Exciting Machine Learning Engineer Opportunities at NielsenIQ in Pune

Are you ready to take your career to the next level with one of the industry’s leading companies? NielsenIQ is on the lookout for talented individuals to fill the position of Machine Learning Engineer in Pune, Maharashtra. This is a fantastic opportunity for those with a passion for data science and a strong background in machine learning, programming, and statistical analysis. As organizations increasingly rely on data-driven decisions, the demand for skilled professionals in machine learning is at an all-time high. Join NielsenIQ, where you can make a real impact on how businesses understand consumer behavior and market trends. In this role, you will be part of a dynamic team that leverages cutting-edge technology to develop innovative solutions. Read on to discover more about this exciting opportunity!

Key Job Details

• Job Position: Machine Learning Engineer
• Job Location: Pune, Maharashtra, India
• Employment Type: Full-time, On-site
• Education Requirement: PhD or Master’s in Computer Science/Engineering and Statistical/Mathematical Skills
• Experience: 2+ years
• Salary Package: As per Company Standards
• Date Posted: April 25, 2025

About the Role

The Machine Learning Engineer at NielsenIQ will play a pivotal role in designing, developing, testing, and deploying machine learning solutions that enhance business intelligence capabilities. You will be expected to implement scalable machine learning pipelines within cloud environments, particularly utilizing AWS. Your expertise in Python and the machine learning ecosystem will be essential as you optimize models for performance and efficiency. This position offers the opportunity to work with vast datasets, applying advanced statistical techniques and machine learning algorithms to derive actionable insights. Additionally, you will collaborate with cross-functional teams, sharing your knowledge and best practices in data science, contributing to a culture of continuous learning and improvement. Your ability to communicate effectively in a business environment will be vital as you present your findings and collaborate on projects that drive strategic decisions.

Required Skills

• Programming Skills: Proficiency in Python and familiarity with the machine learning ecosystem.
• Fundamental Knowledge: Strong understanding of data structures, algorithms, and software design principles.
• Distributed Computing: Experience with distributed computing platforms and cloud services, particularly AWS.
• Mathematical Expertise: Solid foundation in statistics and machine learning techniques, including predictive modeling and data handling.
• Agile Development: Familiarity with agile methodologies is a plus.

Responsibilities

• Design and Development: Create machine learning solutions that are efficient, scalable, and maintainable.
• Implementation: Implement end-to-end machine learning pipelines using modern tools and frameworks.
• Optimization: Enhance model performance through code optimization and high-performance computing techniques.
• MLOps Practices: Define and manage the model lifecycle, ensuring best practices are followed in data science solutions.
• Knowledge Sharing: Actively share insights and expertise within the organization and represent NielsenIQ at industry conferences.

Why Join NielsenIQ

NielsenIQ prides itself on fostering a culture of innovation and collaboration. As a member of the NielsenIQ team, you will experience a dynamic work environment that encourages creativity and continuous learning. The company offers competitive salaries, comprehensive benefits, and opportunities for professional growth. With a focus on employee well-being and work-life balance, NielsenIQ ensures that its workforce is motivated and engaged. Joining NielsenIQ means becoming part of a global leader in market research and analytics, where your contributions will help shape the future of data-driven decision-making.

Industry Trends

The demand for machine learning professionals is surging as companies recognize the value of data analytics in driving their business strategies. In 2025, the landscape of data science will continue to evolve, with an increasing focus on AI and machine learning technologies. This role is not only a chance to work with cutting-edge tools but also an opportunity to be at the forefront of innovation in the tech industry. As a Machine Learning Engineer, you will be instrumental in developing solutions that meet the changing needs of businesses in a fast-paced, data-driven world.

How to Apply

If you are excited about this opportunity and meet the qualifications, take the next step in your career and Apply Here.