firm specializing in the placement of elite talent within the U.S. capital markets.
Founded in 2020
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase