Senior Machine Learning Engineer

hace 1 mes


Barcelona, Barcelona, España Nielseniq A tiempo completo
Job Title: Senior Ml Engineer


Job Summary:

We are seeking a highly skilled Senior Ml Engineer to join our team. The ideal candidate will have a strong background in machine learning, deep learning, and AI/ML fundamentals, with a proven track record of developing and implementing AI/ML models and algorithms using Python and popular libraries such as PyTorch and TensorFlow.

The successful candidate will work closely with data scientists and engineers to gather requirements, perform data analysis, and develop end-to-end ML pipelines. They will also conduct experiments and perform model evaluation to ensure the robustness, scalability, and accuracy of AI/ML solutions.

Key Responsibilities:

  • Develop and implement AI/ML models and algorithms using Python and popular libraries
  • Work closely with data scientists and engineers to gather requirements and develop end-to-end ML pipelines
  • Conduct experiments and perform model evaluation to ensure the robustness, scalability, and accuracy of AI/ML solutions
  • Optimize and fine-tune AI/ML models for performance and efficiency
  • Collaborate with cloud computing teams to deploy AI/ML models on cloud platforms

Requirements:

  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field
  • Proven experience of 5 years working as a Senior Ml Engineer or similar role
  • Strong proficiency in Python programming language
  • In-depth knowledge of ML fundamentals, including deep learning, optimization techniques, generative AI, NLP, and LLMs
  • Experience with cloud computing platforms (knowledge of Azure is a plus)



About Nielseniq:

Nielseniq is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth.

We are committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce.

We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products.



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