About The Role

We are looking for a talented and experienced AI/ML Developer to enhance our team's capabilities. The successful candidate will play a crucial role in developing innovative solutions, leveraging their expertise in deep learning and image processing. With a strong background in software engineering and a hands-on approach, they will contribute to the design and implementation of data processing pipelines, ensuring efficient and effective AI integration into our enterprise solutions.

Develop and implement deep learning solutions for image data processing, utilizing convolutional networks and real-time object detection models like YOLO and SAM.
Design and construct data processing pipelines, ensuring efficient and scalable AI integration.
Build REST backends to seamlessly integrate AI models into enterprise-level solutions.
Utilize AI software frameworks such as PyTorch and TensorFlow, and model formats like ONNX, to create complex software packages.
Streamline AI development and deployment processes using ClearML or similar platforms.
Collaborate with cross-functional teams, including business analysts, subject-matter experts, and IT security professionals, to ensure successful AI implementation.
Evaluate new technologies and model approaches through fast prototyping, demonstrating a hands-on mentality.
Communicate effectively with stakeholders, presenting complex AI concepts in a clear and concise manner.
Stay updated with the latest advancements in AI and ML, contributing to the continuous improvement of our solutions.
Expertise in developing deep learning solutions, with a focus on image data processing, for over 3-5 years.
In-depth knowledge of real-time object detection and image segmentation models, such as YOLO and SAM.
Proficiency in major AI software frameworks, including PyTorch, TensorFlow, and model formats like ONNX.
Experience in building REST backends for enterprise solution integration, with a minimum of 1 year.
Familiarity with ClearML or similar platforms for streamlining AI development and deployment.
Hands-on experience with Windows and Linux operating systems, and a solid understanding of Git source control.
A university degree in Software Engineering or a related field is preferred.
Excellent communication and presentation skills, with the ability to convey complex ideas to diverse audiences.
Fluency in written and spoken English, ensuring effective collaboration and documentation.
A proactive and innovative mindset, always seeking to explore and implement cutting-edge AI technologies.