Build AI and Machine learning solution
Budget: €5,000 – €10,000 EUR
Hi,
We are looking for a person or a company to help us building our AI pipeline, train our models, etc.
Requirements:
- Professional experience in time series data analysis using python.
- Strong knowledge in probability and statistics.
- Good understanding of machine learning techniques such as unsupervised learning, multivariate regression, anomaly detection etc.
- Proficiency in SQL and NO-SQL based databases, Scikit-learn, Numpy, Matplotlib, Pandas and TensorFlow-Keras.
- Experience in optimizing training performance in terms of duration and hardware utilization.
-Hands-on experience with Cloud (preferably AWS).
Responsibilities
- Perform exploratory data analysis on household electrical energy/power consumption over time.
- Developing models and algorithms to perform non-intrusive load monitoring by disaggregating the total
electricity consumption of a household at appliance level.
- Developing models and algorithms to perform anomaly detection on the electrical energy/power consumption of a household.
- Formulate strategies for rapid prototyping, and experimentation.
- Building infrastructure for continuous deployment using pipelining on Cloud (preferably AWS).
- Maintaining and improving machine learning model.
- Formulate strategies to cope with data drifts and deviation from training/public datasets.
- Collaborate with developers for developing strategies and distributing workload.
To better see what we are doing, please take a look at www.laylaelectric.com.
We are looking for a person or a company to help us building our AI pipeline, train our models, etc.
Requirements:
- Professional experience in time series data analysis using python.
- Strong knowledge in probability and statistics.
- Good understanding of machine learning techniques such as unsupervised learning, multivariate regression, anomaly detection etc.
- Proficiency in SQL and NO-SQL based databases, Scikit-learn, Numpy, Matplotlib, Pandas and TensorFlow-Keras.
- Experience in optimizing training performance in terms of duration and hardware utilization.
-Hands-on experience with Cloud (preferably AWS).
Responsibilities
- Perform exploratory data analysis on household electrical energy/power consumption over time.
- Developing models and algorithms to perform non-intrusive load monitoring by disaggregating the total
electricity consumption of a household at appliance level.
- Developing models and algorithms to perform anomaly detection on the electrical energy/power consumption of a household.
- Formulate strategies for rapid prototyping, and experimentation.
- Building infrastructure for continuous deployment using pipelining on Cloud (preferably AWS).
- Maintaining and improving machine learning model.
- Formulate strategies to cope with data drifts and deviation from training/public datasets.
- Collaborate with developers for developing strategies and distributing workload.
To better see what we are doing, please take a look at www.laylaelectric.com.