Remote AI Data Scientist — ML & GenAI Pipelines

Expert Technical Solutions; EE. UU.; A distancia; USD 90.000 - 140.000; Jornada completa

Descripción de la vacante

Expert Technical Solutions has an immediate opening for a Data Scientist with a premier client in the financial services sector. This 6-month contract with extension potential is fully remote from home.

You will design, build, and operationalize intelligent data systems powering ML and AI-driven product capabilities. The Data Scientist partners with Product, BI, and Data Engineering teams to establish data science standards, architect scalable AI systems, and deliver measurable business impact

Formación

• Minimum of 3-5 years of designing, building, and operationalizing end-to-end data, ML, NLP and AI systems in production environments.
• Sound knowledge of machine learning lifecycle from data gathering and data preparation to model deployment, monitoring and iteration.
• Strong programming skills in Python & SQL; production-quality code experience.
• Hands-on experience with LLM-based systems (e.g., RAG architectures, prompt engineering, model evaluation, API integration).
• Exposure to cloud AI/ML services and modern data platforms (Databricks, AWS Bedrock, AWS SageMaker).
• Experience integrating external AI/LLM APIs and building operational AI services.
• Strong software engineering fundamentals including CI/CD, testing practices, and containerization.
• Strong analytical and problem-solving skills; translate business requirements into AI/data solutions.

Responsabilidades

• Deliver actionable, data-driven insights and reporting to inform business decisions and evaluate performance across products, operations, and AI systems.
• Design and maintain scalable data-to-AI pipelines covering ingestion, transformation, feature/prompt engineering, model training, orchestration, deployment, and monitoring.
• Deliver AI-driven solutions that measurably improve key product or operational metrics (e.g., revenue uplift, cost reduction, customer satisfaction, latency).
• Partner with Data and Product to identify and execute AI opportunities aligned with strategic objectives.
• Establish and enforce AI and machine learning governance and best practices across the organization.
• Build reliable experimentation frameworks to validate model performance and business impact and drive iterative improvements.
• Own the scalability, robustness, observability, optimization and operational excellence of production AI systems and data pipelines.
• Develop scalable data pipelines, data models and feature engineering workflows; implement ML Ops practices including CI/CD, model versioning, monitoring, and retraining.
• Design model-serving APIs and ensure system reliability and performance.
• Transition workloads from on-premise to AWS/Azure environments as needed.
• Design and analyze A/B tests and experiments to validate model and product performance.
• Provide business insights derived from data to guide product and strategic decisions.

Conocimientos

Python

SQL

ML lifecycle

Data analysis

Problem solving

LLM integration

Herramientas

Databricks

AWS Bedrock

SageMaker

CI/CD

Docker

LLM APIs

Descripción del empleo

Expert Technical Solutions has an immediate opening for a Data Scientist with a premier client in the financial services sector. This 6-month contract with extension potential is fully remote from home.

You will design, build, and operationalize intelligent data systems powering ML and AI-driven product capabilities. The Data Scientist partners with Product, BI, and Data Engineering teams to establish data science standards, architect scalable AI systems, and deliver measurable business impact