AWSAzureCloudJavaPandasPythonPyTorchScalaScikit-LearnTensorflowAIMachine LearningTensorFlowscikit-learnGoogle CloudLeadershipMentoringRemote Work
About this role
Role Overview
You will lead the development and deployment of scalable, efficient AI models, optimizing performance, scalability, and cost.
You will work closely with data scientists, software engineers, and product managers to integrate AI solutions into larger systems and ensure they are robust, functional, and scalable.
You will analyze large volumes of complex data and develop advanced predictive models that effectively solve client-specific problems.
You will be responsible for the continuous improvement of existing systems, implementing strategies to optimize performance, efficiency, and reliability.
You will integrate AI solutions with cloud platforms (AWS, Google Cloud, Azure), leveraging their capabilities to improve performance and reduce costs.
You will maintain an innovative mindset, researching the latest trends in AI, machine learning, and emerging technologies to apply to current and future projects.
You will document complex technical processes and communicate results and innovations to both technical and non-technical stakeholders.
Requirements
Proficiency in Python, Java, or Scala; deep experience with machine learning frameworks such as TensorFlow and PyTorch, and data libraries like pandas and scikit-learn.
Strong experience working with cloud platforms such as AWS, Google Cloud, or Azure, and leveraging their machine learning services.
Expertise in analyzing complex data and building advanced predictive models.
Proven technical leadership skills, with experience guiding and mentoring other engineers.
Ability to collaborate effectively with cross-functional teams and foster a strong technical culture.
Commitment to continuous research and adoption of new technologies to keep Creai at the forefront of AI and machine learning.
Broad understanding of data structures, software design, architecture, and scalability principles.
Ability to communicate clearly in Spanish and English, presenting complex ideas in a way that is understandable to both technical and non-technical audiences.
Focus on delivering high-quality solutions, with rigorous testing and an emphasis on performance and scalability.
Tech Stack
AWS
Azure
Cloud
Java
Pandas
Python
PyTorch
Scala
Scikit-Learn
Tensorflow
Benefits
100% remote work with schedule 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.
Semi-annual performance bonuses: We recognize and reward your impact with financial incentives.
Health benefit: Access to private medical coverage or subsidies for health insurance.
Growth opportunities: Career plan and mentorship with experts in AI and technology.
Dynamic, flexible startup environment: Autonomy to make decisions and propose ideas, with a focus 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 your personal life.