Die KI-Suchmaschine für Jobs
Machine Learning Engineer(m/w/x)
Beschreibung
In this role, you will work closely with a diverse team to develop and enhance AI and Machine Learning solutions that support climate action. Daily tasks will involve building robust systems, deploying ML models, and ensuring the reliability of AI technologies.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or related field
- •At least 3 years of experience in a Machine Learning role
- •Experience building and maintaining professional Machine Learning/Generative AI systems at scale
- •Proficiency in Machine Learning methods like Regression, Classification, Time Series Forecasting, Recommendation, Outlier Detection
- •Experience with Generative AI, including large language models, embeddings, and libraries like LangChain or Llamaindex
- •Strong proficiency in Python and Machine Learning libraries (e.g. scikit-learn, PyTorch, TensorFlow) and experience with AWS ecosystem
- •Strong communication and collaboration abilities
- •Very good command of English
Ausbildung
Berufserfahrung
3 Jahre
Aufgaben
- •Collaborate with Data Scientists, Engineers, Product Managers, and stakeholders
- •Translate requirements into technical solutions
- •Identify and evaluate GenAI/ML use cases
- •Improve internal services and client-facing products
- •Build and maintain robust GenAI/ML systems
- •Manage cloud infrastructure and monitoring
- •Build, train, and deploy ML models
- •Focus on benchmarking, recommendations, and forecasting carbon footprint
- •Implement automated testing and monitoring techniques
- •Ensure accuracy and reliability of AI systems
- •Drive the entire technical workflow
- •Manage related project responsibilities
- •Stay updated on the latest advancements in AI
- •Advocate Data Science and ML fundamentals in the Digital department
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Sonstige Vorteile
- •JobRad option
Gesundheits- & Fitnessangebote
- •Subsidy for sports programmes
Mehr Urlaubstage
- •30 days holiday
Flexibles Arbeiten
- •Flexible and hybrid work
Betriebliche Altersvorsorge
- •Company pension scheme with employer subsidy
Snacks & Getränke
- •Free tea, coffee, and fruit
- Olmatic GmbHVollzeitmit HomeofficeBerufserfahrenStuttgart, München
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Machine Learning Engineer(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
In this role, you will work closely with a diverse team to develop and enhance AI and Machine Learning solutions that support climate action. Daily tasks will involve building robust systems, deploying ML models, and ensuring the reliability of AI technologies.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or related field
- •At least 3 years of experience in a Machine Learning role
- •Experience building and maintaining professional Machine Learning/Generative AI systems at scale
- •Proficiency in Machine Learning methods like Regression, Classification, Time Series Forecasting, Recommendation, Outlier Detection
- •Experience with Generative AI, including large language models, embeddings, and libraries like LangChain or Llamaindex
- •Strong proficiency in Python and Machine Learning libraries (e.g. scikit-learn, PyTorch, TensorFlow) and experience with AWS ecosystem
- •Strong communication and collaboration abilities
- •Very good command of English
Ausbildung
Berufserfahrung
3 Jahre
Aufgaben
- •Collaborate with Data Scientists, Engineers, Product Managers, and stakeholders
- •Translate requirements into technical solutions
- •Identify and evaluate GenAI/ML use cases
- •Improve internal services and client-facing products
- •Build and maintain robust GenAI/ML systems
- •Manage cloud infrastructure and monitoring
- •Build, train, and deploy ML models
- •Focus on benchmarking, recommendations, and forecasting carbon footprint
- •Implement automated testing and monitoring techniques
- •Ensure accuracy and reliability of AI systems
- •Drive the entire technical workflow
- •Manage related project responsibilities
- •Stay updated on the latest advancements in AI
- •Advocate Data Science and ML fundamentals in the Digital department
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Sonstige Vorteile
- •JobRad option
Gesundheits- & Fitnessangebote
- •Subsidy for sports programmes
Mehr Urlaubstage
- •30 days holiday
Flexibles Arbeiten
- •Flexible and hybrid work
Betriebliche Altersvorsorge
- •Company pension scheme with employer subsidy
Snacks & Getränke
- •Free tea, coffee, and fruit
Über das Unternehmen
ClimatePartner
Branche
Consulting
Beschreibung
ClimatePartner supports companies in decarbonisation with software and expert advice to achieve net zero.
- Olmatic GmbH
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