Data Scientist

Robotics Technologies; Washington (District of Columbia); Presencial; USD 150.000 - 210.000; Jornada completa

Descripción de la vacante

Robotics Technologies in Washington, DC is seeking a Senior Data Scientist to advance enterprise fintech AI, with focus on Generative AI, LLMs, and foundation models. You will design, fine-tune, and deploy models in cloud pipelines, work with large fintech datasets, and lead responsible AI practices.

This onsite contract role offers collaboration with cross-functional teams and opportunities to push state-of-the-art AI for payments.

Formación

• Bachelor’s or Master’s degree in CS/DS/ML/AI or related field.
• 5+ years of hands-on experience building and deploying ML models in production.
• Proven expertise with LLMs, transformer architectures, transfer learning, and 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.

Responsabilidades

• Design, build, and optimize Generative AI and foundation models for enterprise fintech.
• Fine-tune open-source and proprietary models for NLP, document intelligence, anomaly detection, risk scoring.
• Lead experiments to assess accuracy, scalability, and fairness; deploy models on Azure/AWS ML pipelines and data platforms.
• Work with large-scale structured and unstructured datasets across the payments and financial ecosystem.
• Implement model monitoring, drift detection, and retraining strategies.
• Evaluate and operationalize new AI technologies and responsible AI frameworks.
• Drive POCs and innovation initiatives to differentiate products.

Conocimientos

LLMs

Transformer architectures

Transfer learning

Python

PyTorch

TensorFlow

ML libraries (Transformers)

Data analysis

Statistical modeling

Educación

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, AI, or related field

Herramientas

Docker

Kubernetes

Azure

AWS

Databricks

Snowflake

Descripción del empleo

Robotics Technologies is hiring a Senior Data Scientist to support enterprise fintech artificial intelligence and machine learning initiatives, with a focus on Generative AI, LLMs, and foundation model development and deployment. This contract role is based onsite in Washington, DC.

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 to deliver high-performance solutions for NLP, document intelligence, anomaly detection, risk scoring, predictive analytics, and decisioning use cases.
• Lead experimentation to assess model accuracy, scalability, and fairness, and partner with engineering teams to deploy models on cloud-based ML pipelines (Azure, AWS) and 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 improve AI capabilities and support differentiation of products.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, AI, or a 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 in fintech, payments, banking, or fraud and 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.

Technologies

• Python
• PyTorch
• TensorFlow
• Transformers
• LLMs
• Transformer architectures
• Transfer learning
• Docker
• Kubernetes
• Azure
• AWS
• Databricks
• Snowflake
• MLOps tools