Sciative Solution - Full Stack Scientist - Machine Learning/Artificial Intelligence

The primary role of Full Stack Scientist will be to carry out a variety of software/web-application development of Sciative's SaaS products for AI powered dynamic price optimization, including but not limited to:

• Full stack development: Web application design and development concentrating on Artificial intelligence modelling operating at huge scale ( 1Billion data processing per day).
• Integrations: Develop API based integrations with third party tech platforms (e.g. GDSs operating in Travel or Hospitality industries, Seller services in marketplaces like Amazon, FlipKart, Public Apps in Shopify, woocommerce; sales enablement platforms like SalesForce, Microsoft Dynamics, etc.)
• Data engineering: Build complete understanding of data architecture, write data processing scripts to prepare data for feeding to the AI engine(s).
• AI and ML modelling: Develop or work collaboratively with the Data Science team and implement AI / ML models at production scale.
• Performance optimization: Enhance the data processing and tech architecture to deliver superior computation performance and scalability of the Apps.
• Data visualizations: Work with client and business side teams to develop rich data visualizations, and design and implement decision workflows to achieve the business object
• Agile development: Follow agile development processes to achieve impactful outcomes.

Candidate profile

• Entrepreneurial mind set with a positive attitude is a must.
• Prior experience (minimum 2 years) in multi-tenant SaaS full stack application development.
• Expert knowledge of MVC frameworks, SQL and No-SQL databases, MSA architecture, machine queues is a must.
• Strong acumen in algorithmic problem solving.
• Self-learner: highly curious, self-starter and can work with minimum supervision and guidance.
• Track record of excellence in academics or non-academic areas, with significant accomplishments.
• Excellent written & oral communication and inter-personal skills, with high degree of comfort working in teams and making teams successful.

Qualifications

• BTech / BE / BS / MTech / MCA / ME / MS in Computer Science/Engineering, IT or related field
• 3 to 5 years work experience