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Python Engineer

Stellent IT LLC
New York, NY
  • Expired: over a month ago. Applications are no longer accepted.
Job Description

Python Developer,

Ny City, New York (OnSite)


Job Descripton:

Assignment Details:

  • Knowledge of excel, python, and risk modeling of pipeline facilities is essential. 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.
  • 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).

Skills & Requirements:

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.

The following are not required for this position but would be considered as a valuable asset in a potential candidate.

  • 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

Stellent IT LLC


New York, NY
10008 USA



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