Machine Leaning Engineering (P2)
Core
Building and deploying end-to-end machine learning models and pipelines to translate business needs into scalable ML solutions.
Role type
Senior Machine Learning Engineer (P2)
Builds
Production ML models, end-to-end ML pipelines, and AI/LLM applications (via careerplan.io/jobs/3743990015821548-machine-leaning-engineering-p2-at-the-nielsen-company)
Domain
Media analytics, sports data, and audience engagement
Deliverable
production ML models
Required skills
Python, SQL, distributed computing (Spark), statistical analysis, LLMs/Generative AI, workflow orchestration (Airflow), ML platforms (MLflow), classification/regression/anomaly detection models, deep learning
Preferred skills
Generative AI models, cloud platforms (AWS/GCP/Azure), video processing, data pipeline tools (Kafka), technical leadership
Technologies
Spark, Airflow, MLflow, AWS, GCP, Azure, Kafka
Responsibilities
Independently build, train, and deploy ML models; design and maintain end-to-end ML pipelines; contribute to technical design and system architecture; collaborate with business and product teams to define technical specs; write production-ready code and participate in code reviews; mentor interns or junior engineers
Seniority
Senior, hands-on IC with mentorship responsibilities
