Junior AI Programmer

We are a forward-thinking technology trailblazer committed to harnessing the power of artificial intelligence to drive progress. Our teams operate at the intersection of groundbreaking research and real-world application, delivering transformative solutions across sectors like finance, healthcare, automotive, and e-commerce. You will join a collaborative, results-oriented environment where curiosity is encouraged and continuous learning is part of the job. We believe in empowering our talent, providing the resources and mentorship needed to turn ambitious ideas into reality—all within a flexible, remote-first culture.

Your Impact and Responsibilities

- Develop, code, and deploy robust AI and machine learning solutions using Python and its extensive ecosystem of libraries.

- Implement and refine complex machine learning algorithms—including those for neural networks, natural language processing (NLP), or computer vision—under the guidance of senior engineers.

- Vigorously test AI functionalities and system performance to ensure accuracy, speed, and scalability.

- Systematically debug and resolve issues in code, ensuring the stability and reliability of our AI applications.

- Collaborate closely with cross-functional teams of data scientists, software engineers, and product managers in an Agile environment.

- Support the seamless integration of machine learning models into our larger production platforms and software applications, often via RESTful APIs.

- Actively maintain and enhance the quality of our AI codebases through refactoring, optimization, and adherence to best practices.

- Create clear and comprehensive technical documentation for your code, logic, and processes to support team collaboration and future development.

- Contribute to MLOps practices for model versioning, monitoring, and lifecycle management.

- Embrace continuous learning by staying current with the latest advancements in AI libraries, frameworks, and methodologies.

Qualifications and Skills

- A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related technical discipline is required.

- Demonstrable proficiency in Python and a strong understanding of its core data science and machine learning libraries (e.g., NumPy, Pandas, Scikit-learn).

- Solid theoretical foundation in machine learning concepts, data structures, and algorithm design and implementation.

- Hands-on experience with at least one major deep learning framework such as TensorFlow, PyTorch, or Keras, gained through academic projects, internships, or personal projects.

- Proficiency with modern version control systems, particularly Git, for collaborative code development.

- Exceptional problem-solving and analytical abilities, with a keen eye for detail.

- Strong communication and teamwork skills... essential for a collaborative, remote environment.

- An inherent adaptability and a proactive desire to tackle new challenges and learn new technologies.