Machine Learning Engineer - Remote

Overview

Profasee is transforming e-commerce with AI-driven dynamic pricing that helps Amazon brands maximize revenue, profitability, and discoverability. We’re looking for a Machine Learning Engineer to build, experiment, and push the boundaries of pricing optimization.

In Short

• Design, develop, and deploy machine learning models for pricing optimization.
• Own the full ML pipeline from data wrangling to deployment.
• Partner with e-commerce experts to understand revenue drivers.
• Research and test new algorithms to improve prediction accuracy.
• Build tools and automation for model adaptation.
• Track model performance and improve continuously.
• Write clean, scalable code and contribute to engineering culture.

Requirements

• 3–5+ years of experience in ML engineering or data science.
• Proficient in Python, SQL, and data wrangling.
• Experience with building, deploying, and monitoring ML models.
• Solid grasp of statistical methods and ML frameworks.
• Ability to translate business problems into technical solutions.
• Comfortable owning the full lifecycle of ML products.
• Strong analytical mindset and bias for action.
• Experience with AWS cloud services.
• Proven track record of taking ML projects to production.
• Familiarity with libraries like SQLAlchemy, Scikit-learn, and Pandas.
• A degree in computer science, mathematics, or related fields.

Benefits

• Build game-changing tech in a high-impact environment.
• Work alongside industry experts and proven founders.
• Full ownership and autonomy over your work.
• Remote-first culture with flexibility and trust.