Big Data Jobs in Zürich
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Suchergebnisse - Big Data Jobs in Zürich
HICO Group AGZürichjoin.com
unterschiedlichsten Datenquellen und schreckst auch vor der Cloud und Big Data nicht zurück?
• Du erarbeitest gerne Lösungen für komplexe Sachverhalte und kannst diese verständlich kommunizieren?
• Eigenverantwortlich implementierst du anspruchsvolle...
IBMZürich
and validating AI models and creating and maintaining statistical models with a focus on big data & incorporating machine learning.
Writing programs to integrate data in an efficient and scalable manner.
Working in an agile, collaborative environment...
HICO Group AGZürich
unterschiedlichsten Datenquellen und schreckst auch vor der Cloud und Big Data nicht zurück?
• Du erarbeitest gerne Lösungen für komplexe Sachverhalte und kannst diese verständlich kommunizieren?
• Eigenverantwortlich implementierst du anspruchsvolle...
Kanadevia Inova AGZürich
Digestion by coordinating and consolidating all detailed estimations from the departments involved
You conduct sanity checks of given data and follow-up on information required from Sales, Contract Management, Engineering, and Supply Chain
You calculate...
Zurich 56 Company LtdZürich
analyses data, draw the relevant conclusions and then work with others to implement opportunities or remediate risks. This is a challenging senior role, requiring a broad understanding of IT technology, service management processes and the ability...
Lightly AGZürichappcast.io
At the ETH spin‑off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power. Our customers already face this problem...
CH_Prog_Partner_Whatjobs_Mixed_CPCZürich
units; Participate in the compensation surveys as part of the annual external benchmarking; Responsible for the updating and maintenance of compensation related data; Effectively partner with HR and Business clients to manage, consult, and resolve...
coni+partner AGZürich
Business Continuity, Disaster Recovery, Governance und Best Practice / Interesse an Technologien wie KI, Cloud-Plattformen, Container-Technologien, Microservices-Architekturen, Datenanalyse/Big Data, API-basierten Integrationen sowie DevOps- und CI/CD...
SMG Swiss Marketplace GroupZürich
users
Effectively communicate insights and findings to represent and address user needs and insights during product development
Collaborate with different stakeholders from various areas, including product, design, marketing, data, and strategy...
DecentriqZürichjoin.com
Must have) Experience running workloads in Databricks, Spark on Kubernetes, or other cloud/on-prem big-data platforms.
• (Plus) Working knowledge of ML lifecycle and model serving; familiarity with techniques for audience segmentation or look-a-like...
SMG Swiss Marketplace GroupZürich
and address user needs and insights during product development
• Collaborate with different stakeholders from various areas, including product, design, marketing, data, and strategy, to (further) develop our products with a focus on user experience...
Ernst & Young Advisory Services Sdn BhdZürichappcast.io
technology to enable you to become the best version of yourself.
Our Financial Services Organisation is unique among the Big 4 firms, being the only one with a functional specialisation in the Financial Services sector that is transnationally integrated...
Amazon Web Services (AWS)Zürich
or strong interest in the Startup ecosystem
Experience of Software, Systems or Data Design
In‑depth working knowledge in a technology domain such as distributed internet‑scale web or mobile applications, DevOps, Serverless, Big Data, Analytics...
DecentriqZürichjoin.com
Decentriq is the rising leader in data-clean-room technology. With Decentriq, advertisers, retailers, and publishers securely collaborate on 1st-party data for optimal audience targeting and campaign measurement. Headquartered in Zürich, Decentriq...
Lightly AGZürichjoin.com
At the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power. Our customers already face this problem...
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