Job Description
Eizen AI | Hyderabad, India & Atlanta, GA, USA | Full-Time | Hybrid/Remote
Join Eizen AI to build production-scale Multi-Agent Reinforcement Learning systems that optimize pricing and promotions across thousands of SKUs for Fortune 500 retailers. This is a rare opportunity to deploy cutting-edge optimization research in real-world business environments where your models directly impact revenue decisions for major retail chains.
We're looking for a Ph D-level researcher with deep expertise in convex and multi-objective optimization who can bridge theoretical rigor with scalable ML systems that handle real-world business constraints.
About Eizen:
Eizen AI is agentic AI platform serving Fortune 500 clients across manufacturing, retail, healthcare, and robotics. We're expanding our AI capabilities into intelligent pricing and revenue optimization.
Founded by a Ph D in Cognitive Robotics from IIT Kanpur with 18+ years of AI/ML leadership, we combine academic rigor with enterprise-grade execution. We're expanding to Atlanta, GA as part of our US growth strategy.
What You will Build:
Core Responsibility: Lead the technical architecture and research for our next-generation pricing optimization platform powered by constrained multi-objective learning.
Your Impact:
Design and deploy role-based Multi-Agent RL systems for pricing optimization across 10,000s of SKUs
Formulate complex business problems as constrained optimization problems integrating regulatory, operational, and relationship constraints
Solve sparse data challenges using causal inference, transfer learning, and counterfactual reasoning
Build production ML systems on Databricks/MLflow handling real-time pricing recommendations
Lead technical teams through complex implementations while communicating with business stakeholders
Drive research roadmap balancing academic innovation with commercial deployment
Technical Chalenges:
Multi-objective optimization with competing business goals (revenue, margin, volume, market share)
Handling sparse transaction data and cold-start problems for new products
Integrating hard business constraints (price floors/ceilings, competitive relationships, brand equity)
Real-time inference at scale with constraint satisfaction
Explainability and interpretability for merchant decision support
What You Bring:
Required:
Education & Experience:
Ph D in Machine Learning, Computer Science, Operations Research, or related field (or Masters with exceptional experience)
5+ years applying constrained optimization, multi-objective learning, or decision-focused learning in production
Technical Mastery:
Deep expertise in convex optimization, Pareto optimization, constraint handling
Expert-level Python, Py Torch/Tensor Flow for large-scale ML systems
Production experience with Databricks, MLflow, or similar ML platforms
Strong mathematical problem formulation and optimization algorithm design
Domain Knowledge:
Retail pricing, revenue management, or similar business optimization problems
Understanding of elasticity modeling, cannibalization, promotion optimization
Experience integrating business constraints into ML systems
Leadership:
Track record of leading technical teams through complex system implementations
Ability to communicate advanced ML concepts to non-technical stakeholders
Experience with stakeholder management in enterprise/retail environments
Highly Valued:
Publications in Neur IPS, ICML, INFORMS, or related venues on optimization topics
Experience with causal inference, experimental design, A/B testing in pricing contexts
Background in multi-armed bandits, contextual bandits, or RL for business applications
Previous work at pricing platforms (PROS, Blue Yonder, Revionics) or retail data science teams
Knowledge of sparse learning, meta-learning, or few-shot learning approaches
Why Join Eizen AI:
Technical Ownership:
Define the architecture for our optimization platform from ground up
Lead research direction with direct influence on product roadmap
Work on real-world problems with immediate business impact
Elite Team:
Collaborate directly with CEO (Ph D, IIT Kanpur) and technical leadership
Build and mentor a world-class optimization team
Shape engineering culture as an early technical leader
Growth & Impact:
Fortune 500 clients across retail, manufacturing, healthcare
$4 M+ ARR with strong product-market fit
Ground-floor opportunity in Atlanta expansion (US market)
Flexibility:
Hybrid/remote work options
Locations: Hyderabad or Atlanta
Competitive compensation + meaningful equity
Python | Py Torch/Tensor Flow | Databricks | MLflow | Docker/Kubernetes | Postgre SQL/Timescale DB | Apache Airflow | Fast API
Send your application to: ( ) or Fill-up the form: JFDDEZq X
Please include:
CV highlighting relevant publications and production ML deployments
Brief description (200-300 words) of your most impactful optimization project
Links to publications, Git Hub, or technical blog posts (if available)
Subject Line: "Research Scientist - Optimization | (Your Name)"
Interview Process:
Technical Screening (45 min) - Optimization fundamentals and problem formulation
Deep Dive (90 min) - Whiteboard session on multi-objective optimization design
System Design (60 min) - Production ML architecture for pricing at scale
Leadership & Communication (45 min) - Stakeholder management and team leadership
Founder Round (30 min) - Vision alignment and growth trajectory
Eizen AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
#Machine Learning #Optimization #Convex Optimization #Reinforcement Learning #Pricing Optimization #Retail AI #Data Science #Ph D #Applied Science #Multi Objective Optimization #Constrained Optimization #MLOps #Py Torch #Databricks
Learn more: | Locations: Bangalore, Hyderabad India | Atlanta, GA, USA
Join Eizen AI to build production-scale Multi-Agent Reinforcement Learning systems that optimize pricing and promotions across thousands of SKUs for Fortune 500 retailers. This is a rare opportunity to deploy cutting-edge optimization research in real-world business environments where your models directly impact revenue decisions for major retail chains.
