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Design and lead AI/ML architecture for aerospace and defense systems, including generative AI and MLOps, ensuring scalable, secure, and compliant solutions.
As an Applied Scientist II specializing in lead scoring and deep learning modeling, you will build and improve machine learning models that power how our business engages with customers. You will develop predictive…
Lead a cross-functional squad to define and deliver AI-driven personalization features for Natura’s commercial planning, aligning data science models with business goals and managing the product lifecycle from discovery to production.
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.
Build and deploy production-grade ML and LLM systems across multi-cloud, designing end-to-end pipelines and MLOps workflows with PyTorch/TensorFlow and cloud-native 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 maintain BI dashboards in Power BI/Tableau, analyze healthcare data, and partner with teams to turn complex datasets into actionable insights for a global medical technology company.
Build and optimize AI/ML models for extracting structured data from unstructured documents using NLP, computer vision, and LLMs, and deploy scalable ML pipelines for high-volume processing.
Build and deploy ML models to detect misdirected emails, handling data, features, experiments, and production monitoring for a security product.
Senior Data Engineer designs scalable data pipelines and modern data architectures for enterprise clients, enabling AI/ML use cases and analytics in cloud environments like Azure.
Build and deploy ML models to predict delivery dates, detect failures, and optimize logistics for 50M+ monthly shipments using Python, Spark, and cloud platforms.
Build and deploy scalable AI/ML models for predictive analytics in a BPO environment, collaborating with cross-functional teams.
Build and deploy ML models using Python, TensorFlow/PyTorch, and cloud tools; engineer features, optimize pipelines, and productionize AI systems with MLOps.
The Data Engineer will own the design, development, and optimization of the data infrastructure that underpins analytics, reporting, and machine learning initiatives across the credit union. Working closely with…
A data scientist builds predictive models and dashboards to optimize card campaigns and portfolio performance using Python, SQL, and Power BI.
A Data Scientist builds models and analyzes campaign data to optimize marketing strategies and portfolio performance for a fintech company in Indonesia.
Analyze business data end-to-end, build predictive models, and create dashboards to turn raw data into actionable insights and faster decisions.
Build and improve alternative credit-scoring models using Python, SQL, and ML libraries to assess borrower risk for a fintech startup.
Data Scientist analyzes payment and banking data to build models that optimize card campaigns, track portfolio performance, and uncover growth opportunities using Python, SQL, and Power BI.
Designs and builds AI/ML models (LLMs, generative AI, or computer vision) using frameworks like TensorFlow and PyTorch, integrates them into applications, and optimizes performance in production.
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