At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.
Job DescriptionRole Overview:
As a Senior AI / ML Engineer on the Gracenote Media team, you will lead the application
of advanced machine learning models and big data solutions that power content understanding
and generation, entity linkage, and more in order to achieve the scale that matches our
customer’s demands.
Key Responsibilities:
● Lead the design, development and deployment of scalable machine learning models in
order to solve problems in natural language processing and/or computer vision problems
within content generation and enhancement, machine translation, automated tagging,
and content understanding.
● Develop and maintain large scale data architectures that support our data science
capability including data pipelines that process vast amounts of video, audio, and textual
metadata, centralized feature stores and ML ops pipelines.
● Work with computer vision models for video analysis, captioning, and scene recognition.
● Automate MLOps workflows for seamless deployment and monitoring of AI models.
● Implement Data Quality frameworks to ensure the model outputs and data pipelines are
of highest quality.
● Mentor junior data scientists and help to develop their skills and expertise.
● Stay current with the latest in the industry and bring best practice to the organization in
data science & ML engineering space.
Required Skills:
● Strong expertise in Python, SQL, and big data tools (Spark, Kafka, Flink).
● Hands-on experience with deep learning and NLP (BERT, GPT, Transformer models) & Computer Vision.
● Experience in computer vision models for media processing and content moderation.
● Experience developing & deploying both online and offline models.
● Experience in distributed computing and cloud platforms (AWS, GCP, Azure).
● Bachelor’s/Master’s degree in Data Science, Machine Learning, or related fields.
● 5-7 years of experience in Data science, AI, Machine learning
● Proven experience working with media datasets and AI-driven content platforms.
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