Senior Member Technical Staff (MTS 3) - Machine learning
Primary stack
Nice to have's
Job description
About the Position
We are seeking a Senior Member Technical Staff (MTS 3) - Machine Learning to join our innovative team at Nielsen. In this role, you will lead the design, development, and implementation of AI/ML-based solutions across various product lines. Your expertise will drive product improvements and help us power a better media future for all people.
Responsibilities
- Lead the design, development, and implementation of AI/ML-based solutions across various product lines.
- Collaborate with product managers, data engineers, and architects to translate business requirements into data science problems and solutions.
- Take ownership of end-to-end AI/ML modules, from data processing to model development, testing, and deployment.
- Provide technical leadership to a team of data scientists, ensuring high-quality outputs and adherence to best practices.
- Conduct cutting-edge research and capability building across the latest Machine Learning, Deep Learning, and AI technologies.
- Prepare technical documentation, including high-level and low-level design, requirement specifications, and white papers.
- Evaluate and fine-tune models, ensuring they meet performance requirements and deliver insights that drive product improvements.
- Production exposure to Large Language Models (LLM) and experience in implementing and optimizing LLM-based solutions.
Requirements
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Must-have Skills:
- 4-6 years of experience in Data Science and AI/ML product development, with a proven track record of leading technical teams.
- Expertise in machine learning algorithms, Deep Learning models, Natural Language Processing, and Anomaly Detection.
- Strong understanding of model lifecycle management, including model building, evaluation, and optimization.
- Hands-on experience with Python and proficiency with frameworks like TensorFlow, Keras, PyTorch, etc.
- Solid understanding of SQL, NoSQL databases, and data modeling with ElasticSearch experience.
- Ability to manage multiple projects simultaneously in a fast-paced, agile environment.
- Excellent problem-solving skills and communication abilities, particularly in documenting and presenting technical concepts.
- Familiarity with Big Data frameworks such as Spark, Storm, Databricks, and Kafka.
- Experience with container technologies like Docker and orchestration tools like Kubernetes, ECS, or EKS.
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Optional (Good To Have) Skills:
- Experience with cloud-based machine learning platforms like AWS, Azure, or Google Cloud.
- Experience with tools like MLFlow, KubeFlow, or similar for model tracking and orchestration.
- Exposure to NoSQL databases such as MongoDB, Cassandra, Redis, and Cosmos DB, and familiarity with indexing mechanisms.
We Offer
- Join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together.
- Be part of a company that champions you, because when you succeed, we do too.
- Competitive salary and benefits.
- Opportunities for professional development and career growth.
About the Company
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.
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.
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