Machine Learning Engineer

hace 6 horas

Argentina Twosense A tiempo completo

Overview We\'re looking for a Machine Learning Engineer who loves building real products and shipping code. If you enjoy owning production systems, solving tough engineering problems, and bringing cool ML research into real-world applications, you\'ll love it here Base pay range $70,000.00/yr - $90,000.00/yr What You\'ll Do Build and maintain our production ML pipeline—including ETL processes, data cleaning, preprocessing, feature extraction, training, evaluation, deployment, and monitoring Develop streamlined ML workflows to effectively support our production systems Write clean, maintainable Python code using test-driven or test-first development practices Collaborate closely with founders and researchers to bring ML ideas to life—with opportunities to participate directly in research projects Optimize our infrastructure to handle growth and scale effectively Must-Have Qualifications Strong software engineering skills—grounded in SOLID principles and best practices Hands-on experience deploying ML models to production Experience with common ML libraries like scikit-learn, TensorFlow, or PyTorch Basic understanding of ML fundamentals (algorithms, math/stats), along with strong intuition for how and when to apply different modeling approaches Nice-to-Have Qualifications Familiarity with developing and deploying ML systems using AWS tools and infrastructure Experience with varied data types (structured, time-series) Previous experience with behavioral biometrics or security-focused products Previous experience with ONNX Benefits Flexible working—remote or in-office, whatever suits you best Project Day once a month—dedicate a day to something you\'re passionate about Equity—share directly in our success Open vacation policy—take time off whenever you need Subscription to online learning resources like O\'Reilly and Pluralsight Argentina-based roles include additional perks: business English courses, travel for team events and company meet-ups, and technical books, VPN, and high-end work equipment provided. #J-18808-Ljbffr

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