The primary role of Sr. Full Stack Developer will be to carry out a variety software/web application development activities to support internal and external projects, including but not limited to:

Job Responsibilities :

- Hands on (Full Stack) Web application design and development concentrating on Artificial intelligence using big data technologies.

- Facilitate solution efficiencies, scalability and technology stack leadership.

- Ensure foolproof and robust applications through unit tests and other quality control measures. Follow an agile development process, and enable rapid solutions to business challenges.

- Take inputs from internal and external clients and constantly strive to improve solutions.

- Setup and following software design, development, testing and documentation best practices.

- Data engineering: Extract and parse data from online and local data sources; Clean up data, audit data for accuracy, consistency and completeness.

- Data analytics: Apply analytics and artificial intelligence techniques (using tool such as - but not limited to - Excel, SQL, Python, SAS, R, MATLAB, etc.) and extract valuable and actionable insights. Data processing and visualization: Summarize insights in a simple yet powerful charts, reports, slides, etc.

- Project operations: For internal and external client projects, use our proprietary tools for performing data engineering, analytics and visualization activities. Responsible for project deliveries, escalation, continuous improvement, and customer success.

Candidate Profile :

- Strong knowledge of MVC frameworks, SQL coding, and at least one of the following: AngularJS, Django, Flask, Ruby on Rails, NodeJS, is a must.

- Expertise in Full Stack Web Application development is required.

- Proficiency in software development: Conceptualizing, Designing, Coding, debugging.

- Prior Background in AI, ML, Deep Learning, Image processing and computer vision is preferred.

- Strong in algorithm design, database programming (RDBMS), and text analytics.

- Knowledge of NoSQL and Big Data technologies like MongoDB, Apache Spark, Hadoop stack, and Python data science stack is a plus.

- High problem-solving skills: able to logically breakdown problems into incremental milestones, prioritize high impact deliverables first, identify bottlenecks and work around them.

- Self-learner: highly curious, self-starter and can work with minimum supervision and guidance.

- Entrepreneurial mind set with a positive attitude is a must.

- Track record of excellence in academics or non-academic areas, with significant accomplishments."