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Gauss Labs
Gauss Labs
11 – 50 Darbuotojai
H1B vizos rėmėjasAutomobilių pramonėKonsultavimasStatyba
„Gauss Labs“ kuria pramoninio dirbtinio intelekto sprendimus gamybos įmonėms, taikydama mašininį mokymąsi procesų stebėsenai, valdymui ir anomalijų aptikimui. Įmonės produktų portfelį sudaro „Panoptes Virtual Metrology“, „Image Metrology“ ir „Root Cause Analysis“, padedantys gamintojams didinti procesų tikslumą ir veiklos efektyvumą. Iš pradžių įmonė daugiausia dėmesio skiria puslaidininkių gamybai, o vėliau plečia dirbtinio intelekto taikymą automobilių, baterijų, elektronikos ir farmacijos gamyboje.
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Darbai įmonėje

Senior Data Scientist, Manufacturing AI (Hybrid)

Lead manufacturing-focused AI and data science initiatives at Gauss Labs in a hybrid role. Build scalable industrial AI solutions by combining customer data analysis, modeling, and cross-functional product collaboration.

USJungtinės ValstijosCAKalifornijaHibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDuomenų mokslininkas
AWSAzureDebesijaPythonSQL

Aprašymas

  • Create and deploy tailored AI solutions for manufacturing environments
  • Examine manufacturing data to uncover opportunities and build predictive models
  • Work directly with customers to define needs and deliver understandable, evidence-based solutions
  • Coordinate with internal teams to validate feasibility, scalability, and product alignment
  • Communicate analytical results to both technical and non-technical audiences
  • Guide the creation of advanced AI applications for manufacturing use cases
  • Extract insights from customer datasets to identify valuable opportunities
  • Build custom data models and analytical tools around customer requirements
  • Partner across functions to develop AI products and shape potential product enhancements

Reikalavimai

  • Bachelor’s or master’s degree in engineering, science, or a related discipline
  • At least three years leading AI or data science projects in semiconductor manufacturing or another manufacturing domain
  • Demonstrated ability to solve complex problems with a strong customer-oriented approach
  • Proficiency with Python and SQL
  • Capacity to work effectively both independently and collaboratively
  • A master’s degree in computer science, data science, or a related area is preferred
  • Experience with predictive modeling and cloud services such as AWS, Azure, or Google Cloud is preferred
  • Strong communication skills, including the ability to explain complex technical ideas clearly, are preferred

Susiję darbai

GlobeLife

Remote Customer Retention Representative

GlobeLife
1 – 10 Darbuotojai
MokslasSveikatos priežiūraŠvietimas
USJungtinės ValstijosNuotolinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųKlientų išlaikymo specialistasKlientų sėkmė

Help Globe Life policyholders keep their coverage and restore lapsed life insurance policies in this remote customer retention role. Handle inbound and outbound calls, discuss coverage and payment options, document outcomes, and meet retention targets.

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I

Senior Engineering Manager, Risk Engineering

Imprint
201 – 500 Darbuotojai
FinansaiKonsultavimasRinkodara
USJungtinės ValstijosCAKalifornijaNYNiujorkas
220 000 $ – 235 000 $ / metai
HibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųInžinerijos vadovas
AWSDynamoDBGoKafkaKubernetesMySQLPaskirstytosios sistemos

Lead backend teams responsible for real-time payment authorization, fraud decisions, and underwriting at Imprint, an embedded payments and credit platform.

Atidaryti
Commonwealth Bank

Senior Engineering Manager, Payments Technology

Commonwealth Bank
Kvalifikuoto darbuotojo vizos rėmėjasBankininkystėDraudimasKonsultavimas
AUAustralijaDarbas vietojeVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųInžinerijos vadovas
AWSDebesijaKibernetinis saugumasMikropaslaugosPaskirstytosios sistemos

Lead payment reporting platforms across five engineering squads at Commonwealth Bank, guiding cloud modernisation, real-time data and AI-assisted engineering in Australia.

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