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:
Bachelors degree in Computer Science Engineering Mathematics or a related field2 years of experience in software development including at least 1 year working on machine learning projectsStrong foundation in mathematics and data modelingHands-on experience with modern ML frameworks (e.g. TensorFlow PyTorch scikit-learn)Proficiency in Python; familiarity with Java and/or R is a plusExcellent analytical problem-solving and communication skillsStrong collaborative mindset and passion for innovation and continuous learning
If youre based in Argentina and passionate about building intelligent scalable solutions with machine learning wed love to hear from you!
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