Senior Lead Engineer, Artificial Intelligence / Machine Learning

🔥 10 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $173.7k - $295.3k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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FIS

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1968

💼 Consulting

📦 Logistics

🛡️ Insurance

Consulting • Logistics • Insurance

FIS is a leading provider of technology solutions for financial institutions, businesses, and governments worldwide. It offers a comprehensive suite of banking, lending, and payment solutions designed to help entities thrive in the digital age. FIS focuses on providing advanced solutions that improve efficiencies, reduce costs, and enhance customer satisfaction by offering services such as digital banking, automated finance, wealth management, and payment processing. With its expertise in fintech, FIS powers the global economy by ensuring secure and efficient money management throughout its lifecycle, from storage and transfer to investment and compliance.

📋 Description

• 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

• 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

• 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

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