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1 день назад

Senior Data Engineer (AI/ML)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia
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 Data Engineer (AI/ML) (Python/Go, Snowflake, Kubernetes): Build and scale reusable data products, reliable pipelines, and ML-powered systems for a commercial banking platform with an accent on data product ownership, quality, and cross-team reuse. Focus on designing OCR, transaction coding, RAG, and agentic systems, implementing monitoring and SLAs, and partnering directly with internal data consumers.

Location: Hybrid role based in Belgrade, with an office in Belgrade

Company

hirify.global provides a connected commercial banking platform for startups, including accounts, cards, expense management, bill payments, and bookkeeping.

What you will do

  • Design, build, and own reliable, scalable, documented data products, pipelines, and datasets.
  • Apply production software engineering practices, including clean code, testing, version control, and CI/CD, to data and ML systems.
  • Build reusable ML-powered products such as OCR pipelines, transaction coding suggestions, RAG systems, and agentic tools.
  • Implement data quality checks, monitoring, alerts, and SLAs for dependable internal data products.
  • Work directly with data product consumers, business intelligence, and analytics teams to gather requirements and feedback.
  • Lead initiatives that expand the data product catalog and improve the supporting platform.

Requirements

  • 5+ years of experience in data engineering, software engineering, or DevOps.
  • Proficiency with workflow orchestrators such as Airflow, Dagster, or Prefect.
  • Experience with Snowflake, Databricks, BigQuery, or comparable data platforms.
  • Experience building cloud data infrastructure with GCP, AWS, or comparable providers, plus deploying services on Kubernetes.
  • Practical Terraform or Pulumi experience and advanced Python, Go, and SQL skills; Java experience is also considered.
  • Experience owning data products or pipelines, designing systems for reuse across teams, and collaborating directly with consumers.

Nice to have

  • Experience building data platforms or data product suites from the ground up.
  • Experience deploying ML models, RAG systems, vector databases, MLflow, or agents in production.
  • Knowledge of Data Mesh, Kimball, Inmon, Data Vault, streaming systems, or monitoring tools such as Prometheus.
  • Experience with BI tools such as Omni or Power BI.

Culture & Benefits

  • Private healthcare insurance for employees and family members.
  • Generous paid time off and paternity leave.
  • Lunch at the office and covered parking for onsite staff.
  • Learning and development budget.
  • Hybrid work environment from the old town Belgrade office.

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