Principal Machine Learning Engineer

Role: Principal Machine Learning Engineer

Exp: 8 to 15 Years,

Mode: Hybrid- Full Time

Location: Pune,

Mandatory Skills:

About the Role

We are 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 new 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.

What You'll Do

• 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 opportunities.
• 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.

We'd Love for You to Have

• Seven plus 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 designing 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.

Qualifications:

• Should have a bachelors degree in engineering (CS / IT) or equivalent degree from well-known Institutes / Universities.

AD Tech Specific

• Extensive knowledge of Performance DSP, including programmatic advertising workflows, RTB, audience targeting, and bid strategies.
• Strong expertise in Machine Learning and Ad-Server/Bidder architecture.
• Deep understanding of mobile advertising ecosystems, advertising SDKs, and optimization strategies.
• Hands-on experience with mobile advertising, optimization techniques, and advanced ML algorithms.
• 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
• Deep interest and aptitude in data, metrics, analysis, 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

Role and Responsibilities:

• Assess our existing products to identify inefficiencies across platform for Performance DSP.
• Work closely with product, CTO, and engineering teams to align technical solutions for Performance DSP goals.
• Architect and develop solutions to bridge gaps in technology and execution.
• Collaborate with product, engineering, and leadership teams to align on DSP strategy.
• Improve attribution tracking, user value modelling, and ML-driven performance enhancements.