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Career Category Information Systems Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living…
Confido is the AI infrastructure powering modern CPG — the platform that 200+ brands like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana use to run everything from deductions to production planning. Finance,…
Designs and deploys enterprise-scale AI/ML and Generative AI solutions using Snowflake Cortex and cloud platforms, guiding clients from discovery to production deployment.
Build and deploy production-grade ML systems (NLP, LLM, classification) to automate healthcare workflows and improve operational efficiency for hospital systems and payors.
Research and build agentic AI systems with LLM-powered agents, graph machine learning, and knowledge graphs to improve autonomous decision-making for mission-critical applications.
Design and operate AI-augmented platform infrastructure for a fintech app, building agentic systems on AWS EKS, GitOps, and developer portals to reduce operational toil and boost engineering velocity.
Build and orchestrate enterprise-grade AI workflows for document extraction and lending systems using PyTorch, LangChain, and RAG in a regulated financial environment.
Na CI&T , ajudamos grandes empresas a transformar o potencial da AI em impacto real nos negócios com AI Deployment, execução AI-native e tech-integrated business solutions. Com 30 anos de experiência em…
Senior engineer embeds with government clients to design and deploy GenAI solutions on Snowflake, prototyping working AI features and coaching teams on platform capabilities.
Design and build an AI-powered proposal generation system for private banking, integrating agent workflows, RAG, and regulatory compliance in a hybrid role.
Principal Engineer at Beamery designs and maintains scalable cloud infrastructure and Kubernetes platforms, mentors engineers, and sets reliability standards for AI-powered talent management software.
Designs and deploys end-to-end AI infrastructure for enterprises, integrating NVIDIA GPU clusters, high-performance networking, parallel storage, and AI software stacks to support large-scale model training and inference.
Designs, builds, and deploys AI-powered applications for financial services clients using large language models, machine learning, and modern AI engineering practices.
Build and deploy generative AI applications using LLMs, RAG, and Python on Google Cloud for financial-sector clients.
Junior consultant builds and deploys AI/ML models, LLMs, and RAG systems for enterprise clients, working across the full data-to-production pipeline in a hands-on consulting role.
Senior AI/ML engineer builds, deploys, and maintains production-grade AI systems including LLMs, RAG, agent workflows, and GenAI apps using Python, cloud platforms, and MLOps tooling.
Internship role designing and deploying generative AI and multi-agent systems for enterprise clients, using Python, cloud platforms, and GenAI frameworks.
Internship for a final-year student to design, build, and deploy data and AI solutions (pipelines, models, platforms) under mentorship, using Python, cloud, and GenAI tools.
Internship role assisting clients with AI and data platform projects, including GenAI, data engineering, and governance, under mentorship in a consulting firm.
Design end-to-end AI and data platforms spanning classical ML, Generative AI, and Agentic AI, including secure-by-design blueprints and MLOps/LLMOps across cloud and on-premise environments.
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