Data Scientist AI / Computer Vision

Location: Bangalore Hybrid

Experience: 1015 Years

Status: Immediate Joiners Preferred

Employment Type: Full-Time

Role Overview:

We are seeking an experienced Data Scientist specializing in AI and 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:

- 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.

- Provide technical guidance and mentorship to junior data scientists and machine learning professionals.

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.

- Experience designing and implementing production-ready AI/ML solutions at scale.

Minimum Qualifications:

- 1015 years of overall experience in machine learning, deep learning, data science, or AI research.

- Strong hands-on experience in developing computer vision-based AI applications.

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field.

- Strong analytical, problem-solving, experimentation, and communication skills.

- Demonstrated ability to lead technical initiatives and 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 open-source AI projects.

- Experience leading or mentoring AI/ML teams and driving end-to-end AI solution development.