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