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Senior Machine Learning Engineer

hace 2 meses

Madrid, Madrid, España Nielseniq A tiempo completo

Job Summary

Nielseniq is seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team.

About the Role

As a Senior Machine Learning Engineer at Nielseniq, you will play a crucial role in developing and implementing advanced AI/GenAI models and algorithms to solve complex business problems.

You will collaborate closely with cross-functional teams to design, build, and deploy scalable AI/GenAI solutions.

Key Responsibilities

  • Develop and implement AI/GenAI models and algorithms using Python, along with knowledge about PyTorch/Tensorflow, Pandas, sklearn, and similar AI/GenAI libraries.
  • Utilize machine learning fundamentals, including deep learning, optimization techniques, natural language processing, and large language models to solve real-world problems.
  • Work closely with data scientists and engineers to gather requirements, perform data analysis, and develop end-to-end machine learning pipelines.
  • Conduct experiments and perform model evaluation to ensure the robustness, scalability, and accuracy of AI/GenAI solutions.
  • Optimize and fine-tune AI/GenAI models for performance and efficiency.
  • Collaborate with cloud computing teams to deploy AI/GenAI models on cloud platforms, preferably Azure.
  • Utilize SQL for data extraction, transformation, and loading processes.
  • Stay updated with the latest advancements in AI/GenAI.

Requirements

  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
  • Proven experience of 5 years working as a Senior Machine Learning Engineer or in a similar role.
  • Strong proficiency in Python programming language.
  • In-depth knowledge of machine learning fundamentals, including deep learning, optimization techniques, generative AI, natural language processing, and large language models.
  • Experience with cloud computing platforms (knowledge of Azure is a plus).
  • Familiarity with SQL for data manipulation and analysis.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Ability to thrive in a fast-paced, dynamic environment.