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# Sr. Data Scientist

- **Company:** Quantum Technologies
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $176,800.0
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Graph Database, Information Extraction, Python (Programming Language), Machine Learning, Natural Language Processing, Open Source Technology, Tensorflow, Azure Machine Learning, Pytorch, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Snowflake, Generative AI, Containerization, Scikit Learn, Kubernetes, Information Technology, Transformer Architectures, Data Management, Machine Learning Operations, Docker, Databricks
- **Published:** November 3, 2026
- **Apply:** https://www.dice.com/job-detail/405e8e03-59fc-4bd6-8b14-6ad3fb6be0a2

## About the Role

· Bachelors or Masters 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.

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.

## Description

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., · 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 AI capabilities and differentiate our products.