Senior Data Scientist -12-17 years
Alpharetta, GA, US • Posted 5 hours ago • Updated 6 minutes ago

American IT Systems
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Job Details
Skills
- build
- Artificial Intelligence
- We are seeking a highly skilled Senior Data Scientist with expertise in Machine Learning
- Large Language Models (LLMs)
- foundation models
- and fine-tuning techniques. In this role
- you will architect
- and deploy advanced ML & AI solutions that power Fiservs next-generation products across payments
- fraud detection
- risk decisioning
- and financial data enrichment. This position is ideal for someone who is passionate about building enterprise-grade AI & ML applications and applying cutting-edge techniques to real-world financial and payments challenges.
Summary
Senior Data Scientist -12-17 years
2900 Westside Pkwy, Alpharetta, GA 30004- 3 days onsite
Role Summary
We are seeking a highly skilled Senior Data Scientist with expertise in Machine Learning, Artificial Intelligence, Large Language Models (LLMs), foundation models, and fine-tuning techniques.
In this role, you will architect, build, and deploy advanced ML & AI solutions that power Fiserv's next-generation products across payments, fraud detection, risk decisioning, and financial data enrichment.
This position is ideal for someone who is passionate about building enterprise-grade AI & ML applications and applying cutting-edge techniques to real-world financial and payments challenges.
Key Responsibilities
- Design, build, and optimize Generative AI, LLM, and multimodal foundation models for enterprise fintech applications.
- Fine-tune or adapt open-source and proprietary models
- Build high-performance models for NLP, document intelligence, anomaly detection, risk scoring, predictive analytics, and decisioning use cases.
- Lead experimentation to evaluate model accuracy, scalability, and fairness.
- Partner with engineering teams to deploy models on cloud-based ML pipelines (Azure, AWS) & data platforms (Databricks & Snowflake)
- Work with large-scale structured and unstructured datasets across the payments and financial ecosystem.
- Implement model monitoring, drift detection, and continuous retraining strategies.
- Evaluate and operationalize new AI technologies, foundation model architectures, responsible AI frameworks, and emerging research.
- Drive POCs and innovation initiatives that enhance Fiserv's AI capabilities and differentiate our products.
Required Qualifications
- Master's or PhD in Computer Science, Data Science, Machine Learning, AI, or related field.
- 5+ years of hands-on experience building and deploying machine learning models in production.
- Proven expertise with LLMs, transformer architectures, transfer learning, and model fine-tuning.
- Strong proficiency in Python, PyTorch or TensorFlow, and ML libraries such as Transformers.
- Experience with cloud ML platforms, containerization (Docker/Kubernetes), and MLOps tools.
- Solid understanding of statistical modeling, optimization, and evaluation methodologies.
- Strong communication skills and ability to collaborate in cross-functional, fast-paced environments.
Preferred Qualifications
- Experience working in fintech, payments, banking, or fraud/risk environments.
- Background in vector databases, RAG pipelines, and knowledge graph integration.
- Experience with data privacy, model governance, and Responsible AI frameworks.
- Contributions to open-source AI/ML communities or research publications.
- Dice Id: 91163020
- Position Id: 2026-214
- Posted 5 hours ago
Company Info
About American IT Systems
American IT Systems Staffing Fastest growing Recruitment firm helping clients hire the best quality candidates faster across the globe.
We provide services starting from Temporary Staffing & Permanent Recruitment to management consulting. We specialize in Technology, Product & Design hiring headhunting & sourcing passive resources using cutting edge technology & tools
Our Aim
Hiring and recruiting top talent can be a challenging, time-intensive process. Client organizations recognize the value in saving time, money and preventing unnecessary burden on internal staff by outsourcing certain hiring needs. It can also send a strong message to top professionals they will spare no expense in finding and hiring the best talent possible..

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