Senior Lead Engineer, Artificial Intelligence / Machine Learning

FIS

. Build and improve deep learning models on large-scale financial data, including sequence modeling, pretraining, and fine-tuning of transformer-based models.

Posted 11/4/2026full-timeRemote • New York • United StatesSenior💰 $173,680 - $295,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying deep learning models, particularly transformer-based models, while ensuring model explainability and compliance with regulatory standards. Proficient in collaborating with cross-functional teams to integrate models effectively and optimize for performance and cost.

Highest-signal resume keywords

Deep Learning Model DevelopmentPython ProgrammingTransformer Model Fine-TuningCloud ML Pipelines (AWS, Azure, GCP)Model Risk Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningMachine LearningSequence ModelingRepresentation LearningModel EvaluationGPU AccelerationQuantizationDistillationVersion ControlTesting

Soft Skills

CollaborationCommunication

Tools & Technologies

PyTorchMLflowSparkSnowflakeDatabricks

Industry Keywords

Financial ServicesPayments DataRegulatory ComplianceModel DocumentationModel Explainability

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchSnowflakeSpark

About the role

Key responsibilities & impact

Build and improve deep learning models on large-scale financial data, including sequence modeling, pretraining, and fine-tuning of transformer-based models.
Produce reusable, versioned embeddings and model artifacts that downstream teams can easily use.
Design models that generalize across tasks and datasets, and measure how well they perform on downstream problems.
Work with data and infrastructure engineers on training pipelines, data lineage, and reproducible experiments.
Work with serving engineers to optimize models for efficient, low-latency inference.
Build sound evaluation into the workflow, including time-based testing and imbalanced or delayed labels.
Support product and engineering teams as they integrate models, with clear documentation and interfaces.
Balance model quality against compute cost, and report results in terms of business impact.
Work with risk and governance partners so models are explainable, well documented, and meet regulatory expectations.

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
4+ years of experience building and deploying machine learning models in production.
Strong programming skills in Python and experience with modern deep learning tools such as PyTorch.
Hands-on experience pretraining, training, or fine-tuning transformer or other deep learning models on GPUs.
Experience working with large datasets and ML pipelines on cloud platforms (AWS, Azure, or GCP), with tools such as Spark, Snowflake, or Databricks.
Solid ML fundamentals, including representation learning, offline evaluation, handling imbalanced data, and choosing the right metrics.
Good engineering habits: version control, testing, reproducible experiments, and code that others can build on.
Ability to explain technical results clearly to non-technical audiences.
Strong collaboration skills and comfort working across engineering, product, and risk teams.
Experience with sequence modeling, self-supervised learning, or embedding models for tabular or event data.
Experience with financial services or payments data.
Experience with distributed training and GPU-accelerated ML frameworks.
Experience with inference optimization (quantization, distillation, batching) or real-time ML systems.
Experience with MLflow, model registries, feature stores, or other MLOps tools.
Experience working in a regulated environment, including model risk management and model documentation.

Benefits

Comp & perks

Opportunities to make an impact in fintech
Personal and professional learning
Inclusive, diverse work environment
Resources to give back to your community
Competitive salary and benefits