Ai Engineer

Summary

Join Nearsure's LATAM team as an AI Engineer and work remotely while staying connected with a supportive community. You will design and implement AI solutions using machine learning and large-scale data infrastructures, collaborating with cross-functional teams to develop scalable, AI-driven products. This role requires expertise in AI technologies, responsible AI practices, and innovation. Nearsure offers a comprehensive benefits package including paid time off, national holidays, sick leave, a refundable annual credit, teambuilding activities, and a birthday day off, all while prioritizing your well-being with a dedicated People Care team. The company values autonomy, honesty, and diversity, fostering a positive and supportive work environment.

Requirements

• Bachelor's Degree in Computer Science, Engineering, or a related field
• 9+ Years of experience working with Cloud Computing
• 2+ Years of experience working with GCP (Console, Vertex AI & DialogFlow)
• 2+ Years of experience working with Machine Learning (PyTorch/Tensorflow)
• 1+ Years of experience working with LLMs
• Experience with the development of AI products
• Experience working with Open Source, Big Data and numerical programming frameworks
• Advanced English Level

Responsibilities

• Design, develop, and optimize AI solutions using machine learning and large data frameworks
• Build scalable AI products and infrastructure in cloud environments
• Apply machine learning operations frameworks (e.g., Kubeflow) for model deployment and management
• Stay current with emerging AI technologies and integrate them into solutions
• Ensure responsible AI practices and address ethical considerations in AI systems
• Collaborate with teams to align AI solutions with business needs and goals

Benefits

• USD 💲 Salary compensation
• 100% remote work
• Paid time off according to your country’s law without affecting your monthly salary
• Your country’s national holidays
• Sick or medical leave
• Refundable annual credit
• Teambuilding activities such as coffee breaks, tech talks, and after-work gatherings
• A day off during your birthday week