Job
- Level
- Erfahren
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Hamburg
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du Produktions-ML-Systeme für den Echtzeit-Energiehandel, verbesserst MLOps-Pipelines und arbeitest an der Architektur von ML-Lösungen, um Geschäftsentscheidungen zu optimieren.
Job Technologien
Deine Rolle im Team
- Within Business Area Markets, business decisions are made around the clock and at high frequency, creating strong opportunities for intelligent automation and applied machine learning.
- As an ML Engineer in our Data Science team, you will design, build, and evolve machine-learning systems that run in production and directly support real-time electricity trading on the energy markets.
- Your work has immediate, measurable impact on trading decisions, asset optimization, and business outcomes.
- In this role, you will actively shape how our ML systems and platform evolve over time, rather than following a fixed blueprint.
- Own and develop production ML systems that support real-time trading and operational decision-making.
- Design and improve MLOps pipelines, including training, deployment, retraining, and monitoring.
- Build and operate real-time inference services, ensuring alignment between batch training and streaming inference.
- Contribute to ML and data architecture decisions, including trade-offs between batch and streaming processing and long-term maintainability.
- Collaborate closely with data scientists, traders, and engineers to translate business needs into robust, scalable ML solutions.
Unsere Erwartungen an dich
Ausbildung
- Degree in Computer Science, Engineering, Data Science, or similar, as well as fluency in English.
Qualifikationen
- The position is open to both mid-level and senior engineers.
- What matters most to us is drive, creativity, and the motivation to take ownership of impactful technical systems.
- If you want to influence architecture, challenge existing solutions, and see your work make a real difference, you'll fit in well.
- A solid understanding of ML system lifecycle challenges such as deployment, retraining, drift, and reproducibility.
- Familiarity with distributed or containerized systems (Docker, Kubernetes), or strong motivation to deepen this skillset.
- Most importantly: drive, curiosity, and creativity, with a mindset of ownership and a willingness to challenge and improve existing technical choices.
Erfahrung
- Experience working with production ML systems in Python, depth can vary by seniority.
- Interest in or experience with MLOps concepts and automated pipelines.
Unser Angebot
- This role offers a clear path to grow beyond implementation.
- Influence ML and data architecture decisions across BA Markets.
- Develop toward a technical lead or ML architect role over time.
- Deepen expertise in large-scale, streaming, and real-time ML systems used in a critical business domain.
Benefits
Gesundheit, Fitness & Fun
Mehr Netto
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Vattenfall
Vattenfall ist ein europäischer Energiekonzern mit rund 20.000 Beschäftigten. Wir produzieren Wärme und Elektrizität aus sechs verschiedenen Energiequellen: Wind, Wasser, Biomasse, Kernkraft, Kohle und Gas.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Energiewirtschaft, Umwelt
Dev Reviews
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Gesamt
(1 Bewertung)3.6
Engineering
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3.5Culture
3.7
Machine Learning Engineer
- Ort
- Hamburg
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
