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Transit isn’t magic. But for millions of our riders, it sure feels that way! For the last decade our data scientists have come up with increasingly elaborate ways to blow riders’ minds off their hinges — whether by…
Build and deploy NLP/LLM and multimodal AI applications for automotive use-cases, from model training to scalable deployment using Python, TensorFlow/PyTorch, Docker, Kubernetes, and GCP.
Modalidad: Híbrida Tipo de contratación: Directa, permanente y a tiempo completo Sobre Workana Workana es la plataforma de trabajo remoto para talento más grande de Latinoamérica. Nuestra división se enfoca en conectar…
Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our…
Designs and maintains custom software for Formlabs' digital systems, including eCommerce, CRM, and ERP integrations, using TypeScript, Python, and Shopify development.
Builds and scales Python-based backend systems using Flask, FastAPI, and microservices on GCP, focusing on clean code, performance, and algorithmic optimization.
Senior/Staff SRE building and maintaining the cloud infrastructure behind Attain/Klover's US consumer fintech platform. Day to day: automating away manual toil, writing Terraform modules and Helm charts, running Kubernetes with Istio on GCP, improving observability with Prometheus/Grafana, and directing AI coding agents to build and ship infrastructure code.
Data engineer at Pulsover, a French data/cloud/IA consulting firm, joining a project team to modernize a client's data platform on GCP/BigQuery and migrate reporting to Apache Superset. Day to day: building ingestion and transformation flows, data modeling, and industrializing the platform (CI/CD, Terraform, cost optimization).
Staff Product Manager at DigitalOcean owning strategy, roadmap, and unit economics for App Platform, Serverless Functions, and Container Registry — managed compute services built on the Droplet fleet. Balances developer-experience and API design with cost-to-serve modeling, pricing, and compute/infrastructure decisions.
Data Engineer at NEVERHACK (a cybersecurity group) in Madrid, building data and AI solutions on Google Cloud Platform for strategic client projects — designing ETL/ELT pipelines, automation, integrations, and LLM-based AI agents (OpenAI/Gemini). Core stack: Python, SQL, BigQuery, Cloud Run/Functions, GitLab CI/CD.
Location: Lifesight - Innovation Hub - Bengaluru, KA, India Working Model : Work From Office (5 days) About Us Lifesight is a fast-growing SaaS company focused on helping businesses leverage data & AI to improve…
WongDoody creates human experiences at 24 studios across 4 continents. We believe the future can be molded. And by shaping human experiences through creativity and tech, we work to build a future we believe in. For us,…
Our Mission ButterflyMX is on a mission to empower people to open and manage doors & gates from a smartphone. Our products are installed in more than 20,000+ multifamily, commercial, gated communities, and…
We’re looking for a GCP data engineer with 4+ years of experience who can work independently across multiple client projects. Middle-level candidates are welcome, senior level is not required. The role involves working…
About AppNation We build AI-powered mobile apps that reach millions of users worldwide. Since 2021, AppNation has been creating products across AI, productivity, and mobile experiences. Our apps, including Genie,…
ABOUT DYSRUPIT DysrupIT is a leading global-based cloud services company. We support clients across the globe in their adoption of the cloud and their transformation to as-a-Service business models. DysrupIT is…
Job Title GCP AIOps Cloud Engineer Location Bangalore / India (Hybrid/Onsite as applicable) Experience Mandatory Skills • 3 to 8 years of hands-on experience with Google Cloud Platform (GCP). Role Summary We are…
A middle data analyst on the HomeIQ media buying team connects advertising spend with revenue: building automated Python/SQL pipelines into BigQuery, reconciling costs across ad platforms and affiliate networks, forecasting lead pricing, and maintaining daily/weekly/monthly performance dashboards for business stakeholders.
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