Junior AI Engineer

Company Description Vi-Scan Diagnostics is a technology-driven dental diagnostic start-up focused on standardizing diagnosis and treatment planning across the dental industry. As the largest chain of dental diagnostic centers in India, Vi-Scan collaborates closely with dentists to provide detailed 2D and 3D imaging, in-depth treatment planning, and improved visibility into patient anatomy and physiology. The organization is actively working on early detection of head and neck cancers, which represent over 30% of cancers in India and are often diagnosed late. Recognized by platforms such as YourStory, CEO Insight, The Corporate Review, and The CEO Story, Vi-Scan has been listed among the top 10 most trusted diagnostic brands in 2022. Vi-Scan is building India’s first AI assistant for radiologists, diagnostic centers, dentists, and insurers, aligning with its vision of “Analysis Based Care” to improve patient outcomes and unlock value across the dental healthcare ecosystem.

Role Description The Junior AI Engineer role is a full-time, on-site position based in Bengaluru South. This role involves assisting in the design, development, and deployment of AI models that support dental imaging analysis, treatment planning, and claims management workflows. Day-to-day tasks include data preprocessing, model training and evaluation, basic algorithm implementation, and collaboration with senior engineers and product teams to translate clinical and business requirements into technical solutions. The Junior AI Engineer will contribute to building and refining the AI assistant, integrating models into production systems, documenting workflows, and participating in code reviews. The role also includes working closely with radiologists, diagnostic center teams, and internal stakeholders to validate AI outputs and continuously improve system performance.

Qualifications

• Strong foundation in programming and software development, preferably with experience in languages such as Python and familiarity with version control tools.
• Knowledge of core AI and machine learning concepts, including supervised and unsupervised learning, model evaluation, and hands-on exposure to ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience or coursework in data handling and analysis, including data preprocessing, feature engineering, and working with structured and unstructured datasets.
• Understanding of basic computer vision techniques or interest in working with medical imaging data (2D and 3D scans) is highly beneficial.
• Ability to work collaboratively in cross-functional teams, communicate technical ideas clearly, and incorporate feedback from clinical and non-technical stakeholders.
• Bachelor’s degree (or equivalent) in Computer Science, Engineering, Data Science, or a related technical field; relevant projects, internships, or research work are a plus.
• Interest in healthcare technology and willingness to learn about dental diagnostics, treatment planning, and insurance workflows. <