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
Job Summary:
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.
Preferred Qualifications:
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!