We're looking for a Ph D-level researcher with deep expertise in convex and multi-objective optimization who can bridge theoretical rigor with scalable ML systems that handle real-world business constraints.
About Eizen:
Eizen AI is agentic AI platform serving Fortune 500 clients across manufacturing, retail, healthcare, and robotics. We're expanding our AI capabilities into intelligent pricing and revenue optimization.
Founded by a Ph D in Cognitive Robotics from IIT Kanpur with 18+ years of AI/ML leadership, we combine academic rigor with enterprise-grade execution. We're expanding to Atlanta, GA as part of our US growth strategy.
What You will Build:
Core Responsibility: Lead the technical architecture and research for our next-generation pricing optimization platform powered by constrained multi-objective learning.
Your Impact:
Design and deploy role-based Multi-Agent RL systems for pricing optimization across 10,000s of SKUs
Formulate complex business problems as constrained optimization problems integrating regulatory, operational, and relationship constraints
Solve sparse data challenges using causal inference, transfer learning, and counterfactual reasoning
Build production ML systems on Databricks/MLflow handling real-time pricing recommendations
Lead technical teams through complex implementations while communicating with business stakeholders
Drive research roadmap balancing academic innovation with commercial deployment
Technical Chalenges:
Multi-objective optimization with competing business goals (revenue, margin, volume, market share)
Handling sparse transaction data and cold-start problems for new products
Integrating hard business constraints (price floors/ceilings, competitive relationships, brand equity)
Real-time inference at scale with constraint satisfaction
Explainability and interpretability for merchant decision support
What You Bring:
Required:
Education & Experience:
Ph D in Machine Learning, Computer Science, Operations Research, or related field (or Masters with exceptional experience)
5+ years applying constrained optimization, multi-objective learning, or decision-focused learning in production
Technical Mastery:
Deep expertise in convex optimization, Pareto optimization, constraint handling
Expert-level Python, Py Torch/Tensor Flow for large-scale ML systems
Production experience with Databricks, MLflow, or similar ML platforms
Strong mathematical problem formulation and optimization algorithm design
Domain Knowledge:
Retail pricing, revenue management, or similar business optimization problems
Understanding of elasticity modeling, cannibalization, promotion optimization
Experience integrating business constraints into ML systems
Leadership:
Track record of leading technical teams through complex system implementations
Ability to communicate advanced ML concepts to non-technical stakeholders
Experience with stakeholder management in enterprise/retail environments
Highly Valued:
Publications in Neur IPS, ICML, INFORMS, or related venues on optimization topics
Experience with causal inference, experimental design, A/B testing in pricing contexts
Background in multi-armed bandits, contextual bandits, or RL for business applications
Previous work at pricing platforms (PROS, Blue Yonder, Revionics) or retail data science teams
Knowledge of sparse learning, meta-learning, or few-shot learning approaches
Why Join Eizen AI:
Technical Ownership:
Define the architecture for our optimization platform from ground up
Lead research direction with direct influence on product roadmap
Work on real-world problems with immediate business impact
Elite Team:
Collaborate directly with CEO (Ph D, IIT Kanpur) and technical leadership
Build and mentor a world-class optimization team
Shape engineering culture as an early technical leader
Growth & Impact:
Fortune 500 clients across retail, manufacturing, healthcare
$4 M+ ARR with strong product-market fit
Ground-floor opportunity in Atlanta expansion (US market)
Flexibility:
Hybrid/remote work options
Locations: Hyderabad or Atlanta
Competitive compensation + meaningful equity
Python | Py Torch/Tensor Flow | Databricks | MLflow | Docker/Kubernetes | Postgre SQL/Timescale DB | Apache Airflow | Fast API
Send your application to: ( ) or Fill-up the form: JFDDEZq X
Please include:
CV highlighting relevant publications and production ML deployments
Brief description (200-300 words) of your most impactful optimization project
Links to publications, Git Hub, or technical blog posts (if available)
Subject Line: "Research Scientist - Optimization | (Your Name)"
Interview Process:
Technical Screening (45 min) - Optimization fundamentals and problem formulation
Deep Dive (90 min) - Whiteboard session on multi-objective optimization design
System Design (60 min) - Production ML architecture for pricing at scale
Leadership & Communication (45 min) - Stakeholder management and team leadership
Founder Round (30 min) - Vision alignment and growth trajectory
Eizen AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
#Machine Learning #Optimization #Convex Optimization #Reinforcement Learning #Pricing Optimization #Retail AI #Data Science #Ph D #Applied Science #Multi Objective Optimization #Constrained Optimization #MLOps #Py Torch #Databricks
Learn more: | Locations: Bangalore, Hyderabad India | Atlanta, GA, USA
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