Senior AI Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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