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Senior Member Technical Staff (MTS 3) - Machine learning

Refined Labs·Salary not specified

Primary stack

Machine LearningPythonTensorFlowKerasPyTorchSQLNoSQLElasticsearchDatabricksKafka

Nice to have's

Machine LearningMLflowKubeflowMongoDBCassandraRedisCosmos DB

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

  • 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.
  • 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.

© Refined Labs. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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