Ensemble Energy (acquired by SparkCognition) offers AI-powered asset management and predictive maintenance tools and services for the energy industry. Their Energy.ML platform uses machine learning to identify underperforming assets, predict failures, and prevent outages, leading to increased energy production, reduced operational costs, and improved efficiency. The platform integrates with existing sensors and provides prescriptive analytics. Ensemble Energy also provides technical advisory services leveraging their clean energy domain expertise and data analytics capabilities. They serve leading asset owners and service providers.
• data visualization
• predictive maintenance
• prescriptive analytics
• ai enabled asset management
• fault-tolerant etl pipelines
Data Engineering Intern
AI-powered asset management and predictive maintenance platform for the energy industry, increasing efficiency and reducing costs.
Education Requirements:
Currently enrolled or recently graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in data engineering preferred.
Current BS or MS student or recent graduate. CS major is a plus
Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred.
BS or MS in Computer Science or related field
Experience Requirements:
Strong understanding of data engineering principles using big data technologies
Expertise in relational databases (MSSQL/MySQL/Postgres) and expertise in SQL. Exposure to NoSQL such as Cassandra. MongoDB will be a plus
Experience with distributed computing using Hadoop and Spark
Exposure to deploying ETL pipelines such as AirFlow, AWS Data Pipeline, AWS Glue
Excellent programming skills in Java, SCALA or Python. Python is preferred. Experience using Tableau for data visualization will be a plus Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.)React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus Experience with Elasticsearch/ELK stack a plus Contribute with ideas to overall product strategy and roadmap Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with other team members for continuous development Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application. Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM. Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those. Excellent programming skills in prototyping languages such as Python and R. Python is preferred. Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) will be a plus. Smart, motivated and can-do attitude is absolute must. Excellent verbal and written communication. React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s BS or MS in Computer Science or related field Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus Contribute with ideas to overall product strategy and roadmap Improve codebase with continuous refactoring Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with team in Sunnyvale, CA to lead 24x7 product development
Responsibilities:
participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms
participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform
participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms
participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform
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Full Stack/IOT Intern
AI-powered asset management and predictive maintenance platform for the energy industry, increasing efficiency and reducing costs.
Education Requirements:
Current BS or MS student or recent graduate. CS major is a plus
Experience Requirements:
React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s
Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design
Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus
Experience with Elasticsearch/ELK stack a plus
Contribute with ideas to overall product strategy and roadmap
Responsibilities:
participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform
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Data Science Intern
AI-powered asset management and predictive maintenance platform for the energy industry, increasing efficiency and reducing costs.
Education Requirements:
Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred
Experience Requirements:
Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application
Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM
Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those
Excellent programming skills in prototyping languages such as Python and R. Python is preferred
Responsibilities:
participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms
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