Senior Machine Learning Engineer Traditional

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 clients 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