Data Scientist

Machine Learning Technologies, LLC; Washington (District of Columbia); On-site; USD 150,000 - 210,000; Full time

Job summary

Machine Learning Technologies, LLC in Washington, DC is seeking a Senior Data Scientist to design and deploy enterprise AI/ML systems. You will lead development of LLMs, foundation models, and fine-tuning for fintech applications, collaborating with engineering on cloud ML pipelines.

The role demands 5+ years in ML, strong Python and PyTorch/TensorFlow skills, and experience with Databricks, Snowflake, and containerization. Join a team building cutting-edge AI for real-world payments challenges.

Qualifications

• BS/MS in CS/DS/ML or related field.
• 5+ years building and deploying ML models in production.
• Proven expertise with LLMs, transformers, transfer learning, fine-tuning.
• Strong Python, PyTorch or TensorFlow, and Transformers libraries.

Responsibilities

• Design, build, and optimize Generative AI, LLM, and foundation models for fintech.
• Fine-tune open-source and proprietary models for NLP, document intelligence, anomaly detection, risk scoring, and predictive analytics.
• Lead experiments to evaluate accuracy, scalability, and fairness; deploy models on cloud ML pipelines.
• Collaborate with engineering on Databricks, Snowflake, and data platforms; work with large datasets.
• Implement monitoring, drift detection, and retraining strategies; explore new AI tech.

Skills

Python

PyTorch

TensorFlow

Transformers

ML libraries

NLP

ML concepts

Education

BS or MS in Computer Science / Data Science / ML / AI

Tools

Docker

Kubernetes

Databricks

Snowflake

Azure

AWS

Job 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.

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 AI capabilities and differentiate our products.

Required Qualifications:

• 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.
• Contributions to open-source AI/ML communities or research publications.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.