Lead ML Engineer
Bengaluru, Karnataka, India
Zeta Global
All–in–one flexible solutions designed to accelerate your business growth.Machine Learning Engineer
Job Location: Bangalore
About the job :
Zeta Global is looking for an experienced ML Engineer with industry-proven hands-on experience of delivering machine learning models to production to solve business problems. To be a good fit to join our AI/ML team, you should ideally:
• Be a thought leader that can work with cross-functional partners to foster a data-driven organization.
• Be a strong team player, have experience contributing to a large project as part of a collaborative team effort.
• Have extensive knowledge and expertise with machine learning best-practices and industry standards.
• Be able to design and execute experiments to measure the impact of new features and machine learning models on business outcomes.
• Empower the product and engineering teams to make data-driven decisions.
What you need to succeed
• 4–6 years of proven, hands-on industry experience as a Machine Learning Engineer.
• Strong command of Python and SQL; experience with distributed computing frameworks like Spark or Hadoop is a significant plus.
• A bachelor’s degree in computer science, Mathematics, Physics, Statistics, Operations Research, or a related field is preferred.
• Solid experience with ML infrastructure—including model deployment, evaluation, data processing, and debugging—with a track record of building scalable ML solutions from business requirements.
• Proficient in Applied LLMs and NLP, with experience developing solutions using frameworks such as Lang Chain, Lang Smith, and backend tools like Fast API.
• Hands-on experience with LLMs like GPT or Claude is highly desirable.
• Strong background in building, deploying, and integrating AI agents using LLMs is a big plus.
• Comfortable with software engineering best practices, including version control, unit/integration testing, and setting up CI/CD pipelines for reliable ML deployment.
• Committed to high code quality, with an emphasis on thorough code reviews and testing.
• Excellent communication skills, with the ability to collaborate across technical and non-technical teams and clearly present outcomes to business stakeholders.
Company Summary:
Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans’ status, or any other basis protected by law.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm
https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc300945353.html
https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-crosschannel-campaign-management-reports-by-independent-research-firm-300938241.html
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs CI/CD Claude Computer Science Engineering GPT Hadoop LLMs Machine Learning Mathematics ML infrastructure ML models Model deployment NLP Physics Pipelines Python Research Spark SQL Statistics Testing
Perks/benefits: Career development Startup environment
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