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Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Take end-to-end ownership of product-facing models, from problem definition and experimentation through to a deployed solution.
- Develop the AI&ML capabilities spanning personalisation, recommendations, LLM-powered and generative features, embeddings, and forecasting.
- See your work through to production, partnering with Engineering on deployment, latency, cost, and monitoring.
- Establish a clear definition of success for each initiative and demonstrate product impact through metrics.
- Contribute to the technical direction of applied AI&ML and help shape team standards.
- Support the development of fellow scientists and engineers, leading by example.
Requirements
What you’ll need- Around 4+ years of experience building and shipping machine learning in production
- Genuine depth in modern machine learning, recommendation and personalization systems, embeddings, and forecasting
- Fluent in Python and have worked hands-on on ML solutions
- Track record of developing solutions from an open problem to a validated solution running in production
- Experience embedding machine learning into a live SaaS or consumer product would be a strong plus
- Familiarity with the broader production path, including deployment, inference optimization, and model monitoring, is welcome.
Benefits
Comp & perks- Attractive compensation package
- Competitive salary packages based on your experience and role.
- Hybrid model with 3 days per week in the office
- Enjoy up to 15 days of remote work from abroad each year.
- Stay active with a specially discounted HelloCSE membership.
- Multicultural colleagues, after-work events, team-building & more.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningrecommendation systemspersonalization systemsembeddingsforecastingPythoninference optimizationmodel monitoringSaaSproduction deployment
Soft Skills
leadershipproblem definitionexperimentationtechnical directionteam standardsmentorshipcommunicationcollaborationmetrics analysisproduct impact
