Role: Data Scientist AI Computer Vision Location: Bangalore- Hybrid Exp: 5-10 Years Immediate Joiners Budget: 20-32 LPA We are seeking an experienced Data Scientist specializing in AI for Computer Vision to join our dynamic team.
The role
involves developing, fine-tuning, evaluating, and optimizing AI models for healthcare applications. The candidate will collaborate with data scientists, machine learning engineers, software developers, domain experts, and product managers to deliver scalable, state-of-the-art AI solutions.
Key Responsibilities
and
Required Skills
Explore and develop innovative AI algorithms for healthcare applications.
Design and refine algorithms for the pre-processing and post-processing of medical images and videos across different imaging modalities.
Develop machine learning and deep learning solutions for image classification, object detection, segmentation, and statistical modelling.
Design, train, fine-tune, evaluate, and optimize computer vision models for real-world applications.
Gather, clean, annotate, and preprocess large-scale image and video datasets for model training and evaluation.
Evaluate model performance using relevant metrics such as IoU, Dice score, mAP, sensitivity, specificity, precision, recall, and F1-score.
Perform systematic experimentation, error analysis, model comparison, and, where applicable, A/B testing.
Maintain awareness of current developments in computer vision, deep learning, multimodal AI, NLP, and Large Language Models.
Work with ML engineers to deploy and scale models in production using cloud platforms such as AWS or Azure.
Collaborate with cross-functional teams to integrate AI solutions into healthcare products, workflows, and business applications.
Follow software engineering best practices, including version control, code reviews, testing, documentation, and reproducible development. Technical
Requirements
Strong proficiency in Python.
Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
Practical experience with image processing and computer vision libraries such as OpenCV.
Strong understanding of computer vision techniques, including classification, object detection, image segmentation, transfer learning, and model fine-tuning.
Experience with Git and standard software development practices.
Familiarity with MLOps tools and technologies such as MLflow, Kubeflow, Docker, and Kubernetes.
Basic understanding of NLP and Large Language Model concepts, including transformers, tokenization, embeddings, prompt engineering, fine-tuning, and model evaluation.
Familiarity with vision-language models, multimodal AI, or combining image and textual information is desirable.
Understanding of responsible and ethical AI principles, including bias assessment, explainability, data privacy, and model fairness.
Minimum Qualifications
Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field.
At least 5+ years of experience in machine learning, deep learning, or AI research.
At least 3+ of hands-on experience developing computer vision-based AI applications.
Strong analytical, problem-solving, experimentation, and communication skills.
Ability to work effectively in a fast-paced, collaborative, and research-driven environment.
Preferred Qualifications
Experience developing AI solutions for healthcare or medical imaging applications.
Exposure to imaging modalities such as X-ray, CT, MRI, ultrasound, or video-based medical imaging.
Experience with vision-language models, multimodal foundation models, or medical report generation applications.
Publications in relevant AI or computer vision venues or meaningful contributions to opensource AI projects.