Machine Learning Engineer

Summary

Join Profasee, a company transforming e-commerce with AI-driven dynamic pricing, as a Machine Learning Engineer. You will design, develop, and deploy machine learning models to optimize pricing for thousands of products daily. This role requires owning the entire ML pipeline, from data wrangling to monitoring and improvement. You will collaborate with e-commerce experts and research new algorithms to enhance prediction accuracy. Building tools for model maintenance and writing clean, scalable code are also key responsibilities. Profasee offers a remote-first culture with flexibility and trust.

Requirements

• 3–5+ years of experience in ML engineering, data science, or related roles
• Proficient in Python, SQL, and data wrangling
• Real-world experience building, deploying, and monitoring ML models
• Solid grasp of statistical methods and machine learning frameworks
• Ability to translate business problems into technical solutions
• Comfortable owning the full lifecycle of ML products from R&D to production
• Strong analytical mindset and a bias for action
• Experience with AWS cloud services
• Proven track record taking ML projects from idea to production
• A degree in computer science, mathematics, physics, or data science

Responsibilities

• Design, develop, and deploy machine learning models that optimize pricing for thousands of products daily
• Own the full ML pipeline—data wrangling, feature engineering, model development, deployment, monitoring, and continuous improvement
• Partner with e-commerce experts to understand key drivers of revenue, conversion, and pricing dynamics
• Research and test new algorithms, statistical methods, and best practices to improve prediction accuracy
• Build tools and automation to keep models sharp and adaptive to market changes
• Track model performance, spot drifts, and keep improving
• Write clean, scalable code and contribute to a strong engineering culture

Preferred Qualifications

Familiarity with libraries like SQLAlchemy, Pydantic, Celery, Scikit-learn, Streamlit, FastAPI, Pandas, object oriented programming and data classes

Benefits

• Build game-changing tech in a fast-moving, high-impact environment
• Work alongside industry experts and proven founders
• Full ownership and autonomy—your work will ship and matter
• Remote-first culture with flexibility and trust