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Applied Machine Learning Engineer
| Company | Signify |
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| Location | Burlington, MA, USA |
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| Salary | $94567 – $171160 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Entry Level/New Grad |
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Requirements
- Master’s degree in Computer Science, Information Systems Management, Information Technology, or a closely related field and zero (0) years of related experience required.
- Experience or coursework must include: Python; Java; SQL (MySQL, Oracle, MS SQL); Machine Learning/Deep Learning including Supervised, Unsupervised methods, regression, tree-based methods, statistical modeling, Feature Engineering, Dimensionality reduction; Jupyter notebook; PyTorch; Sklearn; Matplotlib; Keras; numPy; pandas; Tableau; PowerBI; OpenCV; Transformers (BERT, GPT); Spacy; Nltk; text classification; altair; streamlit; Docker; RESTful API; OOP; Data Structures and Algorithms; Database Management; Git; and agile framework.
Responsibilities
- Develop breakthrough AI-enabled IoT systems and services leveraging connected lighting and apply modern AI techniques in order to create value from the data collected and generated by our install base.
- Work with other research scientists to develop AI/ML solutions and deliver first-of-a-kind proof-of-concept demonstrators using data coming from IoT devices and connected lighting systems.
- Create new IoT applications that leverage the ubiquitous connected nodes of lighting in buildings, homes, cities, retail, industrial facilities.
- Develop cutting-edge algorithms and frameworks for IoT systems.
- Contribute to and cultivate forming reusable tools for reproducible ML, model deployment and data ingestion.
Preferred Qualifications
No preferred qualifications provided.
