Mid Fullstack AI Engineer

This is a fully remote position, open to applicants in Mexico.

📋 Description

• You will assist in designing, developing, and maintaining scalable and efficient AI models, optimizing performance and reducing costs.

• You will work closely with data scientists, software engineers, and product managers to integrate AI models into broader systems and ensure their proper functioning.

• You will analyze large volumes of data to develop predictive models that address specific customer problems.

• You will engage in the continuous improvement of systems and algorithms to maximize efficiency and reliability.

• You will utilize cloud platforms (AWS, Google Cloud, Azure) to implement AI solutions, leveraging cloud services to enhance performance and decrease costs.

• You will stay updated on the latest trends in AI and machine learning, applying new technologies and approaches to Creai's projects.

• You will document the development process and present results to both technical and non-technical audiences.

⛳️ Requirements

• Practical knowledge of Python and Java or Scala;

• Experience with machine learning frameworks such as TensorFlow or PyTorch and data libraries like pandas and scikit-learn.

• Experience with cloud platforms such as AWS, Google Cloud, or Azure.

• Ability to analyze data and apply predictive models to solve problems.

• Strong communication and collaboration skills with multidisciplinary teams.

• Interest in learning and staying updated on the latest trends in AI and machine learning.

• Familiarity with data structures, data modeling, and software architecture principles.

• Ability to communicate effectively in both languages.

🏝️ Benefits

• 100% remote work with hours aligned to CST.

• Unlimited PTO: We trust you to manage your time effectively.

• Annual development budget: Access to courses, certifications, and conferences.

• Equipment budget: Set up your ideal remote workspace.

• Health benefit: Access to private medical coverage or health insurance subsidies.

• Growth opportunities: Career planning and mentoring with experts in AI and technology.

• Dynamic and flexible startup environment: Autonomy to make decisions and propose ideas, focusing on results rather than hours worked.

• Work-life balance: A culture that prioritizes flexibility and well-being, allowing you to manage your time without sacrificing personal life.