Machine Learning Engineer (Argentina-based)

The Role:

We are seeking a hands-on, versatile Machine Learning Engineer to help lay the foundation for our journey into integrating machine learning into our software development lifecycle. This is a strategic and technical role, ideal for someone eager to shape ML capabilities from the ground up — from identifying use cases to deploying production-grade models.

Only candidates based in Argentina will be considered for this role.

Responsibilities:

• Collaborate closely with software developers and business stakeholders to identify high-impact machine learning use cases
• Design, build, and maintain secure and scalable ML models for tasks such as prediction, anomaly detection, recommendation engines, and process automation
• Solve complex problems using large, multilayered data sets, and optimize ML libraries and frameworks for performance
• Monitor and evaluate model performance; implement continuous improvement strategies
• Keep up to date with the latest ML trends and tools, contributing to internal best practices and frameworks
• Help build a knowledge-sharing culture by supporting upskilling initiatives within the development team

Requirements:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
• 2+ years of experience in software development, including at least 1 year working on machine learning projects
• Strong foundation in mathematics and data modeling
• Hands-on experience with modern ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Proficiency in Python; familiarity with Java and/or R is a plus
• Excellent analytical, problem-solving, and communication skills
• Strong collaborative mindset and passion for innovation and continuous learning

If you’re based in Argentina and passionate about building intelligent, scalable solutions with machine learning, we’d love to hear from you!

W - E - 11072025

Wakapi Web