Data Scientist Machine Learning Specialist

2 weeks ago


Dublin, Dublin City, Ireland beBeeMachineLearning Full time €100,000 - €140,000

We are seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our organization, you will be responsible for designing and building cutting-edge machine learning models that drive business growth and innovation.

Key Qualifications:
  • 10+ years of industry experience in machine learning with a strong track record of delivering high-quality results.
  • Expertise in machine learning tools, libraries, and frameworks such as scikit-learn, pandas, numpy, pytorch, and mllib.
  • Excellent knowledge of major machine learning algorithms, including statistical regression and deep learning.
  • Proven ability to train and evaluate ML models in production with proper pipelines and metrics.
  • Proficiency in at least one programming language, preferably Python.
  • Strong knowledge and hands-on experience with SQL and various database technologies.
  • Excellent written, verbal communication, and interpersonal skills.

Description: This role involves building a suite of data, AI, and machine learning products, including but not limited to LLM and GenAI. Responsibilities include collaborating with business stakeholders to clarify requirements, use cases, and business metrics; working with data engineers to set up data pipelines and prepare datasets for modeling; partnering with domain experts to understand data and create features for model training; designing, building, and evaluating models; partnering with SRE team for deployment; monitoring model performance and re-training as necessary; and communicating model insights to secure business adoption.

Benefits:
  • Pioneer innovative solutions using the latest machine learning techniques.
  • Work closely with cross-functional teams to deliver high-quality results.
  • Contribute to the development of new machine learning products and services.
  • Stay up-to-date with the latest advancements in machine learning research and applications.


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