Parser
Parser
Parser ir 2018. gadā dibināts tehnoloģiju risinājumu un konsultāciju uzņēmums, kas palīdz organizācijām izmantot mākslīgo intelektu, datus un programmatūras inženieriju sarežģītu uzņēmējdarbības vajadzību risināšanā. Uzņēmuma darbība ietver pielāgotu programmatūras izstrādi, mākslīgā intelekta un datu izmantošanu, produktu dizainu un digitālās transformācijas konsultācijas. Parser sadarbojas ar tehnoloģiju līderiem, lai izstrādātu viņu mērķiem pielāgojamus risinājumus, apvienojot inženierzināšanas ar praktisku inovāciju un ilgtermiņa klientu partnerību pieeju.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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.

Saistītās vakances

Spyrosoft

Business Analyst and Product Owner, Financial Experience

Spyrosoft

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.

Atvērt
knowmad mood

Frontend React Native Developer

knowmad mood

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.

Atvērt
HeadHunters Hub

Remote IT Project Manager, Messaging Platform

HeadHunters Hub

Lead the delivery and launch of an internal messaging tool as a commercial B2B platform for a Cyprus-based fintech company. The role spans project planning, product commercialization, and ongoing development.

Atvērt
HeadHunters Hub

Senior Card Acquiring Sales Executive

HeadHunters Hub

Sell merchant acquiring and alternative payment solutions for a global FinTech, developing sales pipelines and partnerships across Poland and the EU. This remote role is based in Poland and focuses on revenue growth.

Atvērt