Responsibilities:

1. Develop, test, and maintain robust, scalable, high-quality software solutions with a focus on AI, automation, and machine learning.

2. Implement machine learning algorithms and techniques.

3. Automate data collection, preprocessing, and analysis tasks.

4. Collaborate with data scientists to build predictive models and fine-tune existing algorithms.

5. Write reusable, testable, and efficient code.

6. Review and debug existing source code for issues and inefficiencies.

7. Document software for technical users and end-users.

8. Stay current with industry trends and developments in AI and machine learning.

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Requirements:

1. Bachelor's, Master's degree or PhD. in Computer Science, Engineering, Mathematics, or a closely-related field.

2. Proven experience in Python scripting.

3. Knowledge of AI and machine learning principles, and familiarity with libraries and frameworks such as TensorFlow, PyTorch, or Scikit-learn.

4. Experience with automation tools and techniques.

5. Strong problem-solving skills and ability to think algorithmically.

6. Proficiency in SQL, NoSQL and experience with other databases.

7. Familiarity with Agile development methodologies.

8. Excellent communication and teamwork skills.

9. Experience with HuggingFace, PyTorch, Tensorflow, etc.

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Nice to have: Master's or PhD in Machine-Learning, Data Science or another closely-related discipline.