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Senior Lead AI/ML Engineer
Chennai, Tamil Nadu, India
Actively hiring, first seen by us 4 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Permanent — employment source
Employment type in the employer’s posting: Permanent
From the employer’s posting
What you’ll work on
Full postingDesign and deploy time-series forecasting models for demand across thousands of SKUs
Build dynamic pricing and promotion optimization models using reinforcement learning or bandits
Evaluate promotion effectiveness and seasonality with causal inference
Develop cross-channel regular price optimization models for B2C and B2B
Implement model monitoring, retraining, and drift detection systems
From the employer’s posting
Design, Develop and deploy time-series forecasting models
Build dynamic pricing, promotion optimization & recommendation models using reinforcement learning or multi armed bandits
Apply statistical and causal inference techniques to evaluate promotion effectiveness and seasonality
Develop cross-channel regular price optimization models across B2C and B2B
Implement model monitoring, retraining, and drift detection systems
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 31, 20264 days ago
- Recorded sightings
- 5
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 10, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Staples Trust is hiring
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Its jobs tend to stay up a long time
- 9% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
- Delta Lake
- GCP
- Snowflake
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
Role Overview: We are seeking a highly skilled Senior Lead AI/ML Engineer to design, build, and scale our next-generation Pricing & Promotion Optimization and Forecasting platform. This role sits at the intersection of machine learning, AI, and applied statistics, focusing on price elasticity modeling, personalized promotions, and demand forecasting across thousands of SKUs. You will collaborate closely with data engineers, product managers, and marketing ops/ analytics teams to create AI-driven decision systems that maximize business impact while ensuring scalability and technical excellence. The platform will support cross-channel regular price optimization across B2C and B2B segments, enabling consistent yet segment-aware pricing decisions that account for customer behavior, margin goals, competitive positioning, and channel-specific demand patterns. Key Responsibilities Design, Develop and deploy time-series forecasting models (eg., Prophet, ARIMA, DeepAR, LSTM, Temporal Fusion Transformer etc...) Apply statistical and causal inference techniques to evaluate promotion effectiveness and seasonality Build dynamic pricing, promotion optimization & recommendation models using reinforcement learning or multi armed bandits Architect ML pipelines for promotion targeting and ROI optimization Design end-to-end data workflows from data ingestion to model deployment, integration with production APIs and dashboards Develop cross-channel regular price optimization models across B2C and B2B, incorporating customer segment behavior, channel elasticity, contract constraints, competitive price signals, and margin guardrails Implement model monitoring, retraining, and drift detection systems Work with data warehouses (Azure SQL, Snowflake, Databricks Delta etc..), and APIs for data processing and operationalization Collaborate with cloud teams for deployment on Azure or GCP Core Business Problem Areas Pricing strategy and price elasticity modeling Cross-channel regular price optimization across B2C and B2B channels, balancing price consistency, segment-level elasticity, competitive positioning, and margin performance Promotion effectiveness, incrementality, and lift analysis Profitability optimization and revenue maximization Dynamic and rule-based pricing strategies Competition-based pricing Demand forecasting and price-demand curves Consumer behavior analysis related to promotions Seasonality-driven and peak-demand dynamic pricing Requirements Basic Qualifications Master’s degree in Computer Science, Data Science, Statistics, or related field 11+ years of experience in AI/ML solution design & development Strong proficiency in Python and ML libraries (eg., TensorFlow, PyTorch, Scikit-learn) Expertise in forecasting and time series modeling & analysis techniques Experience with feature engineering and model evaluation Familiarity with version control systems (eg., Git) and collaborative workflows Strong analytical and problem-solving skills
Your next step
Complete your application on staples.zohorecruit.in. The employer’s form will show what is required.
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Job description
Role Overview: We are seeking a highly skilled Senior Lead AI/ML Engineer to design, build, and scale our next-generation Pricing & Promotion Optimization and Forecasting platform. This role sits at the intersection of machine learning, AI, and applied statistics, focusing on price elasticity modeling, personalized promotions, and demand forecasting across thousands of SKUs. You will collaborate closely with data engineers, product managers, and marketing ops/ analytics teams to create AI-driven decision systems that maximize business impact while ensuring scalability and technical excellence. The platform will support cross-channel regular price optimization across B2C and B2B segments, enabling consistent yet segment-aware pricing decisions that account for customer behavior, margin goals, competitive positioning, and channel-specific demand patterns. Key Responsibilities Design, Develop and deploy time-series forecasting models (eg., Prophet, ARIMA, DeepAR, LSTM, Temporal Fusion Transformer etc...) Apply statistical and causal inference techniques to evaluate promotion effectiveness and seasonality Build dynamic pricing, promotion optimization & recommendation models using reinforcement learning or multi armed bandits Architect ML pipelines for promotion targeting and ROI optimization Design end-to-end data workflows from data ingestion to model deployment, integration with production APIs and dashboards Develop cross-channel regular price optimization models across B2C and B2B, incorporating customer segment behavior, channel elasticity, contract constraints, competitive price signals, and margin guardrails Implement model monitoring, retraining, and drift detection systems Work with data warehouses (Azure SQL, Snowflake, Databricks Delta etc..), and APIs for data processing and operationalization Collaborate with cloud teams for deployment on Azure or GCP Core Business Problem Areas Pricing strategy and price elasticity modeling Cross-channel regular price optimization across B2C and B2B channels, balancing price consistency, segment-level elasticity, competitive positioning, and margin performance Promotion effectiveness, incrementality, and lift analysis Profitability optimization and revenue maximization Dynamic and rule-based pricing strategies Competition-based pricing Demand forecasting and price-demand curves Consumer behavior analysis related to promotions Seasonality-driven and peak-demand dynamic pricing Requirements Basic Qualifications Master’s degree in Computer Science, Data Science, Statistics, or related field 11+ years of experience in AI/ML solution design & development Strong proficiency in Python and ML libraries (eg., TensorFlow, PyTorch, Scikit-learn) Expertise in forecasting and time series modeling & analysis techniques Experience with feature engineering and model evaluation Familiarity with version control systems (eg., Git) and collaborative workflows Strong analytical and problem-solving skills
Source details
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- Pay
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- Location & working pattern
Chennai, Tamil Nadu, India
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- Work authorization
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