Senior Machine Learning Engineer - Traditional
This senior ML engineer will develop predictive models using Jupyter notebooks on AWS infrastructure, collaborating closely with client teams to deliver data-driven solutions. The role emphasizes independent work, strong Python and scikit-learn skills, and a focus on traditional machine learning techniques.
Skills required
About this role
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!
