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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.
Build and deploy AI/ML models, optimisation and control algorithms for building automation and energy management using Python, MATLAB and cloud/edge platforms.
Build and maintain scalable ML pipelines for training, inference, and analytics in a healthcare platform, using Python, Snowflake, and Azure/AWS while ensuring reliability and observability.
Product Manager leading AI & automation product initiatives at EviCore by Evernorth (Cigna Group), transforming healthcare operations through AI, workflow orchestration, and decision automation solutions.
Senior Solutions Architect partnering with NVIDIA's GSI and AI consulting partners to design, build, and evangelize enterprise AI solutions using Agentic AI, LLMs, and NVIDIA's platform (NIM, Nemotron, Agent Toolkit).
Principal Solutions Architect providing end-to-end architectural blueprints, technical leadership, and AI/ML integration guidance across enterprise platforms at U.S. Bank's Chennai office.
Build and productionize AI agents and self-service analytics tools for Thomson Reuters' Tax, Audit & Accounting portfolio, working with LLM APIs, RAG pipelines, and vector databases in Python and SQL.
Technical Lead driving architecture, development, and delivery of enterprise platforms using Java, Python, Node.js, and AWS Cloud, combining hands-on engineering, people management, and AI/ML initiatives.
Build and deploy ML/AI models for logistics optimization, fleet analytics, and real-time decision systems using Python, Google Cloud, Kafka, and LLMs.
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