Senior AI Engineer

hace 2 días

Madrid Centro, Madrid, España NielsenIQ A tiempo completo

About NielsenIQ

NielsenIQ is a leading provider of AI-powered solutions for businesses. We are seeking a highly skilled and experienced Senior AI Engineer to join our team.

Job Summary

We are looking for a talented Senior AI Engineer to develop and implement advanced AI/GenAI models and algorithms to solve complex business problems. As a Senior AI Engineer at NielsenIQ, you will play a crucial role in designing, building, and deploying scalable AI/GenAI solutions.

Key Responsibilities

  1. AI/GenAI Model Development

Develop and implement AI/GenAI models and algorithms using Python, along with knowledge about PyTorch/Tensorflow, Pandas, sklearn, and similar AI/GenAI libraries.

Problem-Solving and Optimization

Utilize ML fundamentals, including deep learning, optimization techniques, NLP, and Large Language Models (LLMs), to solve real-world problems.

Collaboration and Data Analysis

Work closely with data scientists and engineers to gather requirements, perform data analysis, and develop end-to-end ML pipelines.

Model Evaluation and Optimization

Conduct experiments and perform model evaluation to ensure the robustness, scalability, and accuracy of AI/GenAI solutions.

Cloud Deployment

Collaborate with cloud computing teams to deploy AI/GenAI models on cloud platforms, preferably Azure.

Data Management

Utilize SQL for data Extraction, Transformation, and Loading (ETL) processes.

Requirements

  1. Education and Experience

Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.

Technical Skills

Proven experience of 5 years working as a Senior AI Engineer or in a similar role.

Programming Skills

Strong proficiency in Python programming language.

AI/GenAI Knowledge

In-depth knowledge of ML fundamentals, including deep learning, optimization techniques, generative AI, NLP, and LLMs.

Cloud Computing

Experience with cloud computing platforms (knowledge of Azure is a plus).

SQL Skills

Familiarity with SQL for data manipulation and analysis.

Soft Skills

Excellent problem-solving skills and attention to detail.

Communication and Collaboration

Strong communication and collaboration skills.

Adaptability

Ability to thrive in a fast-paced, dynamic environment.

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