This is a remote position. Philippine-based Filipino Applicants. IMPORTANT NOTE: Technical Challenge is required by the Client before moving forward to the final interview. Our US-based client is looking for a skilled Computer Vision Engineer to help develop advanced dental diagnostic systems. The role focuses on designing and implementing instance and semantic segmentation algorithms to accurately detect dental issues from X-rays and imagery. Strong AI back-end expertise is essential, including deep learning, model optimization, and scalable AI system development and deployment. LLM experience is a plus. Responsibilities: Develop and implement segmentation algorithms for dental image analysis. Utilize deep learning frameworks and computer vision libraries to train and fine-tune models for accurate dental problem detection. Collaborate with cross-functional teams to gather requirements and define system specifications. Evaluate and select appropriate data preprocessing techniques for dental image analysis. Optimize and improve existing computer vision algorithms to enhance accuracy and performance. Conduct thorough testing and validation of developed models to ensure reliability and robustness. Stay up to date with the latest advancements in computer vision and dental imaging technologies. Document and present research findings, methodologies, and algorithmic approaches to internal stakeholders and external partners. What You&aposll Be Doing: Designing and implementing instance segmentation algorithms for dental problem diagnosis. Collaborating with a team of researchers, engineers, and dental professionals to define system requirements and objectives. Preprocessing and augmenting dental image datasets to improve model performance. Training, fine-tuning, and evaluating deep learning models for accurate dental problem detection. Analyzing and interpreting results to identify areas for improvement and optimization. Keeping up to date with the latest research and advancements in computer vision and dental imaging technologies. Documenting research findings, methodologies, and algorithms. Presenting research and development progress to internal teams and external partners. Requirements A bachelor&aposs or master&aposs degree in Computer Science, Electrical Engineering, or a related field. 5+ years of experience in computer vision, specifically in segmentation techniques. Proficiency in programming languages such as Python and familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch). In-depth knowledge of classical computer vision algorithms (e.g., edge detection, image segmentation). Strong understanding of convolutional neural networks (CNNs) and their applications in image analysis. Design, build, fine-tune, and maintain LLM/ML systems Experience in training and fine-tuning deep learning models for object detection and segmentation tasks. Familiarity with dental imaging modalities, such as X-ray and intraoral cameras. Work Environment & Expectations While this is a work-from-home position, it is important to note that this is a full-time role -not a freelance or flexible-hour arrangement. You will be expected to work a fixed shift and maintain a high level of professionalism and accountability, just as you would in an office environment. This role requires: Discipline and commitment to set working hours (strict shift times, not flexible) Use of time tracking software during work hours Active participation in team and client calls with your camera ON Consistent availability and responsiveness throughout your shift Treating this as a long-term, full-time job-not a side gig or freelance task Payroll is processed bi-monthly. We're looking for someone who values structure, is dependable, and thrives in a role that provides consistency and clarity. If you're seeking stability and a team that appreciates reliability, we'd love to hear from you. Benefits 5. HMO Offered after 6-month probation Monthly Salary: Php82,000 Salary will be paid on a bi-monthly basis on the 15th and 30th or 31st of each month You will be paid extra for overtime and Philippines public holidays Probation: 6 months and after Probation 10 days annual leave credits 5 days of sick leave 13th Month Pay after 30 days Annual Salary Review Laptop provided after 30 days Permanent work-from-home role. You will have to use your own internet. SHIFT TIMES: 8AM to 5PM Philippine time, Tuesday to Saturday Show more Show less