Awin
Senior Data Engineer(m/w/x)
Vollzeit
mit Homeoffice
Senior
Keine Angabe
Berlin
AW
Awin6 Tage
Senior Data Scientist & ML Engineer(m/w/x)
Vollzeit
mit Homeoffice
Senior
AI/ML Job
Keine Angabe
Berlin, München
Nejo KI-Zusammenfassung
In this role, you will be at the forefront of AI/ML initiatives, designing scalable data architectures and optimizing machine learning applications. Your day-to-day responsibilities will involve collaborating with teams globally, mentoring junior engineers, and ensuring the reliability and performance of advanced AI systems.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics
- •At least 5 years experience as AI/ML data engineer
- •Strong foundation in computer science principles and statistical methods
- •Strong experience with cloud technology (AWS or Azure)
- •Strong experience with creation of data ingestion pipeline and ET process
- •Strong knowledge of big data tools such as Spark, Databricks and Python
- •Strong understanding of common machine learning techniques and frameworks
- •Strong knowledge of Natural language processing (NLP) concepts
- •Strong knowledge of scrum practices and agile mindset
- •Strong analytical and problem-solving skills with attention to data quality and accuracy
- •Clear communication of technical concepts and effective collaboration across teams
- •Adaptability to new technologies and a proactive approach to learning and growth
- •Team-oriented mindset, working closely with data scientists, AI engineers, and cross-functional teams
- •Openness to feedback and collective problem-solving for continuous improvement
- •Team player, willing to improve yourself
Bachelor-Abschluss
ODER
Master-Abschluss
Berufserfahrung
5 Jahre
Deine Aufgaben
- •Design and maintain scalable data pipelines for ML workloads
- •Productionise LLM- and agent-based workflows
- •Build and maintain feature stores and core data assets for ML
- •Develop end-to-end traditional ML pipelines
- •Implement data quality checks and drift detection
- •Optimise cost, latency, and performance of AI/ML infrastructure
- •Collaborate with data scientists to deliver production-ready systems
- •Ensure compliance with governance and security requirements
- •Mentor junior engineers and drive innovation in ML practices
- •Participate in project planning and strategy discussions
Tools & Technologien
AWSAzureSparkDatabricksPythonmlflow
Sprachen
Englisch – verhandlungssicher
Deine Vorteile
Flexibles Arbeiten
- •Flexible four-day work week
Mehr Urlaubstage
- •Paid special leaves
Sinnstiftende Arbeit
- •Volunteer days
Sonstige Zulagen
- •Monthly remote working allowance
Betriebliche Altersvorsorge
- •Pension insurance access
Weiterbildungsangebote
- •Extensive training suite
Boni & Prämien
- •Peer-to-peer reward program
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Awin erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Ähnliche Jobs direkt in deine Inbox?
Noch nicht perfekt?