Senior Machine Learning Engineer

About the role

RZR Global, an AI-driven mobile advertising company, seeks a Senior Machine Learning Engineer to lead complex model development within its programmatic DSP. The role involves owning end-to-end delivery from problem framing to production monitoring, mentoring junior contributors, and driving measurable business impact through hypothesis-driven experiments. This position is based in Bengaluru.

What you’ll do

• Lead development of complex ML models that directly impact business KPIs such as campaign selection and conversion prediction.
• Design and own scalable evaluation frameworks including offline metrics, backtesting, and online A/B analysis.
• Own deployment of new models, tools, and architectural improvements end-to-end, including rollback plans and monitoring.
• Strengthen real-time monitoring systems to detect performance degradation early and trigger appropriate responses.
• Anticipate scaling constraints in training infrastructure and serving latency; proactively address bottlenecks.
• Improve inference latency without degrading model performance.
• Coordinate cross-functional rollout of model changes with engineering, product, and analytics stakeholders.
• Mentor junior ML contributors through code reviews, pairing, and structured growth guidance.

What you’ll bring

• 4–7 years of professional experience in machine learning, including end-to-end model development, deployment, and production monitoring.
• Bachelor's or Master's degree in Mathematics, Physics, Computer Science, or a related technical field.
• Strong experience with ML techniques: regression, classification, ranking, gradient-boosted trees, and neural architectures.
• Proficiency in Python and SQL; hands-on experience with big data tools (Spark) and ML libraries.

Nice to have

• Proven track record of leading complex model development that delivered measurable business impact.
• Experience designing evaluation frameworks and diagnosing training/serving gaps, feature drift, and data quality issues.
• Experience coordinating cross-team rollouts and influencing execution standards beyond direct output.
• Strong grasp of probability, statistics, and experimental design (A/B testing, causal reasoning).

Skills

Education

Bachelor's or Master's degree in Mathematics, Physics, Computer Science, or a related technical field.