NEXTON
Tech / AI / Software
LeadDataEngineer/MLH/F
“Lead Data Engineer / ML H/F at NEXTON. Skills: Data Engineering, Machine Learning Engineering, MLOps, Search Optimization, Ranking Models, Recommendation Systems. Optimize search engines, ranking models (Learning to Rank), and recommendation models. Build end-to-end ML pipelines for semantic search, personalization, and product ranking”
What You'll Achieve.
Optimized ranking and recommendation models; Monitoring pipelines and A/B test reports
Industry & Context.
What They're Looking For.
Must Have
Python, SQL, Statistiques, PyTorch, TensorFlow, AWS SageMaker, Airflow, FastAPI, dbt, Snowflake, Docker, Kubernetes
Nice to Have
ML models deployed to production with measurable impact, Hybrid role between Data Scientist and ML Engineer, Product-oriented and business impact driven mindset
What You'll Do.
Optimize search engines
ranking models (Learning to Rank)
and recommendation models
Build end-to-end ML pipelines for semantic search
Deploy solutions in production
Contribute to Feature Store architecture
Automate model retraining (CI/CD for ML)
Lead technical choices (algorithms
data transformations)
Participate in sandbox evaluations for future technology
Ingest and compute features using Snowflake and dbt
How You'll Work.
Team & Collaboration
Collaborate with backend engineers for production deployment; Navigate complex and changing architectural discussions
Communication Scope
Excellent communication for navigating complex and changing architectural discussions
Applying for this Lead Data Engineer / ML H/F role?
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