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Builds production-grade LLM agents and classical ML models for bank collateral evaluation, integrating retrieval, agentic workflows, and risk controls in a regulated finance setting.
Senior Consultant AI/ML Engineer in EY's AI and Data practice in Quebec: works with client stakeholders to design, integrate, and test AI/ML solutions within client technology stacks. Core stack is Python with TensorFlow/PyTorch/Scikit-learn, cloud AI services (AWS, Azure, GCP), Git, and AI testing tools; bilingual French/English is required.
Leads architecture and hands-on development of AI-enabled geospatial and crisis management platforms for the SAFEPLACE project and ESA initiatives in Madrid, building React dashboards, Python/FastAPI backends, geospatial services (Cesium, GeoServer, PostGIS), and LLM/RAG-powered AI services in containerized cloud environments.
Designs, builds, and runs scalable machine-learning platforms that power OTT content recommendations and personalization for Coupang Play, focusing on low-latency, high-throughput inference systems.
The Senior Software Engineer will build and optimize large-scale AI/ML systems to protect the Airbnb platform from fraud and ensure community safety. The role involves working with cross-functional teams to productionize ML models and pipelines using technologies like Python, Java, Spark, and Kubernetes.
A machine learning engineer researches and prototypes novel neural network architectures (e.g., alternatives to Transformers, RNNs, state-space models), designing experiments on scaling, memory, and compute trade-offs and working with inference/systems engineers to make research deployable. Core stack is research-oriented ML code in PyTorch or JAX.
Builds and deploys production ML and AI solutions for a manufacturing client — computer vision defect detection, LLM/RAG chatbots, and predictive maintenance — using Python, pandas, scikit-learn, PyTorch/TensorFlow, SQL, and a major cloud platform (AWS/Azure/GCP), with ERP (Oracle EBS) data integration.
About the Role: As a Machine Learning Engineer at this level, you will be a key contributor to our team, responsible for building and deploying end-to-end machine learning models. You will work with a degree of…
We are seeking an experienced and hands on Tech Leader for our Machine Learning Team. This pivotal role involves the development of our ML framework and platform, develop Machine learning models and support our MLOps…
The Wow As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with…
Agentic AI Machine Learning Engineer The Opportunity: As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today’s technical landscape,…
Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create…
This is a remote position. Senior AI/ML Engineer — Founding Technical Lead (US) Location: US Type: Part time Reports to: Founder (Cullen), with technical oversight from Fractional CTO Manages: 2–4 junior engineers /…
- Own ML/AI systems end-to-end: data pipelines, model training, serving infrastructure, monitoring, and iteration - Build LLM-powered applications with custom pipelines, prompt management, evaluation, and optimization…
Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This role focuses on…
We believe in the power and joy of learning At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose – driving…
About the Team DoorDash Drive powers deliveries placed through merchants' own channels—including their websites, mobile apps, and phone orders—using DoorDash's logistics network. The Drive Machine Learning team builds…
Senior ML Engineer building an end-to-end ranking system for a fintech product: data pipelines and feature store (ClickHouse, Airflow), gradient boosting ranking models (CatBoost), low-latency ONNX production inference, A/B testing infrastructure, and model monitoring for drift and degradation.
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