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 (ref:hirist.tech)