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Senior Data Engineer builds scalable pipelines and models in Python and Spark to process terabytes of streaming and batch data, enabling Roku to analyze viewer behavior across devices and improve the TV streaming experience.
Lead ML systems for Roku’s AI-powered entertainment assistant, building ranking, personalization, and conversational discovery using LLMs, reinforcement learning, and multi-objective optimization.
Build and scale ML infrastructure for Roku’s recommendation engine, including feature stores, inference services, and vector databases to serve millions of users.
Build and maintain Roku’s global content data platform, designing low-latency pipelines and microservices that power search, recommendations, and analytics for millions of TV streamers.
Builds end-to-end internal AI products, agents, and automations for CHEQ's Data & AI team, partnering with business stakeholders to turn manual processes into production AI solutions. Core stack: LLMs, agents, RAG, prompt engineering, Python/SQL, APIs, and Snowflake data pipelines.
The Senior BI Developer will design and maintain scalable ELT pipelines and BI dashboards within the Snowflake data warehouse to support global e-commerce operations. The role involves utilizing Python, SQL, and dbt to build data models and integrating AI/LLM solutions to enhance analytical insights.
Builds and maintains production-grade data pipelines in Python and SQL, automating financial and supply-chain metrics for Redwood’s battery-recycling operations.
About the job Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on…
Make your internship count At Intelcom, interns don't just observe, they contribute meaningfully to real projects that shape how we operate. You'll gain hands-on experience, grow your skills, and explore…
AI Engineer / Data Engineer - Agentic AI Ville de Québec, QC (Hybride) Temps plein Résumé du poste Le groupe Thales est une organisation mondiale présente sur tous les continents au service de cinq grands marchés, tous…
Data Engineer (Mid-level) Location: Remote (Quebec/Canada) About Irth Solutions Irth Solutions is a leading provider of cloud-based SaaS software for damage prevention, asset integrity, stakeholder engagement and land…
About Us Our culture is characterized by collaboration, inclusivity, and a commitment to continuous learning, fostering an environment where diverse perspectives lead to groundbreaking solutions. Team members are…
Designs and builds scalable data infrastructure and AI pipelines for space-station engineering, manufacturing, and operations, integrating PLM/ERP/OT systems.
Build and maintain Trove Brands’ data warehouse and analytics stack, modeling data, writing ETL pipelines, and creating dashboards to drive data-driven decisions across the company.
At cloudandthings.io, we are an engineering-led consultancy focused on building modern Data and AI Platforms for enterprise clients. We don't just design architectures; we build real systems that power analytics,…
Lead a new product line from 0 to 1 at a construction intelligence platform—hands-on coding (~50-60%) in Python, designing architecture for data processing systems, hiring and mentoring a team, and collaborating with product managers.
Klaar om als Senior Data Engineer/Platform Engineer impact te maken bij toonaangevende organisaties? Bij Team EIFFEL werk je projectmatig aan uitdagende datavraagstukken, van corporates tot overheid. Je bouwt aan…
Lead a small team of Data Engineers to build scalable data pipelines and products on Snowflake, using dbt, Dagster/Airflow, and AI-assisted tools for a U.S. fintech client's data platform.
Builds and maintains Snowflake-based data pipelines, develops data transformations with dbt, migrates Alteryx workflows, and uses Dagster/Airflow for orchestration; core technologies include Snowflake, dbt, Fivetran, Dagster/Airflow, and data quality tools.
8fig is hiring a Data Scientist in Tel Aviv to build end-to-end time-series forecasting and NLP models that power its AI-driven eCommerce funding platform. Day-to-day involves analyzing sales/banking data, developing predictive models from scratch, and collaborating with product and engineering using Python, pandas, NumPy, and scikit-learn.
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