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Designs and maintains AI/ML platform infrastructure (multi-cloud, CI/CD, IaC) to empower data scientists and engineers, enabling scalable AI/GenAI solutions for developers.
Senior Data Engineer designing and building cloud-native data platforms and ETL/ELT pipelines to power enterprise AI/ML solutions across manufacturing, supply chain and finance at a global electrification company, using Python, SQL, Databricks, Spark and cloud platforms.
Design and build data pipelines, quality frameworks, and tooling that turn multi-modal surgical robotics data into research-ready datasets for AI/ML teams, using Python, SQL, and distributed processing frameworks like Spark and Airflow.
Onsite ML engineer in Springfield, VA designing, building, and maintaining ML systems (predictive models, recommendation engines, anomaly detection) using Python, Kubernetes, PyTorch/TensorFlow, and MLOps tooling for a national security contractor.
Builds and maintains the AI and data platform that powers Afresh's grocery-focused products, focusing on retrieval, agent systems, and evaluation infrastructure for LLMs.
Senior engineer builds and operates the AI platform that turns raw grocery data into reliable context for LLMs and agent systems, including retrieval layers, evaluation harnesses, and production serving infrastructure.
Data Engineer architecting and maintaining cloud-based data analytics infrastructure on AWS, Databricks, and IDMC, designing data lakes, ETL/ELT pipelines, and automation playbooks.
Data Scientist/ML Engineer responsible for the full data lifecycle—designing, training, and deploying machine learning models in production environments using Python, SQL, and ML frameworks.
Data Engineer at Accenture España designing and implementing modern, scalable data architectures (ETL, data ingestion, data quality) for top clients using Python, PySpark, SQL/NoSQL, Big Data, and cloud technologies in a hybrid role based in Barcelona or Madrid.
Data Platform SRE on Apple's AI & Data Platforms team, responsible for developing and operating large-scale big data platforms using Apache Spark, Apache Iceberg, and cloud services (AWS/GCP) to support analytics, reporting, and AI/ML applications.
Leads AI-driven recommendation systems for an e-commerce platform, designing multimodal search and personalization models using Google's Vertex AI and TensorFlow.
We're looking for a technology leader who knows data platforms deeply, has an opinion about the broader data platform landscape, and can turn that conviction into real engagements, real revenue, and stellar…
Build and deploy AI/ML models and scalable backend services in Python and Go to power financial news analytics and real-time data APIs for global investors.
Builds and maintains Apple’s AI & Data Platforms, optimizing big data infrastructure for analytics, AI/ML apps, and reporting via distributed systems and cloud platforms.
The Senior Big Data Engineer will design and maintain scalable batch and streaming ETL pipelines on the Databricks Lakehouse platform within Azure environments. The role involves optimizing data processing, implementing data governance with Unity Catalog, and collaborating with stakeholders to deliver production-ready data solutions.
Designs and maintains secure, scalable ML platforms for AI systems supporting national security missions.
The Staff Software Engineer will lead the architecture and delivery of AI-native products for Addepar's financial data platform. The role focuses on productionizing LLMs and agentic frameworks to transform wealth technology workflows.
Senior Data Engineer building and scaling ML-powered data products (OCR, transaction coding, RAG/agentic systems) on a commercial banking platform, using Python, Go, Snowflake, DBT, Kubernetes, and GCP.
84.51° Overview: 84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable…
Machine Learning Engineer leading data projects, developing predictive models, and deploying scalable ML solutions using Python, SQL, and cloud-based MLOps tools at a data consultancy in Uruguay.
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