Bengaluru, India
Live, first seen by us 85 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Lead design, development, and implementation of AI/ML solutions across product lines
Own end-to-end AI/ML modules, from data processing to deployment
Provide technical leadership to a team of data scientists
Translate business requirements into data science problems with product and data teams
Evaluate and fine-tune models to meet performance requirements
Lead the design, development, and implementation of AI/ML-based solutions across various product lines.
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.
Collaborate with product managers, data engineers, and architects to translate business requirements into data science problems and solutions.
Evaluate and fine-tune models, ensuring they meet performance requirements and deliver insights that drive product improvements.
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.
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Day 85
Up longer than most. Similar jobs usually come down between day 7 and day 71.
Well past The Nielsen Company’s usual: its jobs come down by about day 8.
From 4,682 similar postings that came down, and 124 of The Nielsen Company’s. Coming down is not always a hire.
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• 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.
• 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.
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.
• 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
• 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 Additional Information
• 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.
• 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. 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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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Roles and 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.
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.
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.
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. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.
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Bengaluru, India
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