UI Developer

Job Title : UI Developer – ML Frontend Integration

Location : Bangalore (Hybrid)

Shift : 10am to 7pm

Experience :

6+ years of overall experience. 3+ years of relevant experience. UI Developer who specializes in building and deploying frontends for machine learning applications, with a strong focus on modern web technologies and cloud infrastructure.

Job Summary :

We are seeking a skilled and proactive UI Developer to join our team and help build intuitive, scalable, and responsive frontend applications for machine learning models. The ideal candidate will have hands-on experience integrating ML models (e.g., via pickle files), building interactive dashboards, and deploying applications using frameworks like Flask, Streamlit, and React. Familiarity with AWS services and Snowflake as a data backend is essential.

Key Responsibilities :

Develop and maintain frontend interfaces for ML models using React, JavaScript, TypeScript, and Streamlit. - Integrate ML models (e.g., pickle files) into web applications using Flask or similar Python-based frameworks. - Collaborate with data scientists and backend engineers to ensure seamless deployment and user experience. - Build interactive dashboards and visualizations for model outputs and analytics. - Deploy and manage applications in the AWS ecosystem (e.g., EC2, S3, Lambda, API Gateway). - Connect frontend applications to Snowflake for data retrieval and manipulation. - Optimize performance and ensure cross-browser compatibility. - Maintain code quality through testing, documentation, and version control (Git). Required Skills & Qualifications : - Strong proficiency in JavaScript, TypeScript, React, and HTML / CSS. - Experience with Flask, Streamlit, or similar Python-based web frameworks. - Familiarity with machine learning model integration (e.g., using pickle files). - Hands-on experience with AWS services for deployment and hosting. - Working knowledge of Snowflake or similar cloud-based data warehouses. - Understanding of RESTful APIs and asynchronous data handling. - Excellent problem-solving and communication skills. - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

Preferred Qualifications :

• Experience with CI / CD pipelines and containerization (Docker). - Familiarity with data visualization libraries (e.g., Plotly, D3.js). - Exposure to ML workflows and model lifecycle management. - Knowledge of security best practices in web applications.