Senior AI Machine Learning Engineer - Remote - Latin America at FullStack Labs

FullStack is the fastest-growing software consultancy in the Americas. We partner with organizations such as Uber, GoDaddy, MGM, Siemens, and Stanford University to assemble distributed software development teams and deliver transformative digital solutions. As an employee-first company, we recruit the most capable software designers and developers across the western hemisphere and maintain a positive, respectful, and supportive environment that enables them to reach their full potential.

Key outcomes

• Integrate directly into client teams or work within a FullStack product team to deliver high-impact machine learning solutions.
• Design, develop, and rigorously test machine learning algorithms and models that address complex business challenges.
• Analyze and interpret large-scale data sets to uncover meaningful patterns and trends that inform strategic decisions.
• Deploy, monitor, and continuously optimize models within production environments to ensure reliability and performance.
• Maintain clear, comprehensive documentation for all machine learning models and related processes.
• Diagnose and resolve technical issues that arise during development and deployment phases.

Requirements

• At least five years of professional experience as a Machine Learning Engineer, with demonstrated expertise in artificial intelligence.
• Proficiency in Python, R, or Java, along with hands-on experience using frameworks such as TensorFlow or PyTorch.
• Familiarity with data analysis and visualization libraries including Pandas, NumPy, and Matplotlib.
• Strong understanding of statistical modeling and inference techniques.
• Advanced proficiency in English, both written and spoken.
• Completion of a four-year college degree.
• Experience working within Agile or Scrum environments.
• Exceptional attention to detail and a consistent ability to meet commitments to clients.
• Capacity to work forty hours per week on a fully remote basis from within Latin America.

Preferred qualifications

• A positive, solutions-oriented mindset and the ability to collaborate effectively across diverse teams.

Compensation

We provide competitive compensation in your local currency. Additional benefits include fully remote work arrangements, monthly virtual company events, English language classes, continuing education opportunities, and clear pathways for career advancement. Further benefits may apply depending on your specific location.

How to apply

We invite qualified candidates to submit their application through our careers portal. FullStack is an equal opportunity employer committed to creating an inclusive workplace for all.