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Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable, secure AI solutions.
Builds ML models to extract clinical insights from wearable sensor data, collaborating with customers to validate algorithms and improve digital health outcomes.
Builds ML models to extract clinical insights from wearable sensor data, focusing on time-series analysis and digital health applications.
Build and maintain AI agents for image-processing systems using Python, FastAPI, and Azure, with Apache Airflow orchestration and Docker deployment.
Business Analyst bridges pharma clients with Axtria’s AI teams to scope and deliver GenAI solutions using ChatGPT Enterprise, Copilot Studio, and AWS Bedrock, driving adoption and execution across hybrid teams.
Build and deploy GenAI and agentic AI systems for pharma clients using Microsoft Copilot Studio, ChatGPT Enterprise, and AWS Bedrock, integrating structured and unstructured data pipelines.
Build and deploy AI/ML models, NLP, and LLM solutions to extract insights from unstructured data and support business decisions using Python, cloud platforms, and vector databases.
Design and advise customers on generative AI and ML solutions using AWS services like Bedrock, SageMaker, and Nova, including RAG pipelines, agentic workflows, and model customization.
Design and evangelize AWS AI/ML solutions for enterprise customers, building demos and workshops that showcase Agentic AI applications using services like Amazon Bedrock and SageMaker.
Build and deploy production-ready AI and multi-agent systems for healthcare, focusing on secure, compliant generative AI workflows using LLMs, RAG pipelines, and cloud platforms.
Build and scale Visa’s Java-based payment systems, integrating GenAI tools and LLM APIs to enhance backend services and developer workflows.
Build and modernize enterprise banking software using Java/Spring Boot and AI tools like Copilot to migrate legacy systems to the COMPASS platform.
Company RENAULT s.a.s. Job Description Contexte et environnement de travail Renault Group poursuit son engagement envers les jeunes au travers la formation par l’alternance et les stages. Réalisez votre stage au sein…
Manager, Product Software Engineering Job Description Manager, Product Software Engineering is responsible for designing, developing, and delivering advanced AI-first systems while leading a team of engineers to build…
Lead the design and implementation of low-latency, high-concurrency data pipelines and streaming platforms (Apache Flink, Redis) for Citi’s Fixed Income trading systems, coaching engineers and driving cloud-native microservices in Java/Python.
Design and deliver enterprise-grade AI systems using LLMs, RAG, agentic workflows, and cloud-native platforms while ensuring security, compliance, and scalability for Nordic customers.
Designs and runs load, stress, and benchmark tests for Cisco’s cloud-native and networking platforms, using Python/Java and AI-assisted automation to find and fix performance bottlenecks.
Analyzes business needs to design AI-powered solutions on Microsoft Power Platform and Azure, bridging stakeholders and tech teams while validating ideas with rapid AI prototyping.
Build AI-driven finance analytics solutions using low-code tools, prompt engineering, and data science to improve controls, efficiency, and decision-making in P&L, cost centers, and regulatory reporting.
Build and deploy scalable AI/LLM solutions for Johnson Controls, focusing on generative AI, retrieval-augmented generation, and cloud-based ML pipelines to drive digital transformation.
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