Job ID: JOB_ID_4917
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
- Masters 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.
Special Requirements
Visa constraints: Only with PP Number. Interview modes: Not specified. Domain restrictions: Fintech, payments, banking, or fraud/risk environments preferred. Screening steps: Not specified.
Compensation & Location
Salary: $150,000 – $200,000 per year
Location: Washington, DC
Recruiter / Company – Contact Information
Email: raj.mahra@sparinfosys.com
Recruiter Notice:
To remove this job posting, please send an email from
raj.mahra@sparinfosys.com with the subject:
DELETE_JOB_ID_4917