Description:

As an AI Engineer, you will design and implement AI solutions using machine learning algorithms and large-scale data infrastructures.
You will work with cross-functional teams to develop scalable, AI-driven products, leveraging cloud computing and emerging AI technologies.
The role requires expertise in AI technologies, responsible AI practices, and the ability to drive innovation in the field.
You will design, develop, and optimize AI solutions using machine learning and large data frameworks.
You will build scalable AI products and infrastructure in cloud environments.
You will apply machine learning operations frameworks (e.g., Kubeflow) for model deployment and management.
You will stay current with emerging AI technologies and integrate them into solutions.
You will ensure responsible AI practices and address ethical considerations in AI systems.
You will collaborate with teams to align AI solutions with business needs and goals.

Requirements:

A Bachelor's Degree in Computer Science, Engineering, or a related field is required.
You must have 9+ years of experience working with Cloud Computing.
You should have 2+ years of experience working with GCP (Console, Vertex AI & DialogFlow).
You need 2+ years of experience working with Machine Learning (PyTorch/Tensorflow).
You should have 1+ years of experience working with LLMs.
Experience with the development of AI products is necessary.
You must have experience working with Open Source, Big Data, and numerical programming frameworks.
An advanced English level is required for this role as you will work with US clients, and effective communication in English is essential.

You will receive USD salary compensation.
The position offers 100% remote work, with the option to visit coworking spaces across LATAM to expand your professional network.
Paid time off is provided according to your country’s law without affecting your monthly salary.
You will have your country’s national holidays off to celebrate important events and traditions with your loved ones.
Sick or medical leave is available when needed to ensure your health and well-being.
A refundable annual credit is provided for you to spend on your favorite perks.
Teambuilding activities such as coffee breaks, tech talks, and after-work gatherings are organized to foster community.
You will receive a day off during your birthday week to celebrate with family and friends.