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Product Designer owning end-to-end design of real-time operator interfaces and enterprise web platforms for autonomous defense systems at Applied Intuition, using modern prototyping tools.
Build and deploy AI-native data infrastructure at Apple scale, designing LLM agents, retrieval systems, and evaluation pipelines to transform how users access iCloud content across devices.
Lead Data Analyst partnering with clients to design marketing analytics strategies, build predictive/segmentation models, and translate multi-channel data into business outcomes using Python, R, SQL, and ML techniques.
Junior MLOps Engineer responsible for automating ML pipelines (CI/CD for ML), deploying models to production using Kubeflow and MLflow, and monitoring data drift and model performance. Core technologies include Python, Docker, Kubernetes, Kubeflow, and MLflow.
Kroll is hiring a Data Science Manager to lead and grow our data science function within the Enterprise Data Group. This role sits at the intersection of technical leadership and strategic delivery — you will shape how…
Senior Data Scientist designs and deploys ML models (traditional, deep learning, NLP, LLM/GenAI) on Azure/Databricks to solve fintech risk and compliance challenges.
Designs and builds scalable cloud-native AI/ML and GenAI infrastructure for Toyota Financial Services, focusing on MLOps/LLMOps, GPU-accelerated compute, and secure model deployment at enterprise scale.
Lead the design, development, and deployment of AI/ML-powered applications and microservices on Kubernetes, using MLOps/AIOps tools and cloud platforms to deliver scalable, production-grade solutions.
Date Posted: 2026-08-19 Country: United States of America Location: US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: This job…
Build and deploy machine learning models and services, focusing on MLOps practices, API development, and cloud infrastructure using Python, AWS, and tools like MLflow and Databricks.
Lead the technical design of enterprise systems for plasma-derived therapies, using modern web stacks and cloud-native patterns while embedding AI capabilities and mentoring engineers.
Leads hands-on Developer Relations for India's AI Labs, helping researchers and teams adopt NVIDIA platforms for model development, training, optimization, deployment, and production inference; core technologies include NVIDIA AI tools like NIM, Triton, CUDA, and TensorRT.
Build and productionise dynamic pricing models, elasticity forecasts, and causal-measurement toolkits to set prices across Klook’s travel products and markets using Python, SQL, and ML.
Designs and implements AI-native security architecture for an AI-first enterprise platform, securing GenAI agents, models, and integrations while building ML-driven threat detection and autonomous security agents to analyze 22B+ monthly security events across 176K+ hosts and 266+ Kubernetes clusters.
Designs and scales AI infrastructure (MLOps, Kubernetes, observability) for Firmus’ global GPU clusters, ensuring reproducible ML workflows, high reliability, and seamless integration with NVIDIA’s software stack.
Designs and maintains scalable data pipelines and platforms on AWS, using SQL, Python, and Databricks to support analytics, reporting, and ML workflows for clients.
Lead AI engineering for a global pest control/environmental services company, designing and scaling production-grade genAI, multi-agent workflows, and automation systems. Focus on cloud-native LLMOps, platform architecture, and mentoring teams to deploy AI solutions across business functions.
Lead the strategy and delivery of an AI platform for healthcare, building LLM/SLM-powered automation, RAG pipelines, and trustworthy AI workflows to reduce administrative burden and improve clinical decision-making.
Builds and deploys AI/ML and GenAI systems for healthcare, focusing on scalable data pipelines, model serving, and advanced GenAI patterns to solve health-related problems across Asia.
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