Die KI-Suchmaschine für Jobs
Senior AI Engineer(m/w/x)
Designing robust pipelines for artificial intelligence solutions, utilizing large language models, embeddings, and retrieval systems. Hands-on expertise in major machine learning frameworks and deploying systems required. High degree of autonomy in the AI/ML domain.
Anforderungen
- Proven experience with modern AI/ML techniques
- Hands-on expertise in major ML/AI frameworks
- Strong understanding of evaluation strategies for AI systems
- Practical knowledge of key concepts in applied ML
- Experience building and deploying machine learning systems
- Ability to make architectural decisions
- Experience mentoring and collaborating with junior engineers
- Strong communication and collaboration skills
- Founder mindset with informed decision-making
Aufgaben
- Own the AI/ML domain
- Work with large language models and embeddings
- Utilize retrieval systems and classifiers
- Design robust pipelines for model training
- Build evaluation frameworks for models
- Ensure models are reliable and performant
- Align models with customer needs
- Collaborate on architectural decisions with engineering leads
- Translate complex AI capabilities into business outcomes
- Balance research with pragmatic engineering
- Mentor junior colleagues in AI practices
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PyTorch
- TensorFlow
- JAX
- Python
Noch nicht perfekt?
- actoVollzeitmit HomeofficeSeniorBerlin, München
- Aily Labs
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Senior AI Engineer(m/w/x)
Designing robust pipelines for artificial intelligence solutions, utilizing large language models, embeddings, and retrieval systems. Hands-on expertise in major machine learning frameworks and deploying systems required. High degree of autonomy in the AI/ML domain.
Anforderungen
- Proven experience with modern AI/ML techniques
- Hands-on expertise in major ML/AI frameworks
- Strong understanding of evaluation strategies for AI systems
- Practical knowledge of key concepts in applied ML
- Experience building and deploying machine learning systems
- Ability to make architectural decisions
- Experience mentoring and collaborating with junior engineers
- Strong communication and collaboration skills
- Founder mindset with informed decision-making
Aufgaben
- Own the AI/ML domain
- Work with large language models and embeddings
- Utilize retrieval systems and classifiers
- Design robust pipelines for model training
- Build evaluation frameworks for models
- Ensure models are reliable and performant
- Align models with customer needs
- Collaborate on architectural decisions with engineering leads
- Translate complex AI capabilities into business outcomes
- Balance research with pragmatic engineering
- Mentor junior colleagues in AI practices
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PyTorch
- TensorFlow
- JAX
- Python
Über das Unternehmen
KI group GmbH
Branche
IT
Beschreibung
Das Unternehmen transformiert die Art und Weise, wie Unternehmen mit Daten arbeiten, und schafft messbaren Mehrwert durch KI-gestützte Lösungen.
Noch nicht perfekt?
- acto
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