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Sr. Analytics Engineer Location: New York City Department: Data Pelago is the leading specialty substance use care provider, built on the belief that effective treatment means matching care intensity to what each…
Senior data scientist at Hertz building ML models and analytics to optimize pricing, fleet, ridesharing, and digital products using cloud-based big data and Python.
Senior ML engineer at Zalando’s Lounge by Zalando builds and scales personalization systems that rank campaigns across email, push, and on-site channels using ML pipelines, batch inference, and A/B testing.
Designs, builds, and deploys AI/ML and GenAI solutions for cloud applications, owning the full lifecycle from model development to MLOps and monitoring.
Lead a team to design, build, and deploy AI/ML models that transform market operations at a global bank, using Python, cloud platforms, and MLOps practices.
Design and evaluate cutting-edge AI models for a research initiative, focusing on machine learning and natural language processing tasks using Python and frameworks like PyTorch or TensorFlow.
Designs and deploys AI/ML algorithms for medical devices, analyzing physiological signals and clinical data to improve patient monitoring and disease detection.
Builds ML and statistical models to detect threats, prioritize vulnerabilities, and enrich security operations using Python, SQL, and Databricks for large-scale cybersecurity datasets.
Builds and deploys AI/ML and GenAI models for cloud applications using Python, PyTorch/TensorFlow, and MLOps tools like MLflow and Langfuse.
Build and maintain scalable data pipelines and cloud data infrastructure for a U.S. digital health platform, enabling analytics and clinical decision-making.
Analyzes email, SMS, direct mail, and app marketing channels to optimize campaigns and customer engagement using SQL, Python/R, and analytics tools like Tableau or Power BI.
Build and scale AI-powered identity-security systems using ML models, MLOps, and cloud-native pipelines to automate access decisions and detect anomalies for enterprise customers.
Designs and builds machine learning pipelines and APIs to detect anomalies in healthcare claims and pharmacy data using Python, unsupervised learning, and Oracle databases.
Amazon Search creates customer-focused product search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our systems go to work.…
Work Location: New York, New York, United States of America Hours: 40 Pay Details: 75,020.00 - 125,180.00 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth…
Job Description Job Title: Machine Learning Engineer Location: Mississauga Employment Type: Full-time Reason for Vacancy: Replacement Work Arrangement: Hybrid Department Name: Application Delivery Department Pay Typed:…
About the Role At NinjaOne, we’re looking for a skilled Senior Data Engineer to join the Analytics Platform and Data Science team to help enable product analytics and data science across NinjaOne’s expanding product…
Data Scientist Location: Ahmedabad, India Department: Engineering Experience: 2-4 Job Description We are looking for a Data Scientist to support the development of AI-driven features and applications across our product…
Build and optimize Ray’s distributed data-processing library (Datasets) to power large-scale ML pipelines, working with Apache Arrow, Ray Core, and ML libraries.
A data scientist at Toboggan Labs builds, trains, and deploys AI/ML models—including generative AI—while collaborating with cross-functional teams to solve complex problems across healthcare and other regulated industries using Python, cloud platforms, and distributed computing.
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