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Looking for an AI Engineer to Develop, deploy, and operate AI/LLM models across Clinets dual environment — GCP for public-cloud workloads, Humain sovereign cloud for classified data. Requirements Build and fine-tune…
Builds and evangelizes LaunchDarkly's AI agent control product, advising customers, shaping product feedback, and creating technical content to drive adoption of multi-agent systems.
Build and deploy ML/AI systems in Python using libraries like TensorFlow and PyTorch; develop scalable AI solutions for real-world applications.
Build quantitative models and ML pipelines to power equity research, turning financial data into research-grade signals and insights for analysts and clients.
Build and deploy AI/computer-vision systems end-to-end, from data pipelines and model training to C++ edge integration and production validation.
Build and validate statistical and machine-learning models in Python/R to extract insights from large datasets and support data-driven decisions for clients.
Build predictive models and recommendation engines to personalize offers, predict user LTV, and detect fraud in a high-scale adtech/gaming ecosystem.
Build and deploy ML models in Azure to extract insights and drive decisions using Python and cloud data tools.
Build and deploy AI models and data pipelines for a product company, focusing on deep learning and data science.
Principal Data Science Engineer at Medtronic builds AI-driven analytics for surgical tech, using Python, ML, and cloud tools to deliver insights from signal data and improve operating-room decision support.
Build and optimize cloud-based SQL databases and data pipelines in Azure, then collaborate with data scientists to develop Python-based ML models for analytics across fintech and healthcare.
Build and productionize AI models and agentic systems to detect fraud and automate trust decisions for Airbnb’s global community.
Build and ship full-stack features for an AI platform that accelerates due diligence for private equity funds using Python, FastAPI, React, and LLM tooling.
Architect and lead Faire’s ML platform, setting standards for MLOps, feature management, and scalable ML workflows using Databricks, Spark, and MLflow to empower data scientists and retailers.
Senior full-stack developer building secure, scalable enterprise apps for Ontario’s public sector using React/Next.js, Node.js, Python, .NET Core, Azure, and AI/ML integrations.
Job Requirements: 5-6 years of overall IT experience, with 2+ years of hands-on experience working with Neo4j,Cypher query language, and Graph Data Science (GDS) library. Strong proficiency in Python for ETL pipelines,…
Build and refine ML features for Shopee’s ecommerce systems, turning messy operational data into clean, model-ready inputs and collaborating with engineers and business teams.
Build and deploy ML models that personalize content recommendations across Globo’s digital products using Python, TensorFlow/PyTorch, and cloud pipelines.
Build and deploy production-grade ML systems using Python, PyTorch/JAX, and GPU infrastructure to solve real-world problems in a small, technical team.
Location: Wokingham - Office based (hybrid working with 3+ days per week onsite may be considered) Start Day: ASAP Contract Rate: 460 per day inside IR35 Duration: 6 months initially Role Overview Our client is seeking…
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