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Lead a team building AI models for document understanding, including image classification and text extraction from scanned healthcare documents using PyTorch, TensorFlow, and AWS SageMaker.
Build AI-driven insurance models using machine learning and advanced statistics to solve real-world customer and business problems in a cutting-edge R&D lab.
At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we…
Analyst builds Python/Excel tools and writes research notes on US Treasuries, TIPS, and Agency markets for JPMorgan’s front-office rates strategy team.
Build cloud-based data platforms and tools for biopharmaceutical R&D, using Python, JavaScript/TypeScript, React, AWS, and data stacks like Pandas and Airflow to accelerate drug development.
Analyze military data to extract insights, build dashboards in Tableau, and advise DoW clients on IT improvements using Python, SQL, and Databricks.
Lead data-pipeline and forecasting-model development to optimize clinical-trial operations using real-world health data, machine learning, and operations research.
FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who possesses a strong…
Lead generative AI and LLM projects for JPMorgan Chase, building retrieval-augmented systems, evaluations, and production pipelines using Amazon Bedrock and Cortex to improve banking operations.
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power research and insights.
Design, build, and deploy ML models and AI systems for a global talent marketplace, spanning data prep to production monitoring using Python, TensorFlow/PyTorch, and MLOps tooling.
Lead a team of data scientists to build predictive models and analytics for Caterpillar’s heavy equipment business, using machine learning and time-series forecasting to drive demand planning and aftermarket solutions.
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power generative AI applications in finance.
Build and maintain ELT pipelines for paid media data across 26+ ad platforms using GCP, dbt, and Python, ensuring scalable ingestion and transformation for global clients.
Build and optimize data pipelines and cloud infrastructure for automotive content platforms using Python, AWS, Databricks, and Kubernetes.
Analyze how AI is changing software development by designing surveys, crunching data in Python, and translating findings into actionable insights for tech leaders.
Maintain and optimize data pipelines and ETL workflows for a trading firm’s performance analytics, using Python, PySpark, and GitLab CI/CD.
Build and deploy ML models and data pipelines to drive lending decisions and product strategy using Python, SQL, and Snowflake.
Build and deploy ML models for fraud detection, recommendations, and personalization using Python, SQL, and scikit-learn in a collaborative product team.
Data Scientist/Analyst builds and refines analytical models using SQL, Python, and ML to extract insights from client data and deliver actionable recommendations.
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