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Principal Software Engineer at Toast in Dublin builds and leads the AI Foundations platform, designing scalable infrastructure, governance, and developer tooling for LLM-powered systems and autonomous agents.
Senior Software Engineer builds and maintains AI platform infrastructure at Toast, including LLM proxies, agentic workflows, and developer tooling for internal AI tools.
Builds and deploys machine learning models for restaurant-focused SaaS products, analyzing data to drive product decisions and business growth using Python, SQL, and AWS tools.
Lead the design and development of scalable machine learning systems for restaurant-focused products like menu recommendations and demand forecasting, using Python, AWS, and LLMs.
Designs and builds AI platform infrastructure (LLM proxy, key management, observability) and autonomous agents for a restaurant-tech company, using Java/Kotlin and cloud-native tools.
Data Scientist II on Crunchyroll's ML & Data Science team supports content strategy through statistical analysis, traditional machine learning, and predictive modeling — building user segmentation, engagement prediction, and forecasting models using Python, SQL, and libraries like scikit-learn and XGBoost. Hybrid role based in Los Angeles or San Francisco.
The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease.…
Build and lead Datadog’s ML observability tools for LLM-based AI systems, focusing on tracing, drift detection, and model evaluation to help customers deploy AI reliably in production.
Build and govern AI-driven financial advice systems for banks and wealth managers, ensuring auditable, explainable outputs in a regulated environment using Python, FastAPI, and distributed architectures.
Senior engineer building AI-driven financial advice systems for banks and wealth managers, using Python, FastAPI, and distributed architectures to ensure auditable, compliant outputs in a regulated domain.
The Principal Data Scientist will lead the development and deployment of predictive models to optimize advertising performance across various channels. This role involves the full model lifecycle, from defining learning targets and causal measurement to translating model outputs into actionable business strategies.
Key Responsibilities Understand business problems and translate them into data science solutions Perform data analysis, data cleaning, and feature engineering on large datasets Build, evaluate, and optimize machine…
Role Overview You will be part of NPCI’s Market Innovation team , working at the intersection of advanced machine learning, deep learning, graph AI, and Generative AI to build next-generation intelligent systems for…
AI Engineer Generative AI & Intelligent
Machine Learning Engineer - Kubo Care Location: Bengaluru, India — Hybrid/Onsite Experience: 3–4 years LinkedIn: Kubo Care About Us Kubo Care builds AI-powered, radar-based ambient health monitoring for senior living.…
This is a remote position. About the job About OrbitShift At OrbitShift, we are building the world's first AI-native Sales Operating System, trusted by enterprise teams to accelerate their GTM motion. Our…
This is a remote position. We are seeking a Senior Data Scientist to design, build, and deliver world‑class AI/ML models that solve complex, high‑impact business challenges. This role involves working with large,…
AI/ML Subject Matter Expert – Data Analytics & GenAI Role Overview We are seeking a highly experienced AI/ML Subject Matter Expert with strong Data Analytics and GenAI implementation expertise. The role requires a…
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