Data Scientist

Valiant Technologies LLC; Washington (District of Columbia); Presencial; USD 120.000 - 190.000; Jornada completa

Descripción de la vacante

Valiant Technologies LLC is seeking a Senior Data Scientist to design and deploy enterprise-grade AI/ML applications in the fintech/payments space. You will build and fine-tune foundation models, and lead experiments to ensure accuracy and fairness.

The role emphasizes cloud deployment, scalability, and responsible AI practices, with collaboration across engineering and data teams to operationalize cutting-edge techniques.

Formación

• Bachelor's or Master's in CS/DS/ML/AI or related field.
• 5+ years of hands-on ML model development and production deployment.
• Proven expertise with LLMs, transformer architectures, and fine-tuning.
• Strong Python and ML libraries (PyTorch or TensorFlow, Transformers).
• Experience with cloud ML platforms and containerization (Docker/Kubernetes).

Responsabilidades

• Design, build, and optimize Generative AI, LLM, and multimodal foundation models for fintech applications.
• Fine-tune/open-source and proprietary models; build NLP, document intelligence, anomaly detection, risk scoring, predictive analytics and decisioning use cases.
• Lead experiments to evaluate model accuracy, scalability, and fairness; deploy models on cloud ML pipelines (Azure, AWS) and data platforms (Databricks & Snowflake).
• Work with large-scale structured and unstructured datasets across payments and financial ecosystem; monitor drift and retraining strategies.
• Evaluate new AI technologies and responsible AI frameworks; drive POCs and innovation initiatives.

Conocimientos

Python

PyTorch

Transformers

Cloud ML platforms

Docker/Kubernetes

MLOps

Statistical modeling

Fine-tuning

Educación

Bachelor's or Master's in CS/DS/ML/AI

Herramientas

Databricks

Snowflake

Docker

Kubernetes

Descripción del empleo

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.