Related skills
nlp sql python tensorflow pytorch📋 Description
- Design, build, and deliver ML models and pipelines with DS/Research/Engineering.
- Own and evolve complex ML systems; ensure scalability and reliability in production.
- Drive ML lifecycle excellence from modeling to deployment and monitoring.
- Define production standards to boost quality and speed across Data & ML.
- Translate business problems into robust ML solutions with measurable impact.
- Act as technical leader and mentor to grow ML practices.
🎯 Requirements
- 5+ years in software engineering and deploying ML models in production.
- Strong programming knowledge, ideally Python.
- Experience with ML libraries: PyTorch, TensorFlow, XGBoost, scikit-learn, LightGBM.
- Good knowledge of SQL.
- Expertise in search, recommender systems, or NLP/LLMs.
- Fluent in English; able to distill complex ideas across teams.
🎁 Benefits
- Onboarding with culture, products, and services at Paris office.
- Equity: stock options.
- Sabbatical: one month paid every 3 years.
- Free books relevant to Malt’s business.
- Annual team building events.
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