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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer - Machine Learning (Machine Learning/Generative AI): Building and operating production systems for optimisation, forecasting, machine learning, and Generative AI products with an accent on scalable data and ML pipelines, reliable deployment, and observability. Focus on productionising models, enabling experimentation and evaluation, and operating Databricks, Docker, and Kubernetes workloads.
Salary: Not specified
Company
hirify.global operates a pan-European fashion and lifestyle e-commerce ecosystem. Lounge by hirify.global provides time-limited fashion and lifestyle product sales across more than 20 European countries.
What you will do
Build and operate production systems for optimisation, forecasting, machine learning, and Generative AI use cases.
Design scalable data and ML pipelines with Python, Databricks, Spark, Airflow, and dbt, including data contracts and reliable failure handling.
Provide reusable training, evaluation, deployment, and experiment-tracking capabilities for Applied Scientists.
Productionise models by defining dependable inputs and outputs, automating deployment, monitoring quality and performance, and tracing model behaviour in production.
Develop Databricks jobs and Dockerised applications running as Kubernetes pods where appropriate.
Build dashboards, alerts, and runbooks; collaborate with product and commercial partners; and improve standards for testing, code review, CI/CD, observability, and operational ownership.
Requirements
3+ years of experience building and running data or ML systems in production, such as MLOps, data engineering, ML platforms, or ML product development.
Maintainable production Python and established software-delivery practices, including automated testing, code review, and CI/CD.
Strong software engineering fundamentals in reliability, scalability, observability, and maintainable system design.
Understanding of cloud workload deployment and operation, including AWS, Docker containers, and Kubernetes-based execution.
Clear communication with technical and non-technical stakeholders and the ability to turn ambiguous problems into dependable systems.
Nice to have
Experience with Generative AI products, including LLM evaluation and monitoring.
Familiarity with AI-assisted development tools such as Codex, Claude Code, or Copilot.
Culture & Benefits
Inclusive-by-design culture with accommodations available during the candidate experience.
Employee shares program and product discounts, including 40% off hirify.global fashion and beauty products and 30% off Lounge by hirify.global.
27 days of vacation per year for full-time employees and two paid volunteering days annually.
Relocation assistance is available subject to prior agreement.
Family services, health and wellbeing options, mental health support, training, and biannual peer-to-peer review.
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