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Build and deploy supervised ML models to detect healthcare fraud, waste, and abuse using billions of claims; establish production practices for a new data-science team.
Lead the 0-1 build of an AI-native data infrastructure platform, defining architecture, hiring the team, and shipping production-grade ML/GenAI systems that power core platform capabilities.
¿Listo/a para dar el siguiente paso como Data Scientist / MLOps Engineer en un entorno tecnológico? 🚀 ¡Desde Nunegal Consulting tenemos una oportunidad para ti! ¿Cómo es trabajar con nosotr@s? Tenemos una cultura de…
Build and productionize AI models and agentic systems to detect fraud and automate trust decisions for Airbnb’s global community.
Overview Tanaq Technical Services (TTS), a division of St. George Tanaq (SGT)Corporation, is an 8(a) Alaskan Native Small Business that specializes in delivering Enterprise Integrated Technology Solutions and Support…
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.
Lead AI/ML initiatives including traditional models, GenAI, and agentic systems to improve customer and employee experiences using Python, cloud platforms, and modern data tools.
Build and deploy ML models for lending, credit risk, and portfolio performance on Azure/AWS, turning financial data into actionable insights for MA Financial Group.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines, data warehouses, and AI/ML platforms to create reusable datasets and enable customer-centric analytics and AI solutions.
Build and scale backend systems, data pipelines, and AI/ML data flows using Python, PostgreSQL, Kafka, and cloud platforms to power AI-driven products.
Design and build scalable data platforms and AI pipelines, integrating ML outputs into backend systems using PostgreSQL, Kafka, and Python.
Build, train, and deploy ML models in Python using TensorFlow/PyTorch to solve business problems and maintain production systems.
Design and deploy scalable AI/ML systems, including generative AI solutions with RAG and embeddings, to solve complex business problems and drive measurable impact.
Build, validate, and deploy real-time ML models for fraud detection, credit scoring, and risk modeling that power an AI agent platform for TradFi and DeFi institutions.
Design and build scalable feature pipelines for ML and GenAI systems, engineering features from structured and unstructured data to power Dell’s supply-chain analytics.
Build and optimize distributed data infrastructure for TikTok’s recommendation, search, and ads systems, focusing on real-time and offline storage, Lakehouse architectures, and ML feature pipelines.
Design and implement scalable data-science models (ML, optimization, simulation, generative/agentic AI) in cloud environments, then productionize them with engineering teams to drive business impact.
6-month contract, renewable Government project Hybrid work arrangement We are seeking one Data Engineer to establish and maintain the data infrastructure required to integrate, process, govern and use these data…
Build and maintain high-performance Java backend systems, modernize legacy code, and troubleshoot production issues while collaborating with frontend and product teams.
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