Job Description
Description
Responsibilities
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Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
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Leading the development of advanced AI and machine learning models to solve complex business problems.
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Analyzing large datasets to identify patterns and trends that can inform AI development.
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Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
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Leading the automation and lifecycle management of sophisticated data systems.
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Mentoring junior data scientists and providing guidance on AI and machine learning best practices.
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Designing APIs for disseminating data science outputs to various business units.
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Overseeing the scaling of production systems to meet growing demands.
Requirements
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Possess an advanced or Master’s education in Computer Science, Mathematics, Statistics, or a related field.
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Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5, etc.
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Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
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Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
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Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
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Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
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Possess advanced programming skills in Python, R, or other relevant languages for data analysis.
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Company
LexisNexis
Location
Quebec
Country
Canada
Salary
100.000
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