Flam’s engineering team is seeking a skilled and motivated search engineer to build our video recommendations platform. Our vision is to build a platform that can suggest and serve video based content with 3D elements to our users. The platform must be capable of using various datapoints from user's interaction with the platform and learn and optimize the search algorithm to make videos more relevant and personalized to the user. We take inspiration from platforms like tiktok or reels that is able to serve relevant content to billions of users at a lightning speed.

Responsibilities

• Build predictive, forecasting, optimization and simulation models using statistics, Machine Learning and AI programs.
• Create a search engine based on statistical models to give the most relevant results.
• Optimize searches based on general preferences and interests.
• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
• Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.

Skills and qualification

• Prior hands on projects in AI, specifically related to search
• Knowledge of data mining and statistical search recommendations.
• Knowledge of candidate generation and ranking algorithms
• Experience in at least 1 programming language, python preferred.

The internship duration is for 4-6 months. If there is a mutual interest, we'll extend full time offer post internship. For any further queries you can mail to: [email protected]