Job Overview

Location
Salt Lake, United State
Job Type
Full Time
Date Posted
4 months ago

Additional Details

Job ID
26334
Job Views
88

Job Description

Essential Functions and Responsibilities:

  • Contribute to the design, development, and deployment of AI/ML models, ensuring scalability and performance.
  • Assist in translating business needs into AI/ML capabilities that support institutional goals.
  • Collaborate with Data Scientists, Engineers, and other stakeholders to integrate ML solutions into WGU’s systems.
  • Participate in the ML lifecycle, including data preprocessing, model training, evaluation, and deployment.

Knowledge, Skill and Abilities:

  • Familiarity with ML techniques, deep learning frameworks (e.g., PyTorch, TensorFlow), and cloud-based big data infrastructure.
  • Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Familiarity with MLOps tools and workflows (e.g., Databricks, MLFlow, Sagemaker).
  • Understanding of scalable, distributed systems and cloud-based infrastructure.
  • Knowledge of stream-processing systems (e.g., Kafka, Spark Streaming) is a plus.

Qualifications:

  • B.S. and M.S. degree in Computer Science, Software Engineering, Data Science, Machine Learning, Math, Physics, or related fields (Ph.D. is a plus).
  • 3+ years of professional experience in a business environment.
  • 3+ years of experience in Software Engineering, Data Science, or Machine Learning.
  • 2+ years of experience working in an AI/ML context alongside Data Scientists or ML Engineers.


Qualification

Any Graduate

Experience Requirements

Fresher Experience

Location

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