Join our team to build and scale critical AI solutions that power our next generation of products. We are seeking a mid-level Python Developer with a strong AI focus to design, implement, and deploy intelligent systems from concept to production, working remotely and contributing directly to our core innovation.
Responsibilities
Design, develop, and maintain robust Python-based applications and services for AI/ML initiatives.
Implement and optimize machine learning models, algorithms, and data processing pipelines.
Write clean, efficient, well-documented, and testable code adhering to best practices.
Collaborate with data scientists and MLOps engineers to integrate models into production environments.
Participate in code reviews, system design, and architectural discussions to ensure technical excellence.
Troubleshoot and debug production issues, contributing to system reliability and performance.
Requirements
3+ years of professional experience in Python development, specifically within AI/ML contexts.
Proficiency with at least one major AI/ML framework (e.g., TensorFlow, PyTorch, scikit-learn).
Solid understanding of data structures, algorithms, and software design principles.
Demonstrated experience using Git for version control (e.g., GitHub).
Practical experience with Docker for containerization and application deployment.
Familiarity with modern IDEs like VS Code or PyCharm.
Ability to work independently, manage project timelines, and communicate effectively in a remote setting.
Nice-to-Haves
Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
Familiarity with MLOps principles, tools, or CI/CD pipelines.
Contributions to open-source projects or a strong portfolio of personal AI/ML projects.
Experience with distributed computing frameworks.
What We Offer
A fully remote work environment, offering flexibility and autonomy.
Opportunity to work on challenging, high-impact AI projects at the forefront of the industry.
Competitive salary, comprehensive health benefits, and a generous PTO policy.
Dedicated budget for professional development, conferences, and continuous learning.
A collaborative, technically driven culture with direct access to senior leadership and mentorship.