Company Overview :
RapidPricer is developing an exciting platform to automate the world of retail pricing. Our product helps retailers to increase margins and reduce waste by automating pricing and promotions in real time unlike traditional consulting solutions. The value of a product changes continuously due to life stage, competition and seasonality, the price does not. This results in lost margin, competitive position and wastage. We use artificial intelligence to compute the price for each product at every location based on demand, lifecycle, competition and product role. Our purpose is to ensure the price of every product is right for every customer, every single time.
This is a role for you if you:
Technical ownership of multiple modules of the platform
Determine technical direction, system design, implementation and Devops.
Accountable for system quality, security, performance, maintainability & extensibility
Knowledge of fundamental statistics
In-depth mathematical and programming understanding of machine learning concepts: regression, classification, clustering
Concepts of Image processing, computer vision
In-depth mathematical understanding and expertise in deep learning principles like deep neural nets, conv nets, recurrent nets etc.
Great Python programming skills is a must. ( some understanding of application frameworks Django is a plus)
Should be able to pick up different applications and industries like chatbot, recommendation engine, manufacturing automation, computer vision.
Day to day work will involve working on ML projects that we get from clients, adding ML features to our product Recosys, and doing ad hoc PoCs for our prospective clients.
At least 6 to 8 years of hands-on experience in the analytics and machine learning domain
The Expertise We Are Looking For:
Good experience in developing AI, NLP, Data Science Products and Platforms
Can innovate new modelling and machine learning approaches to come up with innovative products and features
Good exposure to exploratory analysis and knack of deriving business insights & value.
Comfortable with exploring large data setsShould have experience in at least one of the following areas – NLP, NLG, Image Classification / Computer Vision etc.
Ability to provide AI / Data Science Products such as Cognitive Assistants, AI Based Investment Decision Systems, Recommendation Systems, Real time prediction systems, Predictive Maintenance, Anomaly Detection.
Exposure to ML Based Techniques – Clustering, Classification, Forecasting, Optimization, Regression, Collaborative Filtering, Affinity Analysis
Must have –Python, Good to have – Scala, Julia, Java
Exposure to Big Data platforms like Hadoop and its eco-system (Hive, Pig, Sqoop, Mahout) is a plus
Bonus points for implementation of Big Data and/or Streaming data analytics
Sounds interesting? Then get in touch and let’s discuss further!