Lead Artificial Intelligence Engineer for Consumer Insights

hace 1 semana


Madrid, Madrid, España Nielseniq A tiempo completo

Role Summary:

NielsenIQ is seeking an experienced Senior Machine Learning Engineer to join our dynamic team. As a key member of our AI/GenAI development team, you will play a crucial role in designing and implementing advanced artificial intelligence models and algorithms to solve complex business problems.

About the Role:

We are looking for a highly skilled Senior ML Engineer with a strong background in Python, PyTorch, TensorFlow, and other popular AI libraries. You will collaborate closely with cross-functional teams to develop and deploy scalable AI solutions that drive business growth.

Main Responsibilities:

  • Design and implement AI models and algorithms using Python, PyTorch, TensorFlow, and other popular AI libraries
  • 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 solutions
  • Optimize and fine-tune AI models for performance and efficiency
  • Deploy AI models on cloud platforms, preferably Azure
  • Utilize SQL for data extraction, transformation, and loading (ETL) processes

Requirements:

To be successful in this role, you should have:

  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field
  • Proven experience (5 years) working as a Senior ML Engineer or in a 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

What We Offer:

NielsenIQ offers a competitive salary of $120,000 - $180,000 per year, depending on experience, as well as a range of benefits, including flexible work arrangements, LinkedIn Learning, and Employee Assistance Program (EAP). Join our dynamic team and contribute to shaping the future of consumer insights



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