Vacancy expired!
- Bachelor's in computer science, engineering, or related disciplines.
- 3+ years of experience with Python with 2+ years in data science and deep learning.
- Experience with Python machine learning and deep learning libraries such as Scikit-learn, NumPy, Pandas, matplotlib, or TensorFlow/Keras.
- Experience of machine learning as well as deep learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Random Forests, CNNs, LSTMs, etc.
- Strong Microsoft Excel skills and statistics are required.
- Basic fluency in SQL or knowledge of relational databases and methods for efficiently retrieving data.
- Familiarity with ArcGIS suite of products and concepts of GIS.
- Experience in handling geospatial datasets including satellite imagery, 3D point clouds/meshes, and other geospatial datasets.
- Familiarity with OSI PI and its integration into learning models
- Familiarity with Maximo and its integration into learning models
- We are seeking for an engineer responsible for providing technical guidance, maintenance, and troubleshooting of the steam risk model system and machine learning model.
- The individual shall work closely with users from the operations, engineering, and information technology (IT) groups to facilitate solutions and enhancement of pilot steam system models.
- The engineer shall help in the preparation and update of calculation, manuals, procedures, and specifications regarding the models. Knowledge of excel, python, and risk modeling of pipeline facilities is essential.
- Manage integrations between SCADA system, OSI PI, Machine Learning modules.
- Author and maintain geospatial data science samples using ArcGIS and machine learning/deep learning libraries.
- Perform basic to advanced statistical data studies related to steam system information.
- This position is mostly on-site in Manhattan with some days remote (hybrid).
- ID: #43650965
- State: New York New york city 10008 New york city USA
- City: New york city
- Salary: USD TBD TBD
- Job type: Contract
- Showed: 2022-06-28
- Deadline: 2022-08-26
- Category: Et cetera