Machine Learning Engineer
You will develop predictive machine learning models, statistical analyses, and inference APIs that extract actionable insights from client data.
What you'll work with.
As a Machine Learning Engineer at TheWebVale, you will construct predictive models, recommendation algorithms, and anomaly detection pipelines. You will analyze business data for retail brands, coaching networks, and property companies to forecast demand, classify records, and uncover operational trends. You will collaborate with backend developers and data engineers within our regular two-to-three week release cycles. You will package models into lightweight API endpoints, write data cleaning scripts, and ensure dependable inference performance in production.
Your day to day.
6 things, one at a time. Keep scrolling.
Train, evaluate, and fine-tune machine learning models on structured business datasets.
Build automated data preprocessing and feature engineering pipelines in Python.
Deploy trained models as low-latency microservice endpoints using FastAPI or Docker.
Evaluate model performance using cross-validation, precision, recall, and ROC curves.
Monitor production inference drift and schedule model retraining intervals.
Collaborate with product designers to present predictive insights clearly to end users.
What we look for.
6 things, one at a time. Keep scrolling.
Hold 2–4 years of practical experience developing and deploying machine learning models.
Demonstrate strong proficiency in Python, NumPy, Pandas, Scikit-learn, and SQL.
Show practical familiarity with deep learning frameworks like PyTorch or TensorFlow.
Understand foundational statistics, probability distributions, and regression techniques.
Possess experience building RESTful model serving APIs with FastAPI or Flask.
Communicate statistical findings and model certainty levels clearly to project leads.
What you get.
Three steps, no tricks.
- 1
Intro chat
A short call about what you want to work on and how you like to work.
- 2
Work review
Walk us through projects, code or designs you are proud of.
- 3
Paid task
A small paid task or pairing session, so both sides see the fit.
Apply for Machine Learning Engineer .
Tell us about your work. We reply to every application, usually within a few days.