Data Scientist

Ethereum Technologies; Washington (District of Columbia); Presencial; USD 150.000 - 190.000; Jornada completa

Descripción de la vacante

Ethereum Technologies is seeking a Senior Data Scientist to design, build, and optimize Generative AI and foundation models for enterprise fintech applications. You will fine-tune models, develop NLP and risk analytics capabilities, and lead experiments to ensure accuracy, scalability, and fairness.

Responsibilities include deploying models on cloud ML pipelines (Azure/AWS) and data platforms (Databricks, Snowflake), working with large datasets in payments and finance, and implementing

Formación

• Bachelors or Masters in Computer Science, Data Science, 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 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.

Responsabilidades

• 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, and risk analytics.
• Lead experiments to evaluate model accuracy, scalability, and fairness; deploy models on cloud ML pipelines (Azure, AWS) & data platforms (Databricks & Snowflake); work with large-scale datasets in payments/finance.
• Implement model monitoring, drift detection, and retraining strategies; evaluate new AI technologies and responsible AI frameworks.
• Drive POCs and innovation initiatives to enhance AI capabilities and differentiate products.

Conocimientos

Python

PyTorch

TensorFlow

Transformers

MLOps

Cloud Platforms

Docker/Kubernetes

Statistical Modeling

Educación

Bachelors or Masters in CS/DS/ML/AI

Herramientas

Databricks

Snowflake

Azure

AWS

Docker

Kubernetes

Descripción del empleo

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

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.