3 beste Stellen als deep learning in kehl – aktuell auf Personalsuche

Staff Machine Learning Engineer - Pricing & Revenue (m/f/d)
happyhotel —Offenburg
- Vollzeit
- Homeoffice
- Master
Direkt bewerben
Staff Machine Learning Engineer - Pricing & Revenue (m/w/d)
happyhotel —Offenburg
- Vollzeit
- Homeoffice
- Englisch
- SQL
- Machine Learning
Direkt bewerben
Senior Software Engineer (Typescript/Angular) (m/f/d)
happyhotel —Offenburg
- Vollzeit
- Homeoffice
Direkt bewerben

Discover related jobs

Based on your search for deep learning jobs.

Quereinstieg KI Specialist – 100 % remote, ohne Vorkenntnisse (m/w/d)
LearnWise GmbH für Aus- und Weiterbildung —Offenburg
Die LearnWise Academy ist ein AZAV-zertifizierter Bildungsträger mit Fokus auf praxisnahe Weiterbildungen in digitalen Zukunftsbereichen.
50.000 € – 90.000 € pro Jahr
Direkt bewerben
5 Tage
Quereinstieg als Prompt Engineer (m/w/d) – 100% remote
mycareernow GmbH —Offenburg
Mycareernow ist ein nach AZAV zertifizierter Bildungsträger mit klarem Fokus auf Projektmanagement und Künstliche Intelligenz.
Ab 50.000 € pro Jahr
Direkt bewerben

Ich möchte aktuelle Job-E-Mails für Stellen als deep learning in kehl erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

deep learning jobs near kehl

Jobs als Ingenieur in Offenburg

Jobs als Laser Engineer in München

Jobs als Machine Learning Engineer in Baden Württemberg

Jobs als Machine Learning Engineer in Düsseldorf

Jobs als Machine Learning Engineer in Hamburg

Jobs als Machine Learning Engineer in Frankfurt Am Main

Jobs als Umwelt Ingenieur in Aachen

Jobs als Ingenieur in Berlin

Jobs als Ingenieur in Bamberg

Jobs als Ingenieur in Saarland

Jobs als Ingenieur in Chemnitz

Jobs als Senior Software Engineer in Neuwied

Jobs als Senior Accountant in Frankfurt Am Main

Jobs als Embedded Software in Karlsruhe

Jobs als Senior Software Engineer in Duisburg

Staff Machine Learning Engineer - Pricing & Revenue (m/f/d)

happyhotel -
Offenburg

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Master

Vollständige Stellenbeschreibung

Your Role

You will take on technical leadership and end-to-end ownership for our Pricing/Revenue-ML topics—with a clear focus on measurable impact. You will work closely with Product and Engineering, define measurability/experiments, and ensure that our models not only “look good” but also perform reliably in practice.

Important: No disciplinary personnel responsibility. You lead through expertise, standards, and ownership.

Your Responsibilities

End-to-End Ownership: You are responsible for the entire lifecycle of pricing and revenue topics—from hypothesis to implementation to measurable evaluation. Your focus: Clear business uplift.
Smart Modeling: You develop and optimize forecasting and pricing models. You pragmatically decide which method gets us to the goal fastest and most stably.
Signal Expertise: You manage time series, demand signals, and heterogeneous data sources. You ensure that features and labels are defined absolutely clean and “leakage-proof.”
Experimentation Framework: You build a robust measurement system (holdouts, A/B tests, guardrails) and define crystal-clear criteria for rollout decisions.
Engineering-Grade ML: You establish standards for backtesting, reproducibility, and versioning. For us, it's: Engineering quality instead of notebook-only.
Reliable Operations: You ensure operations through smart monitoring, drift detection, and pragmatic retraining mechanisms.
Automation & Scale: You automate high-leverage processes (backtests, monitoring checks) to massively increase throughput and quality.
Data Foundation: Where it makes sense, you design data models directly in the warehouse (Snowflake/dbt) as a basis for reliable metrics and features.
Full Transparency: You standardize dashboards (e.g., Metabase) for our business KPIs and ensure the data quality is beyond reproach.
Stakeholder Sparring: You prioritize requirements together with Product & Revenue and translate them into ML solutions. Your motto: Impact over output.

Your Profile

Deep Experience: You have 5+ years relevant experience in ML Engineering, Data Science, or Analytics (or an equivalent track record that convinces us).
Proven Impact: You have already achieved demonstrable success in the areas of pricing, revenue, forecasting, or similar “money systems.”
Evaluation Pro: You think offline vs. online, immediately recognize bias/leakage, and master the fundamentals of robust metrics and guardrails.
Tech Stack: Your Python and SQL skills are production-level (testable, versioned, reproducible).
Startup DNA: You love the 80/20 principle, work extremely pragmatically, and want full ownership for your topics.
Language Skills: You communicate fluently and confidently in English.

Bonus Points (Nice-to-haves)

Domain Knowledge: Experience in revenue management or dynamic pricing (e.g., travel, mobility, eCommerce).
Demand Understanding: You know how seasonality, events, and lead times affect pricing.
Modern Toolchain: You are proficient in analytics engineering (dbt, Snowflake, Metabase) and know how to build a clean data foundation.

Direkt bewerben

Erweiterte Suche

deep learning Jobs in kehl

Staff Machine Learning Engineer - Pricing & Revenue (m/f/d)

Staff Machine Learning Engineer - Pricing & Revenue (m/w/d)

Senior Software Engineer (Typescript/Angular) (m/f/d)

Discover related jobs

Ich möchte aktuelle Job-E-Mails für Stellen als deep learning in kehl erhalten

Weitere Job-Standorte erkunden

Your Role

Your Responsibilities

Your Profile

Bonus Points (Nice-to-haves)

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt