Job Summary
Experience:
8.00 - 10.00 Years
Industrial Type:
IT-Software/Software Services
Location:
Chennai
Functional Area:
IT Software - Other
Designation:
Lead Data Engineer - AI Engineer
Key Skills:
Gen AI
Educational Level:
Graduate/Bachelors
Job Post Date:
2026-02-20 14:10:39
Stream of Study:
Degree:
BCA, BE-Comp/IT, BE-Other, BSc-Comp/IT, BSc-Other, BTech-Comp/IT, BTech-Other, MCA, ME-Comp/IT, ME-Other, MIS, MIT, MSc-Comp/IT, MS-Comp/IT, MSc-Other, MS-Other, MTech-Comp/IT, MTech-Other
Company Description
We’re more than simply paper, ink, and toner. We provide the supplies and services that thousands of businesses around the world need to succeed. We’re the experts in technology and conferencing equipment, cleaning products, furniture, and even breakroom items like snacks and coffee, too. (After all, innovation requires plenty of fuel!) This is a company of more than 13,000 smart, insightful experts who believe in the power of what can be and are driven to make business easier for our customers.
Job Description
Job Description :
Duties & Responsibilities
Forecasting & Modeling
Develop and deploy time-series forecasting models (e.g., Prophet, ARIMA, DeepAR, LSTM, Temporal Fusion Transformer) to predict demand, revenue, and promotion lift.
Apply advanced statistical and causal-inference methods to understand promotion effects and seasonality.
Build dynamic pricing and promotion recommendation models leveraging reinforcement learning or multi armed bandits.
AI System Design
Architect ML pipelines for promotion targeting and ROI optimization
Design end to end data workflows from data ingestion to model deployment integrated with production APIs and dashboards.
Contribute to scalable model monitoring, retraining, and drift detection.
Data Engineering & APIs
Work with SQL databases, data warehouses (Azure SQL, Snowflake, Databricks Delta, etc.), and APIs to retrieve, transform, and operationalize data.
Collaborate with cloud teams to ensure efficient and secure deployment of AI services (Azure or GCP).
Requirements
Basic Qualifications
Master’s degree in computer science, Data Science, Statistics, or a related field.
6+ years of experience in designing, developing, and deploying AI/ML solutions.
Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Strong expertise in forecasting and time series analysis techniques.
Solid understanding of machine learning algorithms and statistical modeling.
Experience with data preprocessing, feature engineering, and model evaluation.
Familiarity with version control systems (e.g., Git) and collaborative development workflows.
Strong problem-solving and analytical skills.
Preferred Qualifications
Ph.D. in Computer Science, Data Science, Statistics, or a related field.
Experience with cloud platforms (e.g., Azure, GCP) for deploying AI solutions.
Knowledge of advanced time series models (e.g., ARIMA, Prophet, LSTMs, Transformers).
Expertise in handling large datasets and distributed computing frameworks (e.g., Spark, Dask).
Familiarity with MLOps practices and tools for model deployment and monitoring.
Strong understanding of statistical programming and data visualization tools (e.g., Matplotlib, Seaborn).
Experience with database systems and query optimization.
Excellent communication skills for cross-functional collaboration and presenting technical concepts.
