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Senior Data Scientist building and scaling connected agentic AI systems (multi-agent LLM workflows, RAG pipelines) in Python and SQL at AB InBev's Bangalore office, partnering with business stakeholders to deliver production-ready ML solutions.
Build AI-powered features like search, recommendations, and generative AI tools for a healthcare marketplace, spanning models, APIs, and user interfaces.
Would you like to be part of a team shaping the future of the IT industry through responsible and innovative use of Artificial Intelligence? Amazon Web Services (AWS) is advancing the next evolution of cloud computing…
Designs and deploys end-to-end machine learning solutions for clients, bridging business problems with statistical modeling, cloud-based analytics, and production-grade MLOps. Focuses on Azure-based pipelines, model governance, and stakeholder collaboration.
Build and maintain Python backend services and APIs for ML and Generative AI applications—including LLM, RAG, and AI agent workflows—deployed into cloud/GCC environments with a focus on Responsible AI controls and production support.
Machine Learning Engineer building and maintaining ML-powered features for a healthcare platform, working across the AI stack including RAG, fine-tuning, and agentic workflows in a cloud environment.
Lead complex AI/ML and analytics consulting engagements for TransUnion's Financial Services Consulting team in a hybrid Chicago role, using Python/R, SQL, cloud platforms, and modern ML frameworks to deliver data-driven solutions to clients.
Builds and deploys AI/ML models (including GenAI and agentic systems) for fintech operations, focusing on prompt engineering, model evaluation, and production monitoring to improve customer and business outcomes.
Designs AI-driven systems to monitor and optimize Disney’s global streaming ecosystem (Disney+, Hulu, ESPN) by building real-time telemetry pipelines, agentic models, and observability tools for reliability and performance.
The Senior Machine Learning Engineer will manage the end-to-end lifecycle of ML and LLM-based solutions, focusing on model optimization, deployment, and MLOps infrastructure. The role involves developing agent systems and collaborating with cross-functional teams to integrate scalable machine learning models into production.
Build and deploy AI-powered enterprise applications while assisting with ML model development and cloud-native solutions in a collaborative team environment.
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients…
Own the enterprise control plane for agentic technologies, non-human identities, and AI platforms—defining governance, identity/authorization models, and operational controls to enable secure adoption of AI and autonomous systems at scale.
Builds AI-native full-stack applications integrating LLMs, RAG, and agentic workflows to enhance engineering productivity at a semiconductor leader.
Design and deploy secure agentic AI systems for enterprise partners, focusing on safety, security, and confidential computing using NVIDIA’s accelerated platform.
Where Ambition Meets Innovation Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and…
Leads enterprise AI platform architecture for Nutanix, designing GPU/Kubernetes-based AI infrastructure, MLOps/LLMOps, RAG, and Generative AI solutions for hybrid/multi-cloud environments. Advises customers on AI strategy, model serving, and production-grade AI deployments.
Senior ML Engineer builds and deploys AI models for a timekeeping product, owning end-to-end ML solutions and collaborating with cross-functional teams.
The AI/ML Engineer will design and deploy production-grade machine learning systems for a healthcare procurement platform, focusing on computer vision, pricing engines, and predictive analytics. The role requires strong Python skills and experience with ML frameworks to build models that improve efficiency in the UK healthcare system.
The AI Engineer will design and implement AI solutions, specifically focusing on RAG pipelines, document processing, and data transformation for an EDMS platform. The role involves developing and optimizing AI models, integrating them with data pipelines, and collaborating with cross-functional teams to deliver scalable features.
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