Position: Senior Data Scientist / AI Scientist (12 18 years' experience)
Location: Washington, DC
Work Mode: 100% Onsite 5 days a week (Mandatory)

Note: Please do not submit junior profiles for this position.

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Fiserv is looking for a Data scientist who has good Machine learning experience, with knowledge on Agentic AI, RAG, LLM and fine tuning.

Knowledge on Python and PySpark is a must.

Their work is in the Data Bricks and Azure environment.

Must have skills.
Machine Learning

Artificial Intelligence,

Large Language Models (LLMs)

Foundation Models
AgenticAI

RAG

AI/ ML
Python

Azure

Pyspark

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.

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.

• 8+ 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 modelling, 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.