1 день назад
Senior Data Engineer (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
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