Staff Engineer - Computer Vision and Machine Learning

Work Flexibility: Hybrid

Who we want

Detail-oriented process improvers. Critical thinkers who naturally see opportunities to develop and optimize work processes -- finding ways to simplify, standardize and automate.

Strategic thinkers. People who enjoy analyzing data or trends for the purposes of planning, forecasting, advising, budgeting, reporting, or sales opportunities.

Collaborative partners. People who build and leverage cross-functional relationships to bring together ideas, data and insights to drive continuous improvement in functions.

Analytical problem solvers. People who go beyond just fixing to identify root causes, evaluate optimal solutions, and recommend comprehensive upgrades to prevent future issues.

Dedicated achievers. People who thrive in a fast-paced environment and will stop at nothing to ensure a project is complete and meets regulations and expectations.

What you will do:

Key Responsibilities:

• Develop advance computer vision, medical image processing solutions.

• Work on design and implementation of ML/DL solutions for image segmentation, pattern recognition, object identification.

• Wright high-quality, scalable and maintainable code in C++, C# and Python for state-of-the-art products.

• Work closely with cross-functional teams including data scientists, radiologists, hardware engineers, and other stakeholders to integrate advance features into clinical workflows and products.

• Create and Maintain detailed and clear technical documentation of the developed software components and algorithms, ensuring regulatory compliance and reproducibility.

What You Need:

Minimum Qualifications (Required):

• BTech/MTech in Computer Science, Electronics Engineering or related field with focus on Image Processing, Computer Vision, ML/DL.

• 7-9 years of experience in developing high quality codes using C++, C# and Python. Candidates with experience in api/library development will be preferred.

• At least 5 years of experience developing Computer Vision and ML/DL solutions in image segmentation, object detection, pattern recognition etc.

Preferred Qualifications (Strongly desired):

• Solid coding skill in C++. Experience in OOP, STL, template programming, multithreading, basic design patterns is preferred. Candidate should have excellent debugging and optimization skill.

• Excellent understanding of data structures and algorithms.

• In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, sci-kit-learn, Pillow and TensorFlow/PyTorch.

• Candidate should have excellent proficiency in OpenCv.

• In-depth understanding of color-space, histogram, contrast enhancement, spatial and frequency domain filtering, Morphology, connected components analysis, image segmentation, object detection, camera calibration, pattern finding, feature detectors, geometry analysis, multiple view geometry, 3D reconstruction algorithms.

• Excellent understanding of ML algorithms like SVM, Random Forest, regression analysis, Cluster analysis, PCA.

• Experience with DL models like VGG, YOLO, U-Net, ResNet etc.

• Knowledge of medical imaging modalities such as CT, MRI, or ultrasound and familiarity with medical data handling.

• Understanding of medical device regulatory requirements and standards (e.g., FDA, CE marking).

• Strong problem-solving skills and ability to work in collaborative, cross-functional teams.

• Basic understanding of C# will be an added advantage.

• Experience with VTK, ITK and MITK will be an added advantage.

We are looking for highly skilled Staff Engineer with a solid background in Image Processing/ Computer Vision and Machine Learning in healthcare domain. This position is suitable for professionals with 7-9 years of experience in the field mentioned above. The ideal candidate will be proficient in C++, Python, OpenCv, TensorFlow/PyTorch . The candidate should have hands-on experience in developing, debugging, optimizing and documenting Computer Vision solutions for healthcare applications.

Travel Percentage: 10%