Senior ML Engineer (Hands‑on)

About the role

VavaCars is a data‑driven used‑car marketplace looking for a senior, hands‑on data leader to own data science, engineering and analytics. You will build and ship production models, run the pricing engine, and act as the data voice at the executive level.

Key responsibilities

• Own and improve the ML‑based vehicle price prediction system, including retraining, monitoring and production reliability.
• Present monthly data strategy updates to C‑level executives and translate business priorities into a data roadmap.
• Design, run and analyse A/B experiments for product and pricing decisions.
• Partner with other business areas to identify ML opportunities, develop models and ship them to production.
• Produce regular retail pricing reports, manage price adjustments and ensure timely delivery of pricing information.

Required profile

• 7+ years in data science, data engineering or analytics, with 2‑3 years leading a team or function.
• Strong hands‑on Python and SQL experience, including putting ML models into production and managing monitoring/retraining.
• Solid data‑engineering background building pipelines on cloud platforms (Azure preferred; AWS, GCP, Snowflake, Databricks also valuable).
• Experience with BI tools (Power BI or Tableau) and delivering business‑focused analytics.
• Professional‑level English and proven ability to communicate with senior stakeholders.

Required skills

• Python
• SQL
• Azure
• AWS
• GCP
• Snowflake
• Databricks
• Power BI
• Tableau
• A/B testing and statistics
• Docker
• CI/CD (GitHub Actions, Azure DevOps)
• FastAPI
• Flask
• LLMs, RAG pipelines, AutoGen, n8n, OpenAI APIs (nice‑to‑have)

What we offer

• Competitive compensation with performance bonus
• Private health insurance
• Transportation support
• Meal allowance