49 Programátor Shutter

MACHINE LEARNING Engineer WANTED! – wide scope and new project

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?You could contribute to our project from a wide variety of areas: Time series analysis and predictive models – generation forecasting, load forecasting, energy market price forecasting, analysis of sensor data across the whole energy value chain Analytics services for virtual power plant/demand-side management platform Anomaly detection and predictive maintenance for various assets in the energy grid Development of automated energy trading agent intelligence – forecasts, trading strategies, backtests) Development of energy-efficiency services based on data analytics Cooperation with SW Engineers, energy experts, economists, product managersYou would be responsible for: Data cleaning, exploratory analysis, visualization Feature engineering, model building, training, evaluation Machine learning applications – your product You would be involved in the data-backend – stream processing and storage Proposing and testing new hypotheses for potential services Keeping up-to-date with development in machine learning and energy sectorWhat you should know:Data Science SW stack: Python – numpy/scipy/matplotlib/sklearn/pandas/… Deep learning – Tensorflow, Keras Overview of machine learning and statisticsSW engineering skills Linux, shell scripting, version control Development of analytics – based on REST API services Experience with cloud-providers – AWS, MS Azure, Google SQL and NoSQL databases usageNice to have (not necessary) would be if you have an experience with… Docker, Kubernetes Time series databases Practical experience with reinforcement learning (even advanced process control or trading – any area – commodities, crypto, equities) Hadoop streaming-stack (Kafka, Spark/Flink)What you can look for? small team international environment new project and a wide scope of the opportunity for you.Machine Learning? Data Science? AI? Is it the area you want to work in? Smaller company? So, continue reading… you will get more info :)So, isn´t it exciting? Willing to take part in this project? Let´s know about yourselves. Please send us your CV. Looking forward.—————————————————————————————-Keywords: Machine Learning, Deep learning, Keras, Tensorflow, Python, learning, strojové učení, Machine Learning, Deep Learning, Keras, Tensorflow, Python, learning, strojové učení, Prague machine learning, strojové učení Praha, Machine Learning Engineer

  • Od 90 tis. Kč / měs.
  • Hlavní město Praha
Mám zájem o pozici

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?
  • You could contribute to our project from a wide variety of areas:
  • Time series analysis and predictive models – generation forecasting, load forecasting, energy market price forecasting, analysis of sensor data across the whole energy value chain
  • Analytics services for virtual power plant/demand-side management platform
  • Anomaly detection and predictive maintenance for various assets in the energy grid
  • Development of automated energy trading agent intelligence – forecasts, trading strategies, backtests)
  • Development of energy-efficiency services based on data analytics
  • Cooperation with SW Engineers, energy experts, economists, product managers
You would be responsible for:
  • Data cleaning, exploratory analysis, visualization
  • Feature engineering, model building, training, evaluation
  • Machine learning applications – your product
  • You would be involved in the data-backend – stream processing and storage
  • Proposing and testing new hypotheses for potential services
  • Keeping up-to-date with development in machine learning and energy sector
What you should know:
Data Science SW stack:
  • Python – numpy/scipy/matplotlib/sklearn/pandas/…
  • Deep learning – Tensorflow, Keras
  • Overview of machine learning and statistics
SW engineering skills
  • Linux, shell scripting, version control
  • Development of analytics – based on REST API services
  • Experience with cloud-providers – AWS, MS Azure, Google
  • SQL and NoSQL databases usage
Nice to have (not necessary) would be if you have an experience with…
  • Docker, Kubernetes
  • Time series databases
  • Practical experience with reinforcement learning (even advanced process control or trading – any area – commodities, crypto, equities)
  • Hadoop streaming-stack (Kafka, Spark/Flink)
What you can look for?
  • small team
  • international environment
  • new project and a wide scope of the opportunity for you.

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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Keywords: Machine Learning, Deep learning, Keras, Tensorflow, Python, learning, strojové učení, Machine Learning, Deep Learning, Keras, Tensorflow, Python, learning, strojové učení, Prague machine learning, strojové učení Praha, Machine Learning Engineer