5 hours ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Build, train, and deploy machine learning models for complex projects.
- Design and maintain end-to-end ML pipelines from data processing through model serving.
- Contribute to technical design discussions, system architecture, and engineering best practices.
- Collaborate with business, product, and engineering teams to translate requirements into technical specifications.
- Write production-ready code and participate in code reviews.
- Mentor interns or junior engineers and share technical knowledge.
Requirements
- Bachelor's or master's degree in engineering, mathematics, statistics, or a related field.
- 3–6 years of professional experience in machine learning engineering.
- Experience building and deploying machine learning models in production.
- Strong proficiency in Python and SQL, plus experience with a distributed computing framework such as Spark.
- Strong data analytics experience, including statistical analysis, data visualization, and business reporting.
- Hands-on experience with modern AI frameworks and techniques, including LLMs or generative AI applications.
- Knowledge of classification, regression, anomaly detection, boosted models, deep learning, and simulation problems involving large datasets.
- Strong problem-solving skills and ability to work independently.
- Preferred experience with Airflow, MLflow, generative AI models, cloud platforms and AI/ML services, video processing, Kafka, publications, sports data, technical project leadership, and mentoring.
Tech Stack
Categories
About Nielsen
Nielsen provides audience measurement and analytics that quantify who watches, listens, and buys across TV, digital, radio, and streaming. It sells ratings, cross-platform datasets, and advertising effectiveness tools to media owners, advertisers, and agencies on subscription and consulting agreements. Founded in 1923 and headquartered in New York, it operates in 55+ countries and is known for U.S. TV ratings.