Development of integrated ML and AI system
Budget: $750 – $1,500 USD
Note. Please apply only from experienced people who can work independently, honestly and reliably.
We are looking for an experienced machine learning specialist to develop an integrated e-commerce and finance data analysis system on the Google Cloud platform, with an account hosted by our company. The purpose of the platform is to identify products with high demand, margin and low competition and create short-term investment strategies.
Responsibilities:
1. Integration of the system with various APIs of e-commerce platforms and financial information services.
2. Use of trained machine learning models for data analysis.
3. Development of algorithms identifying physical products on e-commerce platforms with high demand, margin and low competition.
4. AI module for automatic generation of transaction signals and execution of transactions by a Forex broker on the cryptocurrency, Forex and commodity markets.
5. Creation of an interactive dashboard to visualize the acquired data on physical products and financial transactions.
Requirements:
1. Independence, reliability and honesty! (Necessary)
2. Experience in machine learning and data analytics.
3. Knowledge of Python and libraries such as TensorFlow, PyTorch, Scikit-learn.
4. Experience in working with e-commerce and financial data.
5. Ability to integrate with APIs of various providers and process large data sets.
6. Knowledge of data visualization tools.
We offer:
Fair salary
Possibility of permanent cooperation
Possibility to work on an innovative project
We are looking for an experienced machine learning specialist to develop an integrated e-commerce and finance data analysis system on the Google Cloud platform, with an account hosted by our company. The purpose of the platform is to identify products with high demand, margin and low competition and create short-term investment strategies.
Responsibilities:
1. Integration of the system with various APIs of e-commerce platforms and financial information services.
2. Use of trained machine learning models for data analysis.
3. Development of algorithms identifying physical products on e-commerce platforms with high demand, margin and low competition.
4. AI module for automatic generation of transaction signals and execution of transactions by a Forex broker on the cryptocurrency, Forex and commodity markets.
5. Creation of an interactive dashboard to visualize the acquired data on physical products and financial transactions.
Requirements:
1. Independence, reliability and honesty! (Necessary)
2. Experience in machine learning and data analytics.
3. Knowledge of Python and libraries such as TensorFlow, PyTorch, Scikit-learn.
4. Experience in working with e-commerce and financial data.
5. Ability to integrate with APIs of various providers and process large data sets.
6. Knowledge of data visualization tools.
We offer:
Fair salary
Possibility of permanent cooperation
Possibility to work on an innovative project