Data Scientist

We are looking for Data Scientist for our client in

Washington, DC Job Title:

Data Scientist Job Location:

Washington, DC Job Type:

Contract Job Overview:

Design, build, and optimize Generative AI, large language models, and multimodal foundation models for enterprise fintech applications. Fine-tune and adapt open-source and proprietary models for various use cases. Build high-performance models for natural language processing, document intelligence, anomaly detection, risk scoring, predictive analytics, and decision-making applications. Lead experimentation to evaluate model accuracy, scalability, and fairness. Collaborate with engineering teams to deploy models on cloud-based machine learning pipelines and data platforms. Work with large-scale structured and unstructured datasets across financial and payments ecosystems. 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 proof-of-concept initiatives and innovation efforts to enhance AI capabilities and product differentiation.

Responsibilities:

Design, build, and optimize advanced AI and machine learning models. Fine-tune and adapt models for enterprise applications. Conduct experiments to evaluate model performance and fairness. Deploy models using cloud-based ML pipelines and data platforms. Work with large-scale structured and unstructured datasets. Implement monitoring, drift detection, and retraining strategies. Evaluate emerging AI technologies and frameworks. Drive innovation initiatives and proof-of-concept projects.

Should Have:

Experience working in fintech, payments, banking, or fraud and risk environments. Background in vector databases, retrieval-augmented generation pipelines, and knowledge graph integration. Experience with data privacy, model governance, and responsible AI frameworks. Contributions to open-source AI or machine learning communities or research publications.

Skills:

Strong proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow. Experience with transformer architectures, transfer learning, and model fine-tuning. Experience with cloud ML platforms, containerization, and MLOps tools. Solid understanding of statistical modeling, optimization, and evaluation methodologies. Strong communication and collaboration skills in cross-functional environments.

Qualification And Education:

Master s or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field. 8+ years of hands-on experience building and deploying machine learning models in production.