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Machine Learning Engineer (Defence Applications)
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Ottawa, Ontario

Location

Full-time

Employment Type

Office

Remote Options

Machine Learning Engineer (Defence Applications)

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Role Overview:

The Machine Learning Engineer (Defence  Applications) at Globenova AI will play apivotal role in designing and deploying advanced AI models tailored to theunique challenges of Canada’s defence  sector. This position focuses on optimizingmachine learning systems for predictive analytics, natural language processing,and computer vision. The engineer will integrate these AI solutions into defence platforms, ensuring high performance,scalability, and reliability. By leveraging cutting-edge technologies, the rolecontributes to mission-critical applications, enhancing intelligence,operations, and decision-making processes for defence  agencies.

Responsibilities:

●    Design, develop, and implementmachine learning models tailored for defence  applications.

●    Collaborate with datascientists and software engineers to deploy AI solutions in defence  operations.

●    Optimize machine learningmodels for performance, scalability, and accuracy in defence  scenarios.

●    Work on projects involvingnatural language processing (NLP), computer vision, and predictive analyticsfor defence .

●    Integrate AI models intoexisting defence  systems and platforms,ensuring seamless operation and reliability.

●    Conduct research on the latestAI advancements and apply them to defence -related challenges.

●    Develop and refine LLMs andLQMs to enhance intelligence analysis and decision-making processes.

Requirements:

●    Bachelor’s or Master’s degreein Computer Science, Machine Learning, or a related field.

●    5+ years of experience inmachine learning and AI, with a focus on defence  applications.

●    Strong programming skills inPython, TensorFlow, PyTorch, or similar frameworks.

●    Experience with NLP, computervision, and predictive analytics.

●    Familiarity with defence  systems and protocols.

●    Proven track record ofdeploying machine learning models in real-world applications.

●    Security clearance andsuccessful completion of background checks will be required.

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