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Part of Caesars Entertainment, ZeroFlucs creates the software that makes the sports betting industry tick Same-Game pricing, content generation, odds aggregation and trading automation. Role Description We're…
MLOps Engineer maintaining large-scale ML feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop, while refactoring ML codebases and collaborating on compute capacity planning.
Job Summary We seek an experienced and forward-thinking Software & AI Manager to lead the design, development, and deployment of high-impact software and AI-driven solutions. This role requires a blend of hands-on…
¡En Ayesa Digital crecemos Contigo! Cada profesional de nuestra empresa es importante para nosotros, nos ayudan a crecer de manera diversa y gracias a ellos somos más de 11.000 personas trabajando con el mismo objetivo…
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The Senior Data Scientist will design and deploy machine learning and generative AI solutions to solve complex business challenges at WestJet. This role involves end-to-end model development, from data engineering and feature creation to production deployment and executive-level communication.
Senior Data Scientist building and evaluating ML models (regression, classification, forecasting) using SQL and Python, delivering end-to-end data science solutions for TCS's AI CoE in Toronto.
Staff ML Engineer on Okta's Generative AI team, architecting and deploying production LLM/GenAI systems including RAG workflows, agentic applications, and LLMOps pipelines using Python, Claude-based systems, and modern AI agent frameworks.
Senior Data Scientist at WestJet-Airline in Calgary, Canada. Works on data-driven decision-making, develops advanced analytics and AI solutions, and collaborates with cross-functional teams using Python, SQL, machine learning, generative AI, and cloud platforms like Snowflake.
Senior Data Scientist supporting TCS's AI CoE with end-to-end data science solutions—building and evaluating regression/classification models using SQL and Python, with exposure to Azure, Databricks, and MLflow in Toronto.
Design, build, deploy, and scale production-grade AI/ML and GenAI solutions for Manulife's Long-Term Care program using Python, Azure, Databricks, MLOps/LLMOps frameworks, and LLMs.
Architect and deploy end-to-end AI/ML solutions on Microsoft Azure, including data pipelines, MLOps, vector indexes, and retrieval-based AI systems for enterprise clients.
Join Our Data Engineering Talent Network Data Science Engineers (3+ Years Experience) Are you a data professional who thrives on solving complex problems and working with large-scale datasets? We're building a…
Senior Data Engineer builds and scales real-time streaming pipelines and ML data platforms handling 100,000+ predictions per second for a global adtech platform.
Designs and builds data models, pipelines, and analytics foundations for Relay’s Last Mile logistics AI systems, ensuring real-time operational decisions and strategic insights while collaborating with cross-functional teams.
Senior Consultant applying data science, AI, and analytics to healthcare and life sciences commercial challenges—building predictive models, supporting AI solutions, and delivering client-ready insights using Python, SQL, and ML techniques.
Staff ML Engineer architecting and deploying production GenAI systems (LLM-powered features, RAG workflows, agentic apps) on a team building AI-powered identity/security infrastructure, primarily using Python.
4-month co-op on an AI & Enterprise Applications team, designing and developing software applications and AI/ML solutions using Python/C#/.NET/Java, cloud platforms (Azure), and ML frameworks like TensorFlow and PyTorch.
Design and deploy production-scale GenAI systems, including RAG pipelines, agent frameworks, and evaluation workflows, to power secure AI-powered identity features.
4-month co-op on the AI & Enterprise Applications team helping design, develop, and deploy software and AI/ML solutions using Python, C#/.NET, Java, TensorFlow/PyTorch, and Azure.
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