Senior Machine Learning Engineer - Traditional

Quantiphi; Mumbai; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Quantiphi is seeking an ML Engineer to build predictive models using Jupyter notebooks and AWS services. The role focuses on forecasting sales and growth through time-series and tabular data, requiring strong Python skills and experience with ML libraries.

The candidate will collaborate with client teams, perform feature engineering, data cleaning, model testing, and present insights during weekly reviews. Independent work with minimal supervision is valued.

Qualifications

• 4+ years of experience in traditional ML and predictive modeling.
• Proficient in Python with ML libraries and Jupyter Notebooks.
• Experience with time-series forecasting for sales/growth.
• Hands-on with feature engineering, data prep and cleaning.
• Experience with AWS data services for ingestion and storage.

Responsibilities

• Develop predictive models using Jupyter notebooks and AWS data services.
• Perform feature engineering, data preparation and EDA.
• Evaluate model performance and iterate improvements.
• Present outputs and insights to business stakeholders during reviews.
• Collaborate with client teams and technical colleagues independently.

Skills

Traditional ML & Predictive Modeling

Python & ML Libraries

Time-series Forecasting

Jupyter Notebooks

AWS Data Ecosystem

Data Preparation & Cleaning

Model Evaluation

Tools

AWS S3

Amazon Redshift

Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!****JOB ROLE - ML Engineer******As an ML Engineer This role focuses on predictive modeling development utilizing Jupyter Notebook environments alongside AWS cloud infrastructure services.******Must have Skills:***** **Must be capable of working independently with minimal supervision alongside the client's business/technical team*** **4+ years experience in Traditional Machine Learning & Predictive Modeling: Hands-on experience building and fine-tuning ML models for regression/classification tasks, specifically sales forecasting or growth prediction using time-series and tabular data*** **Python & ML Libraries: Strong command of Python with libraries such as Scikit-learn, Pandas, NumPy, and Jupyter Notebooks for model development and output presentation.*** **Model Testing and evaluation*** **Feature Engineering & EDA*** **AWS Data Ecosystem: Working knowledge of AWS S3 and Amazon Redshift for data ingestion, storage, and retrieval in a cloud development environment*** **Data Preparation & Quality: Experience in data handling, missing values, duplicates, inconsistencies, and building unified analytical datasets from multiple sources******Good to have skills:***** **Store/Retail Domain Knowledge: Understanding of retail KPIs, store segmentation frameworks, and business cockpit/reporting concepts*** **Stakeholder Communication: Ability to present model outputs, performance metrics, and insights to non-technical business stakeholders during weekly review cadences***If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us**!*