Senior Machine Learning Engineer
hace 4 semanas
Job Summary
NielsenIQ is seeking a highly skilled Senior Machine Learning Engineer to join our dynamic team. As a Senior ML Engineer at NielsenIQ, you will play a crucial role in developing and implementing advanced AI/GenAI models and algorithms to solve complex business problems.
Key Responsibilities
- Develop and implement AI/GenAI models and algorithms using Python programming language, jointly with knowledge about PyTorch/Tensorflow, Pandas, sklearn, and similar AI/GenAI 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/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.
- Stay updated with the latest advancements in AI/GenAI.
Requirements
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
- Proven experience 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.
Additional Information
NielsenIQ is an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status, or any other protected class.
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