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Designs and optimizes data systems for AI/ML, analytics, and large-scale operations, integrating cloud platforms and pipelines while ensuring scalability, security, and performance.
Build and optimize Android ML systems that power speech/audio and reinforcement learning features at massive scale for 3B+ devices.
Design and implement AI solutions for RBC's banking operations, building scalable data and ML pipelines, integrating LLM applications, and ensuring security and compliance.
Reporting to Data and Analytics Lead, the successful candidate will be responsible for the following: Data Management & Transformation Designing and developing new data pipelines and managing existing data…
Designs, optimizes, and governs data pipelines in an Azure-based platform, ensuring data quality and supporting AI model deployment while collaborating on reports and dashboards.
Designs and maintains scalable cloud-based data pipelines and architectures for Singapore’s public housing authority, focusing on Data Lakehouse solutions, ETL/ELT workflows, and AI/ML integration to support evidence-based policy and service improvements.
NetDocuments is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity without phone, video, and in person meetings and communications from emails using the…
Principal Data Scientist owning credit risk modelling, ML pipelines, scoring, and underwriting models to drive lending decisions. Uses Python and SQL for financial forecasting and feature engineering within a fintech context.
Design, build, and productionize large-scale machine learning and generative AI systems, implementing robust MLOps workflows using MLflow and deploying on Databricks.
Builds and deploys customer-facing solutions on a platform using Python, React, and AI/ML, collaborating closely with clients and senior engineers to translate requirements into production-ready software.
Design and train transformer-based foundation models for particle physics using calorimeter data, optimizing for multi-task capabilities and computational efficiency in a collaborative EU-funded project.
Designs and leads large-scale AI/ML systems at Google, bridging research and production to build scalable, high-impact models for global infrastructure. Focuses on architecture, mentorship, and cross-functional collaboration in AI/ML pipelines.
Senior Platform Engineer designs and scales cloud-native infrastructure, implements IaC and observability, and embeds SRE practices for reliability at Focused, a DevOps-focused consultancy.
Builds and maintains credit risk/repayment models for Clair’s fintech platform, using ML to assess risk, predict user behavior, and optimize credit decisions. Works with transaction data, deploys models in production (AWS/Snowflake), and collaborates with product/risk teams.
Lead a team to design, build, and deploy AI and data solutions on Databricks for enterprise clients, focusing on Lakehouse architecture, Mosaic AI, and production-grade systems.
Build and maintain MLOps/LLMOps infrastructure on GCP to deploy and scale AI/ML models, collaborating with researchers and engineers to bring experiments into production.
You will co-own the MaaS system architecture and roadmap, set Go and API standards, build OpenAI- and Anthropic-compatible inference gateways, optimize routing and model serving, operate globally distributed services…
Lead AI product engineering for generative AI models at a large healthcare company, developing and deploying novel AI features.
Senior ML Engineer responsible for designing, building, and maintaining ML training pipelines and infrastructure for ad-targeting models in a fast-growing gaming/media company. Focuses on end-to-end ML ownership, performance optimization, and enabling data scientists with scalable, reproducible tools.
Design and build GenAI agents that assist Bosch engineers with tasks like requirements analysis, documentation, and failure analysis using LLMs, embeddings, and vector databases.
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