Your mission

• Solve complex problems using the right AI/ML approach, from classic ML to GenAI and LLMs, depending on the problem.
• Design AI/ML systems and architecture, including greenfield projects.
• Evaluate, monitor, and maintain AI/ML pipelines in production — not only build AI/ML solutions, but also assess their performance and keep them reliable over time.
• Audit our current AI setup and help define the AI strategy and roadmap.
• Lead cross-functional AI initiatives and drive them from idea to implementation.
• Challenge existing technical decisions constructively and stay focused on the product and the result.
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Your background

• Proven experience leading AI/ML projects end-to-end in a startup/product environment.
• Strong AI/ML and Data Science expertise, including classic ML and GenAI, with a solid software engineering foundation and hands-on experience building AI/ML solutions.
• Understanding of data and ML infrastructure, including data quality, feature/data pipelines, model serving, observability, deployment, and lifecycle management.
• Strong system design and architecture skills.
• Proactive, ownership-driven, and results-oriented, with a strong product mindset.
• Open to feedback and comfortable challenging technical decisions constructively.

Your mission

• Solve complex problems using the right AI/ML approach, from classic ML to GenAI and LLMs, depending on the problem.
• Design AI/ML systems and architecture, including greenfield projects.
• Evaluate, monitor, and maintain AI/ML pipelines in production — not only build AI/ML solutions, but also assess their performance and keep them reliable over time.
• Audit our current AI setup and help define the AI strategy and roadmap.
• Lead cross-functional AI initiatives and drive them from idea to implementation.
• Challenge existing technical decisions constructively and stay focused on the product and the result.
• 
  

Your background

• Proven experience leading AI/ML projects end-to-end in a startup/product environment.
• Strong AI/ML and Data Science expertise, including classic ML and GenAI, with a solid software engineering foundation and hands-on experience building AI/ML solutions.
• Understanding of data and ML infrastructure, including data quality, feature/data pipelines, model serving, observability, deployment, and lifecycle management.
• Strong system design and architecture skills.
• Proactive, ownership-driven, and results-oriented, with a strong product mindset.
• Open to feedback and comfortable challenging technical decisions constructively.