We are immediately hiring a results-oriented Principal Machine Learning Engineer to join our growing team in Pune on a hybrid schedule.

Reporting to the Director of Machine Learning, you will partner with Product and Engineering teams to both solve problems and identify current opportunities for the business.

The ideal candidate will apply quantitative analysis, modeling, and data mining to help drive informed product decisions for PubMatic + get things done.

Responsibilities
Perform deep dive analysis to understand and optimize the key product KPIs
Apply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application products
Conduct data analysis to make product recommendations and design A/B experiments
Partner with Product and Engineering teams to solve problems and identify trends and prospects
Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis,



ongoing scaled deliverables and presentations

Qualifications
BE/BTech /MCA in Computers or equivalent
7to 12 years of hands-on experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib
Proven ability to inspire, mentor, and develop team members to deliver value consistently
Experience with articulating product questions and using statistics to arrive at an answer
Experience with scripting in SQL - extracting large data sets and design of ETL flows
Work experience in an inter-disciplinary / cross-functional field
Deep interest and aptitude in data, metrics, analysis, and trends, and applied knowledge of measurement, statistics, and program evaluation
Distinctive problem-solving skills and impeccable business judgment
Capable of translating analysis results into business recommendations

📌 Principal Machine Learning Engineer Pune (India)
🏢 PubMatic
📍 India