Middle AI Engineer (Remote, Contract)

As a Middle AI Engineer at INFUSE, your primary responsibilities will include developing and implementing AI and ML-based solutions utilizing Python and various related libraries. You are also expected to ensure the smooth operation of AI/ML projects and maintain enterprise-level applications using C#. Your role will involve balancing technical development with project management to drive results effectively.

The essential skills for a Middle AI Engineer at INFUSE include proficiency in Python along with libraries like Pandas, Numpy, Tensorflow, and Keras. A strong foundation in object-oriented programming (OOP), Git for version control, and an English proficiency level of B2 or higher are also crucial. Familiarity with AI/ML frameworks and programming in C# adds significant value to your application.

In addition to the essential skills, qualifications that are considered a plus for the Middle AI Engineer role at INFUSE include hands-on experience with data preprocessing, feature engineering, and model evaluation techniques. Knowledge of Quart and asyncio, along with experience with RPA tools like UiPath and Blue Prism, will further elevate your candidacy at INFUSE.

At INFUSE, a Middle AI Engineer can expect a comprehensive benefits package that includes paid vacation and sick leave, short Fridays during the summer, and timely payments in USD through bank transfer or PayPal/Payoneer. Additionally, annual performance reviews and support for professional growth within an exciting project environment are key aspects of working at INFUSE.

The recruitment process for a Middle AI Engineer at INFUSE involves several steps to ensure a good fit for both the candidate and the company. This includes completing a technical task, an interview with a recruiter, followed by a technical interview, a final interview, and then receiving an offer. Each stage is designed to assess your technical skills and alignment with INFUSE’s values.

In your response, highlight specific projects where you've used Python for AI/ML applications. Discuss the libraries you've worked with, such as Pandas and TensorFlow, and the complexities involved in implementing these features. Demonstrating an understanding of why Python is effective for AI/ML will be beneficial.

When discussing object-oriented programming, explain its core concepts like encapsulation, inheritance, and polymorphism. Emphasize how OOP enhances code reusability, maintainability, and clarity, making it a crucial skill for a role as complex as a Middle AI Engineer.

Discuss your approach to model evaluation, including techniques you use to validate the accuracy and performance of your models. Mention how data preprocessing and feature engineering play critical roles in ensuring the reliability of the models you develop.

Share your experiences working with C# in enterprise-level environments. Include any specific applications you've developed or maintained, emphasizing teamwork and projects that required high-quality coding standards and effective solutions.

Choose a specific instance where you faced a significant challenge, detailing the problem, how you approached finding a solution, and the outcome. This demonstrates your critical thinking and problem-solving abilities important for a Middle AI Engineer.

Outline your go-to data preprocessing strategies, such as cleaning, transforming, and normalizing data. Discuss the importance of feature selection and how these strategies contribute to improving model performance.

Talk about the resources you utilize, such as online courses, tutorials, industry publications, and forums. This can show your commitment to continuous learning, which is vital in the fast-evolving field of AI/ML.

Share your experience (if applicable) using RPA tools like UiPath or Blue Prism. Describe specific projects where you utilized these tools, showcasing the benefits to business processes and your technical skills in implementing RPA solutions.

Discuss your communication strategies, tools you use (like Slack or Zoom), and how you ensure transparency and accountability among team members. Collaborating effectively is crucial, especially in remote environments.

Share your passion for technology, solving complex problems, and contributing to meaningful projects. Discuss what drives you in this field, whether it's learning new skills, innovative problem-solving, or making a positive impact through AI.