Senior AI/ML Engineer
hace 3 días
Job Summary:
We are seeking a highly skilled Senior AI/ML Engineer to join our team at NielsenIQ. As a key member of our dynamic team, you will play a crucial role in developing and implementing advanced AI/ML models and algorithms to solve complex business problems.
Key Responsibilities:
- Develop and implement AI/ML models and algorithms using Python programming language, jointly with knowledge about PyTorch/Tensorflow, Pandas, sklearn, and similar AI/ML libraries.
- Utilize ML fundamentals, including deep learning, optimization techniques, NLP, and Large Language Models (LLMs), to solve real-world problems.
- Work closely 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/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, 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 AI/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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