17 Aug
|
ETP Group
|
Mumbai
Experience Required
2 - 5
Location
Mumbai
Role Type
Full Time
Designation: Data Analyst – ML Engineer
Department: R&D;
Location: Saki Vikar (Beside L&T;)
Work Mode: Work from office
Working Days: Monday to Friday
Experience: 2 - 5 years
Job Description:
About The Role
ETP Group is a leader in unified commerce and omni-channel retail technology. Our AI/ML team builds and ships production-grade Machine Learning and Gen AI capabilities into our enterprise SaaS platforms, Ordazzle and Unify, used by leading retail and e-commerce brands.
We are looking for a Data Analyst with Machine Learning with robust fundamentals in ML/DL modelling and data analysis, who has taken at least one model beyond the notebook.
Key Responsibilities:
AI/ML Modelling & Data Analysis
Design, build, and evaluate ML and Deep Learning models — classification, regression, time-series forecasting, anomaly/fraud detection, churn prediction, and recommendation systems for retail and e-commerce use cases.
Perform exploratory data analysis, data preprocessing,
and feature engineering on large structured and unstructured retail datasets (orders, transactions, customers, catalog, POS data).
Optimize and fine-tune models through rigorous evaluation, validation, and hyperparameter tuning to meet accuracy and performance benchmarks in real-world scenarios.
Translate models from research/prototype into production-ready code, ensuring scalability, efficiency and reliability.
Collaborate with data scientists, software engineers, Business Analyst, and DevOps teams to identify technical requirements, use cases, and user stories for model delivery.
Build data pipelines and workflows to integrate models with our software products, exposing them as services via REST APIs (FastAPI/Flask).
Support deployment, monitoring, and logging of models in production to track performance and detect issues, working with established MLOps tooling in the team.
Continuous Improvement
Continuously research a
📌 Data Analyst – Ml Engineer Mumbai
🏢 ETP Group
📍 Mumbai