This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior ML Scientist (Optimization & Reinforcement Learning) based in India.
This is an opportunity to shape advanced AI solutions that optimize pricing and personalized customer experiences at scale.
You will design and deploy machine learning and reinforcement learning models that influence real-world pricing and recommendation decisions.
The role combines deep algorithmic expertise with experimentation, optimization, and practical business problem-solving.
You will work with techniques including Contextual Bandits, Q-learning, SARSA, Bayesian Optimization, and classical machine learning.
Your work will help improve revenue, conversion, customer value, and the effectiveness of dynamic pricing strategies.
You will collaborate closely with product, marketing, and sales stakeholders in a highly iterative, innovation-focused environment.
The position offers significant scope to prototype current ideas, turn research into production-ready solutions,



and deliver measurable impact.
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Accountabilities:
Algorithm Development: Conceptualize, design, implement, and optimize advanced machine learning models for dynamic pricing, personalization, and recommendation use cases.
Reinforcement Learning: Apply techniques such as Contextual Bandits, Q-learning, SARSA, Thompson Sampling, and Bayesian Optimization to solve complex pricing and optimization problems.
AI-Powered Pricing Agents: Develop intelligent pricing agents that incorporate consumer behavior, demand elasticity, competitive signals, and other relevant factors to optimize revenue and conversion.
Rapid Prototyping: Quickly develop, test, and iterate on machine learning prototypes to validate hypotheses, assess feasibility, and refine algorithms.
Feature Engineering: Build and optimize large-scale consumer behavioral feature sets and feature stores that support scalable, high-performance machine

📌 Senior ML Scientist (India)
🏢 Jobgether
📍 India