Summary: Seeking a Data Engineer/Analyst to develop machine learning models for predictive maintenance in combat vehicles.

Requirements:

Strong background in statistical analysis, data mining, pattern recognition, machine learning, deep learning, classification, and clustering. Proficiency in programming languages such as Python, MATLAB, and C/C++. Experience with data manipulation using libraries like Pandas, NumPy, and Scikit-learn. Complex SQL scripting and database normalization expertise. Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib. Knowledge of machine learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with big data technologies like Hadoop, Spark, or Hive. Understanding of reliability testing and risk analysis methods like FMEA.

Preferred Skills:

Knowledge of communication protocols (e.g., CAN, Ethernet).

Responsibilities:

Develop and implement machine learning-based models for predicting vehicle component failures and maintenance needs. Collect and analyze data from various vehicle sensors and systems.

Pay Details: $40.00 to $60.00 per hour

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

Equal Opportunity Employer/Veterans/Disabled

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The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
The California Fair Chance ActLos Angeles City Fair Chance OrdinanceLos Angeles County Fair Chance Ordinance for EmployersSan Francisco Fair Chance Ordinance