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4 дня назад

Senior AI Data Engineer (AI)

3 310
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Lithuania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior AI Data Engineer (AI/Data Engineering): Designing and maintaining scalable data platforms and AI-ready data pipelines to power machine learning and generative AI solutions with an accent on MLOps, vector databases, and high-performance data storage. Focus on building feature engineering pipelines, integrating RAG architectures, and optimizing data processing for AI-driven products.

Location: Vilnius, Lithuania

Salary: From 3310 EUR/month (gross)

Company

hirify.global is a game development company that creates world-class games loved by millions of players globally.

What you will do

  • Design and optimize scalable batch and real-time data pipelines, including the maintenance of data lakes and warehouses.
  • Implement data modeling, transformation, validation, and governance processes to ensure data reliability and security.
  • Build data infrastructure supporting machine learning and generative AI, including feature stores and embedding pipelines.
  • Integrate vector databases and retrieval systems to support RAG architectures for GenAI applications.
  • Design cloud-native data solutions on AWS, Azure, or GCP using infrastructure-as-code and CI/CD automation.
  • Collaborate with Data Scientists and stakeholders to operationalize AI solutions and define technical requirements.

Requirements

  • 5+ years of experience in Data Engineering.
  • 2+ years of experience working with AI/ML platforms or AI-powered products.
  • Strong proficiency in Python and SQL, with hands-on production experience using ClickHouse.
  • Proven track record of building large-scale ETL/ELT pipelines and working with distributed systems.
  • Experience with Spark, Databricks, Kafka, and workflow orchestration tools such as Airflow, Dagster, or Prefect.
  • Solid knowledge of major cloud platforms (AWS, Azure, or GCP).

Nice to have

  • Experience with vector databases like Qdrant, Pinecone, Weaviate, or Milvus.
  • Knowledge of LLMs, RAG architectures, MLOps, MLflow, or Kubeflow.
  • Proficiency with Docker, Kubernetes, Terraform, and modern CI/CD practices.

Culture & Benefits

  • Commitment to continuous self-development through Level Up Talks and access to book libraries.
  • Stress-free work environment designed to support creativity and high-quality output.
  • Health and wellness perks, including discounts on sports activities and medical check-ups.
  • Additional health insurance or access to a wellness platform after one year of employment.
  • Vibrant social culture with daily free drinks, fresh fruits, weekly breakfasts, and monthly get-togethers.
  • On-site relaxation areas with football, pool, table tennis, and various gaming consoles.

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