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At YuJa, we are on a mission to equip regulated sector clients with solutions to deliver compliant digital experiences. We integrate AI thoughtfully to support smarter decisions and create more inclusive, user-centric…
Build and deploy AI models and systems for Amgen’s AI Studio, turning business challenges into scalable AI products using Python, SQL, GenAI, RAG, and cloud-native tools.
Designs and evaluates scalable machine learning architectures for a large U.S. bank, guiding adoption of cloud-based ML platforms and MLOps practices to enable predictive modeling and AI-driven financial solutions.
The Data Scientist III leads the end-to-end development and deployment of production-grade machine learning models for customer intelligence and behavioral prediction. The role involves mentoring team members and collaborating with engineering and MLOps teams to deliver scalable analytical solutions within a financial services environment.
The Data Scientist II will build, validate, and deploy machine learning models for customer intelligence and behavioral prediction within the financial services sector. The role involves collaborating with senior team members and MLOps engineers to deliver production-grade models using Python, SQL, and cloud-based ML platforms.
The Lead AI/ML Engineer will design and deploy LLM-powered AI agents for payment processing while establishing AI development lifecycle (SDLC) and MLOps best practices. The role involves mentoring team members and collaborating across departments to deliver scalable AI solutions using Python and modern ML frameworks.
Builds predictive models and real-time analytics to optimize solar PV and BESS plant performance, focusing on generation forecasting, fault prediction, and operational efficiency.
Poszukujemy doświadczonego Data Scientista , który chce rozwijać zaawansowane rozwiązania personalizacyjne w dynamicznym środowisku produktowym. Jeśli masz doświadczenie w personalizacji, rekomendacjach, segmentacji…
Data Scientist at Askuity (Home Depot division) designing and deploying ML models, GenAI/RAG solutions, and analytics pipelines on GCP/Vertex AI to power retail and supplier decision-making.
The Senior Data Scientist will design and deploy end-to-end decision science systems, including forecasting, recommendation engines, and optimization models, within a hybrid-remote environment in Toronto. The role involves working with Python, PyTorch, and TensorFlow to build production-grade data products for the lottery and gaming industry.
The Senior Data Scientist will develop and implement machine learning and generative AI solutions, including RAG applications and LLM fine-tuning, to drive business insights at Manulife. The role involves collaborating with cross-functional teams to deploy models on cloud platforms like Azure and Databricks.
The Data Scientist will collaborate with stakeholders to identify business needs and develop predictive models using Python, machine learning frameworks, and big data technologies. The role involves conducting exploratory data analysis and deploying data-driven solutions to optimize business processes.
Location San Francisco, CA, Toronto, ON, US, Remote Employment Type Full time Location Type Hybrid Department Technology Data Science and AI Compensation San Francisco $170K – $190K • Offers Equity Overview This Senior…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft…
Lead the design, development, and deployment of AI and ML models and systems, focusing on scalability, reliability, and performance. Collaborate with cross‑functional teams, including data scientists, software…
About Kindsight Kindsight builds technology that helps fundraisers make a difference. For decades, Kindsight has supported the education, healthcare, and nonprofit sectors with fundraising tools and the largest…
AI Engineer designing and productionizing enterprise-grade AI/ML and Generative AI solutions on Snowflake (Cortex), using Python, SQL, and Azure in a 1-year hybrid contract in Toronto.
Staff Data Scientist/Engineer builds and deploys AI/ML systems for UKG’s workforce management platform, focusing on large-scale workforce data analysis, generative AI, and agent-based workflows to drive measurable business impact.
Senior Data Scientist at Pinterest leading Trust & Safety and Content Quality measurement—designing sampling frameworks, prevalence tracking, and statistical methodologies using Python, SQL/Spark, and ML frameworks like PyTorch/TensorFlow.
Build and maintain data pipelines and manage the lifecycle of data and AI models on the Chief Protection Officer's team, using Python, PySpark, SQL, and cloud platforms to support business intelligence and advanced analytics.
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