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Job Title: DevOps Engineer – AI/ML Platform Experience: 8–12+ years About the Role We are seeking a skilled DevOps Engineer with experience in AI/ML infrastructure to design, build, and maintain scalable, secure, and…
Principal Engineer builds AI-driven EDA workflows to automate ASIC physical design, using LLMs and agentic tools to reduce design cycles and improve timing/congestion outcomes.
Develops generative AI applications with deep expertise in AI/ML, focusing on building advanced models and solutions requiring at least 8 years of specialized experience.
Build and deploy generative AI applications using AI/ML frameworks and tools for an enterprise product team.
Become a part of our caring community Most AI engineering jobs are a thin wrapper around a model API. This role is different. We build the platform that transforms millions of clinical documents into trusted,…
Senior AI Solutions Engineer designing, prototyping, and deploying LLM-based AI solutions integrated with enterprise systems, building data pipelines, and managing cloud (Azure/AWS/GCP) AI infrastructure using Python and MLOps practices.
NVIDIA is currently seeking a Solutions Architect Manager for Data Processing! Would you enjoy researching new algorithms and memory management techniques to accelerate data processing on modern computer architectures?…
This Director-level Java Backend Engineer role involves building scalable enterprise applications for Prime Brokerage and Institutional Equity teams using Java, Spring Boot, and agentic AI workflows. The position requires deep backend expertise and experience integrating LLMs and agentic frameworks into production systems.
Builds and deploys generative AI/autonomous agent systems (LLMs, GANs, RAG) to optimize Maersk’s supply chain processes, focusing on NLP, multimodal AI, and agentic architectures for real-world automation.
Designs, builds, and scales AI-powered customer and banker experiences using Generative AI, agentic AI, and LLMs. Focuses on cloud-native platforms, architecture, and responsible AI practices to transform Business Banking interactions.
The AI Engineer will design, develop, and deploy intelligent systems, focusing on machine learning, deep learning, and generative AI models. The role involves building scalable AI pipelines, implementing agentic platforms, and ensuring model performance and compliance within the healthcare domain using AWS technologies.
The Director of Enterprise Data & Analytics Architect will lead the design and scaling of Lilly's AWS-based data and AI platform, focusing on Databricks Lakehouse architectures to support commercial analytics and AI/ML initiatives. This role involves defining data strategy, ensuring governance compliance, and collaborating with cross-functional teams to operationalize data products and GenAI solut
The Advisor AI/ML Engineer will design enterprise AI blueprints, lead applied research in LLMs and agentic systems, and manage MLOps pipelines for Lilly's commercial technology team. The role involves mentoring engineers and bridging cutting-edge AI research with scalable business outcomes using AWS, Azure, and Databricks.
The Full Stack AI Engineer will design and deploy enterprise-grade AI solutions, including RAG architectures and intelligent document processing, using LLMs and Azure cloud services. The role involves building scalable AI agents and pipelines while ensuring security, governance, and performance optimization.
The Director of Enterprise Data & Analytics Architecture will lead the design and scaling of Lilly USA's commercial data and AI platforms using AWS and Databricks. This role involves defining data strategy, implementing modern data architectures like Data Mesh and Lakehouse, and collaborating with cross-functional teams to operationalize AI/ML models for commercial intelligence.
The Advisor AI/ML Engineer will define enterprise AI blueprints and lead the development of LLM-based solutions and MLOps pipelines for commercial applications. This hands-on role involves mentoring engineers and bridging cutting-edge AI research with business outcomes using technologies like Python, PySpark, AWS, Azure, and Databricks.
As a Senior Manager, you will lead the development of innovative AI-driven software solutions and manage cross-functional teams to drive digital transformation for clients. The role involves designing enterprise architectures and building scalable applications using Python, React Native, and various AI frameworks like LangChain and RAG.
Design, build, and deploy production LLM-powered applications, multi-agent workflows, and autonomous AI systems using Python, LangChain/LangGraph, and Azure cloud infrastructure in a hybrid London role.
This Senior Machine Learning Engineer role in the Healthcare & Life Sciences unit involves leading end-to-end AI/ML project delivery, including hands-on development of RAG pipelines, agentic workflows, and MLOps systems. The position requires deep expertise in Python, PyTorch/TensorFlow, and modern AI frameworks to build scalable, production-grade solutions.
The Lead AI Engineer will architect and deliver enterprise-scale AI solutions, including intelligent agents and LLM-powered applications, to support drug discovery and clinical research. This role involves leading a team of engineers, managing AI platform infrastructure, and collaborating with cross-functional stakeholders using Python and modern AI frameworks.
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