Silver.dev is hiring a
Machine Learning Engineer, Remote - Argentina

Summary

The job is for a Machine Learning Engineer at Tempo in Argentina. The role involves building and optimizing machine learning systems, consulting stakeholders, designing AI software, transforming data science prototypes, ensuring accurate predictions, solving complex problems, running tests, documenting processes, and keeping up-to-date with machine learning developments.

Requirements

• Bachelor's degree in computer science, data science, mathematics, or a related field
• At least 3 years experience as a machine learning engineer
• Advanced proficiency with code writing: Python, Java etc
• Familiar with cloud technologies: AWS, GCP etc
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture
• In-depth knowledge of mathematics, statistics, and algorithms
• Superb analytical and problem-solving abilities
• Great communication and collaboration skills
• Excellent time management and organizational abilities

Responsibilities

• Consulting with stakeholders to determine and refine machine learning objectives
• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models
• Transforming data science prototypes and applying appropriate ML algorithms and tools
• Ensuring that algorithms generate accurate user recommendations
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks
• Developing ML algorithms to analyze large volumes of historical data to make predictions
• Running tests, performing statistical analysis, and interpreting test results
• Documenting machine learning processes
• Keeping abreast of developments in machine learning

Preferred Qualifications

Knowledge of Feature Stores (Tecton, Feast …) is a nice-to-have

Benefits

• Remote First work environment
• Perks such as training reimbursement, WFH reimbursement, and more
• Optional in-person meet-ups and the ability to travel to our international offices
• Employee referral program