Senior Machine Learning Engineer - Traditional

Quantiphi; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Quantiphi in Bengaluru is seeking an ML Engineer to develop predictive models using Jupyter Notebook environments and AWS cloud services. The role emphasizes independent work with client teams and hands-on model development.

You will build and fine-tune models for regression/classification on time-series and tabular data, perform feature engineering and EDA, and present results to stakeholders.

Qualifications

• 4+ years experience in Traditional Machine Learning & Predictive Modeling.
• Hands-on experience building and fine-tuning ML models for regression/classification tasks.
• Experience with sales forecasting or growth prediction using time-series and tabular data.
• Proficient in Python with libraries such as Scikit-learn, Pandas, NumPy, and Jupyter Notebooks.
• Experience in data preparation, missing values, duplicates, inconsistencies, and building unified datasets.

Responsibilities

• As an ML Engineer this role focuses on predictive modeling development utilizing Jupyter Notebook environments alongside AWS cloud infrastructure services.

Skills

Independent work

ML & predictive modeling

Python & ML libraries

Model testing

Feature engineering & EDA

AWS data ecosystem

Data preparation & quality

Store/Retail domain knowledge

Stakeholder communication

Tools

Jupyter Notebooks

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!