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Lead the design and optimization of scalable Data Lakehouse architectures and ETL pipelines using SQL, Python, PySpark, and AWS/GCP to power AI-driven cybersecurity solutions.
Leads AI product demand and governance for a global security solutions provider, aligning tech, business, and compliance to drive scalable AI-driven solutions across markets.
Own and evolve an internal AI platform, collaborating with data and engineering teams to enable scalable AI solutions through backlog management, stakeholder alignment, and Agile delivery.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
The ML Ops & LLM Ops Engineer will design and manage deployment architectures for AI solutions on AWS, focusing on CI/CD, infrastructure as code, and production-grade LLM/agentic application scaling. This role involves working as a forward-deployed engineer within enterprise client environments to ensure secure, observable, and efficient AI service delivery.
Principal ML Engineer builds and governs scalable, explainable matching models on AWS SageMaker, setting MLOps standards and ensuring regulatory-grade compliance for a global fintech platform.
The Software Engineer will design, build, and maintain complex AI-driven solutions within a feature team at NatWest. The role focuses on developing AI agents and deploying secure, high-performance software using AWS AI services, Python, Java, and various GenAI frameworks.
The Senior Data Scientist will build and deploy commercial machine learning models, such as churn prediction and propensity modeling, to drive revenue and customer retention. The role involves end-to-end model lifecycle management using Python, SQL, and AWS within a hybrid work environment.
Staff Engineer leading an applied AI team to take models from prototype to production across restaurant operations, digital ordering, and supply chain using Python, ML frameworks (PyTorch/TensorFlow), LLMs, AWS SageMaker/Bedrock, and modern data platforms.
Develops and maintains a government Investment Data Warehouse platform with AI/ML and GenBI capabilities, focusing on data modeling, ETL pipelines, and analytics dashboards using Snowflake, AWS, and React.
The Front-End/Full-Stack Developer will build and maintain analytics dashboards and AI-driven data warehouse solutions for public sector clients. The role focuses on UI/UX design, GenAI integration, and data visualization using technologies like React, Streamlit, Chainlit, and cloud-based AI services.
The Solution Architect will design and advance an Investment Data Warehouse platform, integrating Generative AI, machine learning, and automated decision-making tools within AWS and Snowflake ecosystems. The role involves technical leadership, prompt engineering, and building scalable, secure data pipelines for public sector clients.
Senior DevOps Engineer on Caterpillar's Cat Digital team, enabling developer teams by providing DevOps tooling, CI/CD pipeline support, and AWS cloud infrastructure guidance using IaC.
We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your…
The Machine Learning Engineer will design, build, and deploy production-grade machine learning and GenAI systems, including LLM integration and RAG pipelines. The role involves working across the full ML lifecycle, from data exploration and model training to MLOps and cloud-based deployment on AWS.
Lead AI/ML technical architect responsible for designing, developing, and deploying AI/ML models and systems for CMS, with hands-on development using Python, TensorFlow/PyTorch, and AWS, while ensuring cybersecurity and data governance compliance.
The Applied Scientist will develop and deploy machine learning models and predictive algorithms to detect and mitigate security threats across AWS infrastructure. The role involves analyzing large-scale security data, building data pipelines, and working with LLM agent pipelines to enhance cloud security.
Build and deploy ML models to detect fraud and abusive behavior on Chewy’s e-commerce platform, partnering with teams to turn data into actionable insights and scalable solutions.
Design and deploy enterprise AI/ML solutions on the Snowflake native stack (Cortex, Model Registry), perform root cause analysis on complex distributed systems, mentor architects, and align technical roadmaps with business outcomes.
Builds and scales production ML systems for Warner Bros. Discovery’s media brands, focusing on identity resolution, audience intelligence, and content affinity. Owns end-to-end ML pipelines, feature stores, and agentic AI workflows on Databricks/Snowflake/AWS to drive advertising yield, personalization, and engagement.
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