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This position is located in our Lafayette, Louisiana office; however, a hybrid working model is acceptable.
Your future duties and responsibilities:
Develop, test, and deploy machine learning models and AI enabled solutions; Implement data pipelines and workflows to support model training, validation, and inference; Evaluate model performance and recommend or implement improvements to accuracy, efficiency, and reliability; Apply machine learning and deep learning techniques to support business and mission requirements; Support model deployment and integration within operational environments; Assist with model monitoring, retraining, and lifecycle management activities; Collaborate with software engineers, data engineers, and platform teams to support AI/ML solution delivery; Document technical processes, model configurations, and implementation approaches. Required qualifications to be successful in this role:
Bachelor's degree in a related field, or equivalent relevant experience if permitted by contract; Experience in machine learning engineering, data science, software engineering, or a related technical field; Experience developing and deploying machine learning models and supporting pipelines; Knowledge of deep learning concepts, model optimization techniques, and foundational MLOps practices; Proficiency in Python and familiarity with common AI/ML frameworks or libraries; Strong analytical, problem solving, and communication skills.
Now viewing: Al ML Engineer @ CGI
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Al ML Engineer @ CGI
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Job Description
Position Description:
The AI/ML Engineer is an engineer responsible for developing, testing, and deploying machine learning solutions that support analytics, automation, and decision making capabilities. This role applies knowledge of machine learning algorithms, deep learning techniques, model optimization, and foundational MLOps practices to build and maintain effective AI/ML solutions. The AI/ML Engineer works collaboratively with cross functional teams to support model development, integration, and operational deployment.This position is located in our Lafayette, Louisiana office; however, a hybrid working model is acceptable.
Your future duties and responsibilities:
Develop, test, and deploy machine learning models and AI enabled solutions; Implement data pipelines and workflows to support model training, validation, and inference; Evaluate model performance and recommend or implement improvements to accuracy, efficiency, and reliability; Apply machine learning and deep learning techniques to support business and mission requirements; Support model deployment and integration within operational environments; Assist with model monitoring, retraining, and lifecycle management activities; Collaborate with software engineers, data engineers, and platform teams to support AI/ML solution delivery; Document technical processes, model configurations, and implementation approaches. Required qualifications to be successful in this role:
Bachelor's degree in a related field, or equivalent relevant experience if permitted by contract; Experience in machine learning engineering, data science, software engineering, or a related technical field; Experience developing and deploying machine learning models and supporting pipelines; Knowledge of deep learning concepts, model optimization techniques, and foundational MLOps practices; Proficiency in Python and familiarity with common AI/ML frameworks or libraries; Strong analytical, problem solving, and communication skills.