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Lead design, development, and deployment of AI applications (LLMs, RAG pipelines, agents) using Python and Java with cloud-native architectures at Bank of America, driving data-driven insights and revenue across business domains.
Hearst, one of the world's leading diversified media and information services companies, is seeking an experienced individual to support the Senior Vice President, Public Affairs and Communications. In this role,…
Why GM Financial? GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, TX. We are a global provider of auto finance solutions, with operations in North…
Job Overview: McDermott is seeking an experienced Technology Manager, Artificial Intelligence Infrastructure to lead the strategy, architecture, deployment, governance, and operations of enterprise AI infrastructure…
Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that success comes from focusing on people, not profits? Our “people helping people” philosophy…
Testing all aspects of the product/system including function/component, system, performance, regression and service, integration, API, and user acceptance testing Setting up of test environments, designing test plans,…
It's fun to work in a company where people truly BELIEVE in what they're doing! Role Summary The Executive, Marketing is responsible to support and execute integrated marketing initiatives that strengthen brand…
Position Summary: The NOC Operations Manager provides strategic leadership and day-to-day oversight of a 24x7 Operations team responsible for ensuring the secure, timely, and accurate processing of critical financial…
This role involves designing and implementing AI governance frameworks and security controls within a Federal Government environment, focusing on Microsoft 365 security and risk management. The engineer will assess AI solutions for security and compliance while monitoring for emerging AI-specific threats.
Lead Data Engineer designing, building, and scaling data pipelines, APIs, and AI-ready data solutions for Fitch Group’s financial services platform. Focuses on cloud (AWS), data governance, and AI/ML tooling (LLMs, RAG, vector databases) to empower business decisions.
Lead AI Engineer designing and operationalizing next-gen agentic AI systems for a financial institution, focusing on LLM architectures, RAG pipelines, and SRE for secure, compliant banking automation.
Business Unit: Store Support Centre (SSC) Time Type: Full-time Description & Requirements Who we are lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits.…
Overview AI / ML Engineer role at BPM LLP BPM – where caring and community is in our company DNA; we are always striving to be our best selves and we’re compelled to ask the questions that lead to innovation. Working…
AI/ML Engineer at lululemon designing and implementing end-to-end ML systems across the full model lifecycle—training, deployment, and monitoring—using Python, PyTorch, distributed training frameworks, and cloud ML platforms like SageMaker, Vertex AI, and Azure ML.
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.
About Signant Health At Signant Health, we help bring life-changing treatments to patients faster. We are a global evidence generation company that supports clinical trials with smart technology, scientific expertise,…
Location: Greater London,England,United Kingdom Sales Support Analyst Department European Revenue Location London Reports To Head of Revenue, UK About IBISWorld IBISWorld is the world's largest provider of industry…
The Principal Data Engineer leads the Data Enabling team at UCL, designing and implementing data flows and integrations to support analytics and business intelligence. The role involves working with cloud and on-premise platforms like AWS, Azure, and Fabric to modernize university data infrastructure.
The Data & AI Engineer will design and optimize scalable data solutions and ETL/ELT pipelines using Snowflake, Python, and cloud platforms. The role involves leveraging generative AI tools like Claude and Microsoft Copilot to accelerate development and improve business process automation.
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