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Lead a team to design, build, and deploy AI/ML models—especially LLMs and generative AI—for fraud prevention, identity verification, and financial crime compliance using Python, PyTorch, and cloud platforms.
Designs, builds, and maintains enterprise middleware and API integrations for a Fortune 500 title insurance and property data platform, using cloud-native tools and Agile practices.
Not just a job, but a career Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement,…
At 1st Central, everything starts with our people. As one of the UK’s leading motor and home insurers, we use smart technology, data and great service to make insurance fast, fair and simple for over 1.4 million…
Leads advanced analytics and machine learning for AstraZeneca Japan, building models to optimize commercial strategies, forecast patient populations, and evaluate interventions using real-world healthcare data.
Designs and builds production-grade AI/ML architecture blueprints and open-source solutions for enterprise clients in APAC, focusing on scalable, secure, and compliant systems using Python, PyTorch, and Kubernetes.
Job description in French (English version at the bottom) Lead Data Scientist Localisation : Paris, France LexisNexis Risk Solutions est un leader mondial dans le domaine de la technologie et de l’analyse de données,…
HYBRID: This is a hybrid position and must be located within 100 miles of any of the Mayo Clinic campuses for on-site expectations based on business needs. The Revenue Cycle Application Analyst III has the primary…
If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place. As a Principal Software Engineer at JPMorganChase within the Asset…
Be the one building AI-powered experiences where they matter most At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems,…
Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you,…
The Opportunity We are the movers of the world and the makers of the future. The Integrated Services team at Ford is developing connected, digital platforms that will revolutionize how vehicles function. You will join…
Salary Range: €66,918.00 - €104,400.00 Job Description Summary #LI-Hybrid As DAP Manager (Data, AI, Analytics & Platforms), you will act as the local technical expert for data, analytics, automation and AI within…
The KYC Operations Manager is an intermediate management-level position responsible for providing full leadership and direction to a team of employees to provide Anti-Money Laundering (AML) monitoring, governance,…
Career Category Information Systems Job Description Join our team at AMGEN Capability Center Portugal , consistently recognized among the top companies in the Best Workplaces™ ranking by Great Place to Work® in…
Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing…
Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging…
Job Description What is the opportunity? We're looking for a talented Senior AI Engineer with deep expertise in Python programming and applied AI systems who will drive the design and implementation of…
Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to…
Internship role for university students to develop data-driven solutions using generative AI, machine learning, and analytics in a collaborative team environment.
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