Junior AI Algorithm Engineer (Remote Available)

Technology organization dedicated to solving complex problems through artificial intelligence. Our teams are distributed across various high-impact sectors - from finance and healthcare to e-commerce and media. 

What You Will Do

- Develop and implement novel AI algorithms and machine learning models from concept to deployment.

- Code robust, efficient, and scalable solutions primarily in Python, adhering to best practices in software engineering.

- Conduct rigorous performance testing and validation to ensure model accuracy, efficiency, and fairness.

- Debug and resolve complex issues within AI systems and algorithmic logic... often the kind that requires creative thinking.

- Systematically optimize algorithms for speed, scalability, and resource consumption on cloud infrastructure.

- Create and maintain comprehensive design documentation for algorithms, models, and systems.

- Collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to align on project goals.

- Contribute to the maintenance and expansion of our internal algorithm libraries, making our tools better for everyone.

- Support the integration of machine learning models into production environments (a critical final step).

- Engage in continuous learning to stay current with advanced AI and ML techniques and bring new ideas to the table.

What You Will Bring

- A Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related technical field.

- A solid foundation in algorithm design, data structures, and software engineering principles is absolutely essential.

- Proficiency in Python and strong experience with its scientific computing libraries (e.g., NumPy, Pandas, Scikit-learn).

- Hands-on experience with major machine learning frameworks like TensorFlow or PyTorch, demonstrated through academic projects, research, or internships.

- Exceptional problem-solving abilities and a methodical approach to debugging intricate code.

- Excellent communication and teamwork skills, with the ability to articulate complex technical concepts clearly and concisely.

- A profound desire to learn and adapt in a fast-paced, ever-evolving technological landscape.

Preferred Qualifications (Bonus Points)

- A Master's degree in a relevant field.

- Familiarity with cloud platforms (AWS, GCP, or Azure) and their associated AI/ML services.

- Experience with containerization technologies like Docker and orchestration tools like Kubernetes.

- Practical knowledge of version control systems, particularly Git, and collaborative workflows.

- Exposure to the full software development lifecycle (SDLC), including agile methodologies.