Machine Learning Engineer

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Description

• Design, develop, and maintain scalable machine learning solutions from conception to production. • Collaborate closely with cross-functional teams—including data scientists, product managers, and software engineers—to integrate machine learning algorithms into broader software systems. • Analyze large datasets to develop machine-learning models that solve complex problems. • Optimize existing machine learning systems to improve efficiency and performance. • Utilize cloud services from platforms like AWS, GCP, or Azure to enhance the performance, cost, or scalability of machine learning solutions. • Stay updated with the latest machine learning techniques and technologies. • Clearly document and present model development and results to stakeholders. • Promote the advancement of software engineering practices within the organization by driving continuous improvement in implementing best practices or using new technologies.

Requirements

• Advanced verbal and written communication skills. • Strong team-oriented mindset. • Excellent problem-solving abilities and a high level of scientific curiosity. • Experience in data analysis and predictive modeling. • Analytical skills and the ability to tackle complex problems. • Strong programming skills in Python, Java, or Scala. • Experience with cloud services (AWS, Google Cloud, Azure) and their specific machine learning tools. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). • Familiarity with data structures, data modeling, and software architecture. • Proven ability to design and implement machine learning solutions from scratch. • Academic degree in computer science, software engineering, or related fields, or equivalent experience.

Benefits

• Unlimited PTO, trusting you to manage your time effectively and take the time off you need. • Health insurance, valid for employees in Mexico. • Budget to help you set up your ideal remote workspace.