Job Openings DeepTek.ai - Computer Vision Engineer

About the job DeepTek.ai - Computer Vision Engineer

Job Title: DeepTek.ai - Computer Vision Engineer

Job Location: Pune, Maharashtra, India

Job Location Type: Hybrid

Job Contract Type: Full-time

Job Seniority Level: Mid-Senior level

Description

We are looking for a Senior Computer Vision Engineer who is passionate about working in the healthcare AI domain. This role will involve collaborating with cross-functional teams, including senior data scientists, application developers, and radiology experts, to develop and refine AI solutions for medical imaging.

You will gain hands-on experience working on advanced projects and research opportunities in Computer Vision and Deep Learning.

Key Responsibilities

  • Lead the design, development, and optimization of deep learning models for medical image analysis, including tasks like segmentation, classification, object detection.
  • Provide technical leadership and mentorship to junior data scientists and engineers, fostering best practices in research methodology, coding standards, and documentation.
  • Perform advanced error analysis, bias assessment, and domain generalization studies to ensure robustness across diverse populations and imaging devices.
  • Guide data storage, pre processing and annotation strategies, collaborating with clinical experts to ensure data quality and clinical validity.
  • Collaborate cross-functionally with radiologists, regulatory teams, and product stakeholders to align AI development with clinical requirements and compliance :
  • 3+ years in Computer Vision/Image Processing/Data Science/Machine Skills :
  • Strong programming skills in Python and familiarity with data science and image processing libraries (e.g.,NumPy, pandas, scikit-learn, opencv, PIL).
  • Strong fundamental knowledge of machine learning, computer vision and image processing.
  • Hands-on experience with deep learning frameworks like Keras or PyTorch.
  • Demonstrated experience with both CNNs and transformer-based architectures (e.g., ViT, Swin) for segmentation, detection, and classification tasks.
  • Strong background with model evaluation and error analysis.
  • Ability to bridge data science with engineering tasks, ensuring smooth integration of AI models into production workflows.
  • Hands-on experience with model optimization techniques (e.g distillation, ONNX conversion) for efficient inference.
  • Hands-on experience with containerization tools like Skills :
  • Familiarity with healthcare/radiology datasets, DICOM standards, and PACS integration.
  • Experience with domain adaptation, and robustness strategies for cross-site/cross-device generalization.
  • Experience with scalable backend development for AI :
  • Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Statistics, or a related Location : Baner, Pune.

(ref:hirist.tech)


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