AI Engineer (remote)

We are seeking an experienced AI Engineer to contribute to the development and enhancement of our SaaS product. This is a fully remote position, allowing you to work from anywhere, and the successful candidate will collaborate with a dynamic team to build and optimize AI-driven solutions.

The role involves:

• Developing and integrating AI algorithms and models into the existing SaaS platform.
• Collaborating with data scientists and engineers to design machine learning systems and pipelines.
• Enhancing product features using AI to provide intelligent, data-driven insights.
• Writing clean, scalable, and efficient Python code for AI models and data processing.
• Testing and optimizing algorithms for performance and scalability.
• Staying up-to-date with the latest advancements in AI and machine learning technologies.
• Participating in code reviews and contributing to the continuous improvement of the development process.

Key Qualifications:

• 5+ years of experience as an AI engineer or in a similar role.
• Proficiency in Python and AI-related libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with deploying machine learning models in production environments.
• Solid understanding of SaaS architecture and cloud-based solutions (AWS, Azure, or Google Cloud).
• Strong problem-solving skills and the ability to work independently.
• Excellent communication skills and the ability to collaborate with cross-functional teams.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

Preferred Qualifications:

• Experience in natural language processing (NLP) or computer vision.
• Familiarity with MLOps practices for automating and scaling machine learning workflows.
• Knowledge of data engineering and data analytics.

Compensation: Competitive, commensurate with experience. Contract Length: 1 year, with the possibility of extension.

About Tribes: At Tribes, we are committed to creating a diverse and inclusive work environment. We value candidates from all backgrounds and encourage individuals from underrepresented groups to apply. Diversity, equity, and inclusion are central to our mission of building high-performing teams that reflect the world we serve.