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Build AI-powered systems that turn operational data into trusted insights for manufacturing and avionics, using LLMs, RAG, and MLOps pipelines in a secure, Agile environment.
Design and build production-grade AI agent systems using LangGraph, CrewAI, and MCP, deploying on Azure/AWS while enforcing structured outputs, evaluation pipelines, and Responsible AI guardrails.
Senior analyst builds healthcare quality dashboards and runs statistical analyses to spot patient-safety risks and guide hospital process improvements using SQL, Power BI, and Python.
Senior analyst builds healthcare quality dashboards and runs advanced stats to spot patient-safety risks, regulatory gaps, and cost-saving opportunities using SQL, Power BI, and Python.
ML Operations Engineer owning production ML/LLM model serving, deployment, and operations in Mercari's cloud-native environment using Kubernetes, Terraform, Python, and NVIDIA/TPU stacks (Triton, TensorRT-LLM, JAX).
Lead the development and operation of scalable Python services for GenAI, LLM, and agentic systems at Vonovia SE, using FastAPI, LangChain/pydanticAI, and MLOps practices in production.
Builds scalable GenAI/LLM systems for Vonovia’s housing operations, designing end-to-end architectures (data prep, model integration, MLOps) and agentic workflows with Python/FastAPI.
The DevOps Engineer will design and maintain infrastructure, CI/CD pipelines, and operational processes for a large-scale banking platform using AWS and on-premises systems. The role focuses on automation, container orchestration, and observability to ensure platform reliability and efficient software delivery.
The Senior Operations AI Engineer will design and deploy autonomous AI systems and agentic workflows to optimize supply chain and logistics operations. The role involves hands-on development using Python, ML frameworks, and GenAI tools while providing technical leadership to the team.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
Lead DevOps engineering for a hybrid vendor product, designing CI/CD pipelines, infrastructure automation, and observability while ensuring reliability and security for PNC's enterprise AI/ML platform.
The Lead Site Reliability Engineer will manage the end-to-end deployment and operationalization of AI/ML models, ensuring they are scalable and reliable. This role involves implementing MLOps best practices, monitoring model performance, and collaborating with cross-functional teams to align AI solutions with business objectives.
The QA Automation Engineer will design and optimize automated evaluation infrastructure for AI/CV models, focusing on CI/CD integration and performance benchmarking. The role requires strong Python skills and experience in MLOps to ensure high-quality, rapid testing cycles for video analytics engines.
Senior Data Product Manager owning the end-to-end lifecycle of GCP-hosted data products (pricing, parts, lead generation, commercial analytics) built on open lakehouse architecture, partnering with engineering and business stakeholders to deliver scalable data solutions.
Builds and deploys AI/GenAI solutions (LLMs, RAG, agentic systems) to improve insurance sales, fraud detection, and customer experience using Python, SQL, and cloud platforms like Azure and Databricks.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
ML Engineer contract deploying production ML models and building scalable MLOps pipelines for a retail business, using Python, ML frameworks, cloud platforms, Docker, and Kubernetes.
Design and deploy AI, ML, optimization, and control algorithms for building automation and energy management at Honeywell Connected Enterprise, using Python, MATLAB, and Spark in cloud and edge environments.
Role Overview We are seeking a skilled AI Engineer to design, develop, deploy, and optimize AI-powered solutions that drive business value. The ideal candidate will have expertise in Machine Learning, Generative AI,…
Senior Data Scientist collaborating with R&D scientists at Qnity Electronics in Cleveland, applying statistical modeling, machine learning, deep learning, computer vision, and generative AI/LLMs to solve scientific and engineering problems in the semiconductor and advanced electronics space.
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