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About the team We are a focused engineering team of 5 to 9 people at a multi-product tech SaaS company. We work across personalization, recommendation, fraud detection, and some GenAI, through real-time,…
Job title : DATA ENGINEER Location : Paris, France Job reference # : 33659 Contract type : Permanent Language requirements : French (at least C1) and English (B2) At Eni , we are looking for a Data Engineer to join Eni…
Perform routine repairs and preventive maintenance across multiple commercial properties, handling plumbing, electrical, carpentry, HVAC, and general building systems while traveling between sites.
Build and maintain scalable data pipelines and cloud data warehouses (Snowflake, BigQuery) to move and transform retail and customer data across enterprise systems.
About the role The Data Engineering department at Tesco Technology drives data processing across our retail and technology operations. The team analyzes order and delivery data to optimize logistics, manages critical…
Robotics Automation Engineer Department: AI Digital Solutions Location: Remote, US Compensation: $104.8K – $131K • Annual Performance Bonus up to 7% Employment Type: FullTime Who We Are Welcome to TELUS Digital — where…
Automation Engineer (Robotics) Department: AI Digital Solutions Location: Remote, US Compensation: $104.8K – $131K • Annual Performance Bonus up to 7% Employment Type: FullTime Who We Are Welcome to TELUS Digital —…
Lead a small team that builds and maintains scalable data infrastructure, ML pipelines, and AI-driven features to power AllTrails’ map quality, content, and member experiences.
Design and build scalable, cloud-native data pipelines and architectures using AWS, GCP, Azure, Snowflake, or Databricks to power real-time and batch analytics for enterprise AI solutions.
Build and maintain data pipelines, APIs, and analytics infrastructure using Python, SQL, Airflow, DBT, DynamoDB, and AWS Lambda to power healthcare recruitment insights and ML models.
Build and deploy AI models, RAG pipelines, and LLM-powered systems for early-stage startups backed by a VC firm.
Own and improve a data platform that powers analytics, handling overnight processing, SQL Server, Airflow, and AI-assisted pipelines to ensure reliability and data quality.
Build and operate the distributed orchestration engine for Amazon SageMaker AI’s Model Factory, running large-scale LLM training and customization workflows across thousands of GPUs and Trainium devices.
Build and maintain cloud-based data pipelines (batch and real-time) on AWS, using SQL, Python, ETL tools, and Snowplow to feed analytics and product insights.
Design and build Snowflake-based data platforms for clients, ensuring they are AI-ready while using tools like dbt, Fivetran, and Airflow.
Build AI/ML products using LLMs, GenAI, and agentic frameworks to optimize retail operations and customer experiences for a sustainable energy provider.
Leads a team to build and maintain scalable GCP data pipelines, warehouses, and real-time processing using BigQuery, Dataflow, and Cloud Composer.
Design and build enterprise-grade generative AI systems on AWS using Bedrock, AgentCore, and RAG pipelines, leading teams to deliver scalable LLM applications with agentic workflows.
Design and implement enterprise-grade MLOps/LLMOps pipelines on AWS SageMaker and EKS, focusing on model lifecycle management, CI/CD, monitoring, and governance for AI/ML systems.
Como o time Dados constrói a Loft: O time de Dados tem duas missões: garantir que a Loft tome as melhores decisões e garantir que ela use AI / machine learning no seu máximo potencial. Somos responsáveis pela criação…
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