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Who We Are As Singapore's longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How By taking the time to truly understand people. From…
Thought Logic is looking for an Oracle EPM Sales Leader to help drive growth across our Oracle Enterprise Performance Management practice. This person will own the full sales cycle for Oracle EPM opportunities, from…
With just over 9 years of experience in the Portuguese market, we share our DNA with more than 200 workers and position our offer according to 3 lines of service: Strategy (Outsourcing, NeXel, Team as a Service, Tech…
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten countries, focusing on FinOps, zero-trust security, agentic AI infrastructure, and enterprise-grade observability.
Build and run a secure, multi-cloud AI platform for a bank, deploying services on AWS Bedrock, Databricks, Azure AI, Hugging Face and Kubernetes while optimizing costs, security and observability for enterprise-scale AI workloads.
Develops and improves machine learning models to detect and prevent cheating in Call of Duty using Python, PySpark, and deep learning.
Design and automate identity controls for AI agents and non-human identities, embedding least-privilege authentication and secrets management into AI systems while leading a team to scale secure adoption.
Builds predictive models and AI tools for national defense, analyzing spatial and operational data to enhance mission outcomes and threat detection.
Manage cost, schedule, and subcontractors for a technical team developing predictive analytics and agent-based modeling for national defense. Serve as the primary customer liaison for a TS/SCI cleared project, ensuring performance and driving business growth.
Lead a team building AI/ML models for spatial intelligence, focusing on anomaly detection, predictive analytics, and agent-based modeling to support defense and intelligence missions using Python, SQL, and cloud-native tools.
Build and maintain an enterprise-scale data platform that powers AI agents, knowledge bases, and RAG systems using Python, GCP, and vector databases.
Design and build data pipelines and microservices to feed AI systems, ensuring data quality and reliability for a web/mobile development agency.
Design and build agentic AI systems using GenAI, ML, and systems engineering for domains like healthcare, finance, and retail; implement RAG, multi-agent workflows, and full-stack Python applications on Azure.
Requisition ID: 255249 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. Scotiabank continues to be an industry leader for Payment’s technology and innovation. We…
The Opportunity Are you looking for a caring, collaborative, values-driven workplace with inspiring teammates and leaders? Do you have the ambition and desire to be the best and thrive at the most impactful global…
Platform Engineer – DevOps, Site Reliability Engineering (SRE) & Dynatrace Required Skills Strong experience as a Platform Engineer with expertise in DevOps and Site Reliability Engineering (SRE). Experience…
ROLE & RESPONSIBILITIES: Design, build and operate operational data integration solutions focused on making enterprise data available, trusted and consumable. Ingest and stream data from Zero Trust data sources…
Brief Summary: Join our dynamic team as we innovate in AI solution development, focusing on Generative and Agentic AI technologies. We are seeking a skilled professional to drive the design and implementation of AI…
Designs and executes testing strategies for data pipelines and ETL/ELT processes to ensure accuracy and reliability of enterprise analytics at a fintech company.
Design and execute testing strategies for data pipelines and analytics solutions, validating ETL/ELT processes and cloud data flows to ensure data quality and reliability for trusted insights.
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