Senior ML Engineer at Avenga
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

30 Dec, 26

Salary

80000.0

Posted On

01 Oct, 26

Experience

20 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description
  • This is youStrong experience in Machine Learning / Deep Learning and practical model development.
  • Experience working with real-world datasets, including data preprocessing and harmonization.
  • Solid understanding of deep learning architectures and the ability to adapt existing models to specific use cases.
  • Experience designing and evaluating ML experiments.
  • Strong Python and software engineering skills.
  • Nice-to-have skills:Experience with A/B testing and experimentation.
  • Experience with recommender systems or related ML domains.
  • Experience in industrial software, industrial engineering, or industrial applications.
  • This is your rolePreprocess, clean, harmonize, and prepare datasets for machine learning models.
  • Select, adapt, and potentially combine existing deep learning architectures to meet project goals.
  • Develop the necessary supporting infrastructure and integration (“glue”) around ML models.
  • Leverage LLMs to accelerate development and implementation where appropriate, including supervising LLM-generated solutions.
  • Design and run experiments to evaluate model performance and identify the most effective approaches.
  • Document experiments, results, and learnings to support decision-making and define the final production solution.
  • Collaborate with engineering and domain experts to translate industrial requirements into effective ML solutions.


How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities
  • This is youStrong experience in Machine Learning / Deep Learning and practical model development.
  • Experience working with real-world datasets, including data preprocessing and harmonization.
  • Solid understanding of deep learning architectures and the ability to adapt existing models to specific use cases.
  • Experience designing and evaluating ML experiments.
  • Strong Python and software engineering skills.
  • Nice-to-have skills:Experience with A/B testing and experimentation.
  • Experience with recommender systems or related ML domains.
  • Experience in industrial software, industrial engineering, or industrial applications.
  • This is your rolePreprocess, clean, harmonize, and prepare datasets for machine learning models.
  • Select, adapt, and potentially combine existing deep learning architectures to meet project goals.
  • Develop the necessary supporting infrastructure and integration (“glue”) around ML models.
  • Leverage LLMs to accelerate development and implementation where appropriate, including supervising LLM-generated solutions.
  • Design and run experiments to evaluate model performance and identify the most effective approaches.
  • Document experiments, results, and learnings to support decision-making and define the final production solution.
  • Collaborate with engineering and domain experts to translate industrial requirements into effective ML solutions.


Loading...