We are looking for a Machine Learning Engineer who is really interested in this area. We are introducing you the opportunity with a wide scope and what is the best – really early stage of the project – so your direct impact will be really significant. The choice of areas and technologies to fit your skills and interests – this is the opportunity which comes just once in a life 🙂
Our client is a global company in the area of renewable energy. The company is building the next generation systems – energy systems powered by intelligent transactive markets, ubiquitous sensors, intensive analytics services.
What is the opportunity about?
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You could contribute to our project from a wide variety of areas:
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Time series analysis and predictive models – generation forecasting, load forecasting, energy market price forecasting, analysis of sensor data across the whole energy value chain
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Analytics services for virtual power plant/demand-side management platform
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Anomaly detection and predictive maintenance for various assets in the energy grid
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Development of automated energy trading agent intelligence – forecasts, trading strategies, backtests)
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Development of energy-efficiency services based on data analytics
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Cooperation with SW Engineers, energy experts, economists, product managers
You would be responsible for:
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Data cleaning, exploratory analysis, visualization
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Feature engineering, model building, training, evaluation
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Machine learning applications – your product
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You would be involved in the data-backend – stream processing and storage
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Proposing and testing new hypotheses for potential services
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Keeping up-to-date with development in machine learning and energy sector
What you should know:
Data Science SW stack:
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Python – numpy/scipy/matplotlib/sklearn/pandas/…
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Deep learning – Tensorflow, Keras
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Overview of machine learning and statistics
SW engineering skills
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Linux, shell scripting, version control
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Development of analytics – based on REST API services
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Experience with cloud-providers – AWS, MS Azure, Google
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SQL and NoSQL databases usage
Nice to have (not necessary) would be if you have an experience with…
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Docker, Kubernetes
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Time series databases
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Practical experience with reinforcement learning (even advanced process control or trading – any area – commodities, crypto, equities)
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Hadoop streaming-stack (Kafka, Spark/Flink)
What you can look for?
So, isn´t it exciting? Willing to take part in this project? Let´s know about yourselves. Please send us your CV. Looking forward.
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