Role overview
- You are a good human, easy to work with, empathetic, open-minded and a team player.
- Our values (Responsiveness, Empowerment, Diversity, Social Responsibility, Innovation, Fairness, Trust) make sense to you.
- You are driven, and having a lot of autonomy motivates you.
- You have a customer-centric mindset: you really care about the customer outcomes.
- You understand that every decision you make has trade-offs and feel confident making decisions while moving quickly and building secure, scalable and resilient solutions to unexplored, complex technical problems.
- You don’t mind rolling up your sleeves and getting your hands dirty with tech debt or digging out annoying bugs.
- You are a collaborative ML/AI Engineer with proven professional experience in programming languages like Python, JavaScript/TypeScript and other relevant ML/AI technologies
- You possess a strong understanding of cloud computing, microservices, API design, and event-driven architectures.
- You are enthusiastic about observability, and take charge of features delivered by monitoring their functionality and effectiveness after deployment.
- You thrive in a team environment, effectively communicating and contributing independently when needed.
- You are comfortable with collaborating with other teams and other departments.
- You are excited about AI and are already integrating AI tools into your daily process.
What you'll work on
- Design, develop, and deploy production-grade ML/AI features — from data prep and model training to inference APIs and monitoring.
- Integrate and scale LLMs & generative AI within product workflows, including fine-tuning, prompt engineering, RAG (retrieval-augmented generation), agentic systems.
- Collaborate with product, backend, and frontend teams to deliver impactful AI-driven experiences.
Tags & focus areas
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