Senior AI Engineer

hace 7 días

Madrid, Madrid, España Nielseniq A tiempo completo

Job Summary

As a Senior AI Engineer at Nielseniq, you will be responsible for developing and implementing AI/GenAI models and algorithms using Python, leveraging knowledge of PyTorch/Tensorflow, Pandas, sklearn, and similar AI/GenAI libraries.

Key Responsibilities

  • Develop and implement AI/GenAI models and algorithms using Python
  • Collaborate with data scientists and engineers to gather requirements, perform data analysis, and develop end-to-end ML 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 (ETL) processes

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)
  • 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

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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