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Data Engineer at Indra Group on a strategic cyberdefense project (European programs): designing and maintaining robust data pipelines, handling massive data ingestion, and ensuring data quality and traceability. Core stack: SQL, Python/Scala/Java, and orchestrators like Airflow, NiFi, or Prefect. Hybrid in Madrid.
Data Engineer at Indra Group in Madrid (hybrid) joining a strategic cyberdefense project within European defense initiatives. Day to day: designing and maintaining ETL/ELT pipelines, ingesting and transforming large data volumes, ensuring data quality, and orchestrating flows with Airflow, NiFi or Prefect using Python, Scala or Java.
Data Engineer at Indra Group's defense unit in Madrid (hybrid), joining a strategic cyberdefense project. Day to day: designing and maintaining scalable ETL/ELT pipelines, ingesting and transforming large data volumes, orchestrating flows with Airflow/NiFi/Prefect, and optimizing relational and NoSQL databases.
Build and own Fleet Manager, a Python-based platform that automates provisioning, testing, and remediation of GPU nodes and network switches at scale for Nscale’s AI GPU cloud.
Build and maintain the control plane and automation for AI/HPC infrastructure, including GPU fleet provisioning, network operations, and observability to improve system availability and reduce costs.
Technical lead for Nscale's Fleet Manager platform, building Python-based workflow automation that provisions, tests, monitors, and self-heals GPU nodes and network switches across its GenAI cloud. Owns architecture and delivery, mentors senior engineers, and integrates tooling like NetBox, OpenStack, MAAS, and Ironic.
About the role We are looking for a Senior AI Engineer with solid experience in supply chain AI solutions and a strong understanding of software development/deployment. This role is crucial to building scalable AI…
Vous faites partie de celles et ceux qui pensent que même avec plusieurs années d’expérience, on continue à apprendre ? Alors nous sommes sur la même longueur d'onde ! Et si on en parlait ? Au sein de l’Atelier…
SUMMARY Responsibilities Design, build, and optimize ETL/ELT pipelines for batch and streaming data Develop and maintain data warehouses and data lakes (e.g., Snowflake, BigQuery, Redshift) Collaborate with data…
Build and operate ML pipelines for SQC's quantum-enhanced AI system, Watermelon. You will manage data ingestion, training/evaluation workflows, and experiment tracking while benchmarking quantum features against classical baselines using Python, PyTorch/JAX, and orchestration tools like Airflow or Dagster.
Build and deploy machine learning models to automate the calibration of silicon qubits. You will develop systems for drift detection, uncertainty quantification, and sequential optimization using Python, PyTorch/JAX, and Bayesian methods to drive physical hardware operations.
Software Engineering - MTS, Trust Intelligence Platform Location: California - San Francisco Remote Type: Office Tech-Flexible Time Type: Full time Job Description To get the best candidate experience, please consider…
Builds and maintains data pipelines for a real-time in-game store recommendation engine, sourcing external market signals and serving competitiveness scores via AWS and ClickHouse.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated…
Mavenir is building the future of networks and pioneering advanced technology, focusing on the vision of a single, software-based automated network that runs on any cloud. As the industry's only end-to-end,…
We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends…
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Designs, builds, and operates production-grade agentic AI applications that automate and optimize AI-factory operations across Firmus's Model-to-Grid platform. Day to day: building LLM agent orchestration, RAG pipelines, and tool integrations using Python, agent frameworks like LangGraph/LangChain, vector databases, and Kubernetes-based observability and evaluation tooling.
Compensation: $60k – $120k • No equity Team: AI & Engineering | Location: Remote / USA/San Francisco | Type: Full-time | Reports to: AI Engineering Lead About us Come and part of our detailed plan to sign each top…
Client-facing Senior Data Engineer (Marketing & BI) in Kuala Lumpur: ~70% delivering SQL-based data models, cloud-warehouse pipelines and BI dashboards for marketing and e-commerce clients, ~30% building internal capability. Core stack is BigQuery (plus Snowflake/Databricks/Redshift) with Looker Studio, Power BI or Tableau.