Senior AI/ML Engineer (PART-TIME)

As a Senior AI/ML Engineer at Intetics Inc., your main responsibilities will include conducting research and proposing high-level solutions for various commercial projects. You will collaborate with clients during the requirements definition phase, overseeing data collection for model training. Additionally, your role will involve using classic computer vision algorithms and image processing techniques, alongside developing solutions based on state-of-the-art machine learning algorithms.

Experience in the healthcare domain is crucial for the Senior AI/ML Engineer role at Intetics Inc. as it directly influences the types of projects you will work on. Knowledge of genomic and transcriptomic data will further strengthen your profile, enabling you to contribute meaningfully in a field that is increasingly relying on sophisticated AI/ML strategies.

A Senior AI/ML Engineer at Intetics Inc. should be proficient in PyTorch and OpenCV, along with having a solid grasp of classic machine learning algorithms. Familiarity with computer vision, image processing, and knowledge of linear algebra and projective geometry is also necessary to excel in the role. Additionally, experience in working with 3D data and point clouds will be beneficial.

As a part-time Senior AI/ML Engineer at Intetics Inc., you'll be part of a dynamic and collaborative work environment. Our team values innovation and creativity, giving you the space to propose high-level solutions and engage with challenging projects. Your contribution will be significant, and you will have access to both technical and non-technical team members, allowing for diverse collaboration.

When answering this question, focus on specific projects where you utilized PyTorch effectively. Describe your familiarity with model creation, training, and optimization. Highlight any metrics or outcomes from your usage that exemplify your skills and how it benefitted your projects or clients.

In your response, detail specific algorithms you've implemented, such as edge detection, object detection, or image segmentation. You can also discuss the context in which you used them and their impact on the overall project outcomes.

Discuss your methodology for gathering and curating datasets, including how you ensure the quality and relevance of the data. Touch on your communication with clients during the requirements definition phase and how it shapes data collection.

Provide examples of specific challenges, such as data inconsistencies or integration issues, and detail the strategies you implemented to resolve them. This will demonstrate your problem-solving skills and perseverance in the face of obstacles.

Showcase your understanding of how linear algebra concepts, such as matrices or vectors, play a fundamental role in machine learning algorithms. You can reference specific algorithms where these principles apply and how they enhance the model's effectiveness.

Discuss the modern algorithms you’ve worked with, such as GANs, Transformers, or reinforcement learning techniques. Emphasize any research you’ve done from scientific papers that have influenced your understanding and application of these algorithms.

In your answer, emphasize the importance of clarity and relatability in communication. Share techniques you use to break down complex ideas, like using analogies or visual aids, which help your audience grasp the concepts better.

Highlight your engagement with industry literature, conferences, online platforms, or communities that focus on AI/ML. Mention specific journals or networks you follow to stay informed about new trends and best practices.

Discuss the importance of pre-sales activities in identifying client needs and how they shape the project's direction. Emphasize that understanding client requirements allows for more tailored and effective solutions.

Choose a relevant project and elaborate on the data you worked with, the challenges faced, and the solutions you provided. This will illustrate your experience in applying AI/ML specifically in the healthcare sector.