
About Nielsen
Transforming data into actionable insights for businesses
Key Highlights
- Headquartered in New York, NY with 40,000 employees
- Publicly traded with a valuation of approximately $5 billion
- Serves major clients like Procter & Gamble and Unilever
- Focuses on market measurement in media, retail, and advertising
Nielsen Holdings PLC is a leading global data and analytics company headquartered in New York, New York. With a workforce of approximately 40,000 employees, Nielsen provides insights into consumer behavior and media consumption, serving clients like Procter & Gamble and Unilever. The company went pu...
🎁 Benefits
Nielsen offers competitive salaries, equity options, generous PTO policies, and a flexible remote work policy to support work-life balance....
🌟 Culture
Nielsen promotes a data-driven culture that values innovation and collaboration, encouraging employees to leverage analytics for impactful decision-ma...
Skills & Technologies
Overview
Nielsen is hiring a Software Engineer specializing in AI and Computer Vision to develop innovative solutions that unlock insights from complex multimedia sports data. You'll work with technologies like Python and Machine Learning in Mumbai.
Job Description
Who you are
You have a strong background in software engineering with a focus on AI and computer vision — you are passionate about building innovative solutions that leverage the latest advancements in technology. Your experience includes working with multi-modal Large Language Models and developing AI systems that provide valuable insights from complex data sets. You thrive in collaborative environments and are eager to contribute to industry-defining software that impacts the global sports ecosystem.
You possess a solid understanding of machine learning principles and have hands-on experience with frameworks and tools relevant to AI development. Your technical skills are complemented by your ability to communicate effectively with cross-functional teams, ensuring that your contributions align with the broader goals of the organization. You are committed to continuous learning and growth, always seeking to enhance your skills and knowledge in the rapidly evolving field of AI.
What you'll do
In this role, you will be a key contributor to Nielsen Sports, developing and implementing AI systems that unlock novel insights from complex multimedia sports data. You will collaborate with a dynamic team of engineers and data scientists to design and build innovative solutions that enhance audience engagement and provide actionable insights for clients. Your responsibilities will include coding, testing, and deploying AI models, as well as participating in code reviews and contributing to the overall architecture of the systems you help create.
You will also engage in research and development activities, exploring new methodologies and technologies that can be applied to improve the effectiveness of AI solutions. Your work will directly impact how clients understand media value, fan behavior, and sponsorship effectiveness, making your contributions vital to the success of the organization. You will have the opportunity to grow your skills at the cutting edge of AI research and application, working on projects that are at the forefront of the media revolution.
What we offer
Nielsen offers a collaborative and inclusive work environment where your contributions are valued and recognized. You will have access to resources and support that enable you to excel in your role and advance your career. The company is committed to fostering a culture of innovation and excellence, encouraging you to bring your best ideas to the table. You will be part of a team that is dedicated to making a meaningful impact in the media industry, and your work will help shape the future of audience engagement and analytics.
We encourage you to apply even if your experience doesn't match every requirement — your passion for technology and commitment to learning are what truly matter. Join us at Nielsen and be part of a team that is transforming the way we understand media and its impact on society.
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