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Parser
Parser
201 – 500 Xodimlar
Malakali ishchi vizasi homiysiKonsaltingMarketingSun’iy intellekt
Parser 2018-yilda tashkil etilgan texnologik yechimlar va konsalting kompaniyasi bo‘lib, tashkilotlarga murakkab biznes ehtiyojlarini hal qilishda sun’iy intellekt, ma’lumotlar va dasturiy ta’minot muhandisligidan foydalanishga yordam beradi. Kompaniya maxsus dasturiy ta’minot ishlab chiqish, sun’iy intellekt va ma’lumotlardan foydalanish, mahsulot dizayni hamda raqamli transformatsiya bo‘yicha konsalting xizmatlarini taqdim etadi. Parser texnologiya sohasidagi yetakchilar bilan hamkorlik qilib, ularning maqsadlariga moslashadigan yechimlarni ishlab chiqadi. Kompaniya muhandislik tajribasini amaliy innovatsiyalar va mijozlar bilan uzoq muddatli hamkorlikka e’tibor qaratish bilan uyg‘unlashtiradi.
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Kompaniyadagi ish o‘rinlari

Senior Backend Engineer, MLOps

Build scalable MLOps infrastructure for a global travel industry leader, including data pipelines, model deployment, and real-time machine learning systems. Join Parser’s hybrid team in Spain.

ESIspaniyaGibridTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaBackend muhandisiDasturiy ta’minot muhandisi
AWSBulutDockerJavaKafkaPythonSpark

Tavsif

  • Develop scalable infrastructure for machine learning training, deployment, and batch or real-time serving.
  • Build and maintain data pipelines for large-scale processing and feature engineering.
  • Tune compute usage and improve model-serving performance across ML systems.
  • Set up monitoring, logging, and alerting for ML systems.
  • Help develop ML operations practices, including CI/CD pipelines.
  • Partner with data scientists to move models from development into production.
  • Evaluate and integrate new technologies.
  • Guide junior engineers through mentorship.
  • Explain technical solutions to varied stakeholders.

Talablar

  • Bachelor’s or master’s degree in computer science, software engineering, or a related technical field.
  • Typically 6–7 years of experience in software, data, or machine learning engineering roles.
  • Strong problem-solving ability.
  • Proficiency in Java; Python knowledge is desirable.
  • Understanding of machine learning algorithms and model architectures.
  • Experience developing scalable, reliable machine learning systems.
  • Exposure to cloud platforms such as AWS.
  • Experience with Docker or other containerization.
  • Experience with scalable data systems such as Spark or Kafka.
  • Familiarity with CI/CD tools such as GitHub Actions.
  • Familiarity with model-serving technologies such as MLflow.
  • Ability to work effectively across teams.

Imtiyozlar

  • Friendly, collaborative team that values knowledge sharing and ongoing learning.
  • Action-oriented working culture.
  • Opportunity to build MLOps and machine learning infrastructure for real-time systems using technologies such as Java, Python, AWS, Docker, Kafka, Spark, and MLflow.

O‘xshash ish o‘rinlari

Spyrosoft

Business Analyst and Product Owner, Financial Experience

Spyrosoft
1 001 – 5 000 Xodimlar
Malakali ishchi vizasi homiysiAvtomobilsozlikKonsaltingSog‘liqni saqlash
PLPolsha
120 zł – 147 zł / oy
MasofaviyTo‘liq stavkaJuniorO‘rta darajaDiplom talab qilinmaydiTalab Qilinadigan Til: inglizchaMahsulot tahlilchisi
AzureERP

Shape accounting and finance workflows into roadmaps for HR and ERP platforms. Work with client experts and cross-functional teams to guide delivery at Spyrosoft.

Ochish
knowmad mood

Frontend React Native Developer

knowmad mood
1 001 – 5 000 Xodimlar
KonsaltingLogistikaSog‘liqni saqlash
ESIspaniyaMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaTalab Qilinadigan Til: ispanchaDasturiy ta’minot muhandisi
AndroidJavaScriptReactReact Native

Build React Native apps for Smart TVs and entertainment products at knowmad mood, a digital transformation company. Develop scalable frontend experiences with JavaScript, React Native, and Power Platform.

Ochish