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Build, train, and deploy ML models for recommendation, segmentation, scoring, and NLP, then set up robust AWS data pipelines and MLOps practices to industrialize them.
Build and maintain petabyte-scale data infrastructure, design storage systems, and optimize batch and real-time pipelines using ClickHouse for OLAP reporting.
Designs cloud-native data pipelines and architectures for industrial clients using Cognite Data Fusion, mentoring teams and delivering scalable solutions.
Build and maintain a patient data warehouse, standardize health records, and ensure data quality and traceability using SQL and Python/R.
Design and maintain ELT pipelines and dbt models on AWS to build a reliable data platform, ensuring GDPR compliance and collaborating with business teams.
Lead a team to design, build, and optimize Databricks-based data pipelines and AI architectures for enterprise clients, ensuring scalable data ingestion, processing, and visualization while mentoring engineers.
Build and maintain scalable data pipelines and systems for a geolocation analytics platform, integrating diverse datasets and optimizing big-data infrastructure.
Design and optimize AI/ML models and build robust data pipelines for digital-transformation consulting projects using Python and SQL.
Data Center Engineer (On-Site) – 5 to 7 yrs Join to apply for the Data Center Engineer (On‑Site) role at Natobotics . We are looking for an experienced Data Center Engineer to join our on‑site operations team. The…
Design and build modern data pipelines and analytics platforms using Azure services like Data Factory, Synapse, and Datalake to integrate and model enterprise data for real-time insights.
Established in 2017, Infinite Orbits is a NewSpace company, based in Toulouse, pushing the boundaries of in-orbit services with cutting-edge spacecraft driven by its own Rendez-Vous solution, an advanced Autonomous…
Designs and deploys Apache NiFi-based data pipelines to integrate learning solutions and streamline complex educational environments.
Designs and builds scalable big-data pipelines for GenAI projects on GCP/AWS, ensuring compliance with financial regulations like IFRS.
Builds and integrates data pipelines and software for climate-tech clients using Python and SQL, acting as a bridge between customer needs and technical execution.
Lead a team building cloud-based data pipelines and warehouses using Databricks, Snowflake, and related tools while translating business needs into scalable architectures.
Build and maintain ELT pipelines, model data in a warehouse, and create Metabase dashboards to deliver clean, actionable insights for an e-commerce startup.
Designs and operates scalable data platforms in Python and AWS to power real-time AI pipelines that enhance user experiences for a media-focused company.
Lead a team building and scaling a SaaS data and AI platform that optimizes industrial production chains, integrating pipelines and best practices across tech, data science, and DevOps.
Build and maintain real-time data pipelines processing 80M documents daily using Go, Python, and SQL in a microservices architecture.
Build and maintain scalable data pipelines and DevOps tooling for a hiring platform using C/C++, Go, JavaScript, Docker, Kubernetes, Kafka, and AWS.
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