Senior AI Engineer - MLOps (f/m/div.)
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Client:
Location:
Lisbon, Portugal
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
f4fc2ff3968e
Job Views:
3
Posted:
25. 05. 2025
Expiry Date:
09. 07. 2025
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Job Description:
Join our global Data Science team to develop
- driven AI solutions for our internal clients using advanced Machine Learning techniques. Collaborate across Bosch units to enhance existing cloud solutions and explore new ML use cases. Discover and analyze our business data platform to generate insights that influence
- making at Bosch.
Responsibilities: Work directly with internal stakeholders and an international team of developers and Data Scientists to extract insights from our global business data platform.
Future shaping: Contribute to the strategic direction of Bosch through work with the Business Intelligence team, Data Modelers, Data Engineers, and Business Analysts.
Innovation and creativity: Embrace agile values, contribute ideas, and leverage your creativity for team and company benefit.
Entrepreneurial mindset: Experience startup spirit within Bosch, applying entrepreneurial thinking and actions to contribute effectively.
QualificationsEducation: M. Sc. or Ph. D. in Computer Science, Data Science, Mathematics, Statistics, Physics, Bioinformatics, or related fields.
Experience: Minimum 3 years in AI Engineering.
Skills in AI Engineering: Proficiency in Python with
- quality code, deployment of ML & DL models, MLOps, container technologies like Docker and Kubernetes, MLFlow, Azure Dev
Ops, Git
Hub Actions, Jenkins, and experience with cloud data pipelines and APIs.
Skills in Machine Learning: Understanding of ML workflows, model training, tuning, inference, and monitoring. Basic knowledge of various ML techniques and applications.
Personal qualities: Team-oriented, responsible, flexible, proactive, analytical, and passionate about AI and data science. Fluent in English with strong communication skills.
Additional InformationWhat we offer:
International challenges, career growth, flexible hours, healthcare, employee discounts, sports and wellness activities, canteen, good public transport access, and a creative work environment.
#J-18808-Ljbffr- Informações detalhadas sobre a oferta de emprego
Empresa: TN Portugal Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 30. 5. 2025
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