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A high-growth SaaS company in the e-commerce and martech space is seeking a Machine Learning Engineer to build and scale the ML foundation powering its next generation of smart automation and personalization tools. This is an opportunity to influence core product direction and shape the company’s machine-learning systems from day one.
Job Responsibility:
Build and deploy machine-learning models that drive personalization, optimization, and analytics
Develop scalable data pipelines, ETL workflows, and feature engineering systems
Work with large datasets: ingestion, cleaning, transformation, and warehousing
Collaborate with engineering and product teams to integrate ML features
Conduct A/B tests, evaluate model performance, and iterate quickly
Optimize model efficiency, reliability, and deployment processes
Establish best practices for data collection, tracking, and instrumentation
Requirements:
2–5 years of ML engineering, data science, or data engineering experience
Strong foundation in ML algorithms, model development, and statistics
Hands-on experience with Python, SQL, and modern ML frameworks
Experience deploying ML systems to production environments
Familiarity with data architecture, database design, and scaling data systems
Strong problem-solving skills and a bias toward action
Nice to have:
Experience with SaaS, e-commerce, or martech analytics tools
Familiarity with recommendation systems or behavioral prediction models
Exposure to Shopify ecosystem data (not required, but a plus)
What we offer:
Competitive salary based on experience
Opportunities for ownership and autonomy in projects
Dynamic work environment with a focus on innovation and growth
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