TalentBridge
As an AI Implementation Specialist, you will play a crucial role in assisting our Data Science team in the rollout of a new AI tool. This tool aims to optimize cross-departmental processes through advanced analytics techniques. You will leverage your analytical, statistical, and programming skills to support the integration, deployment, and fine-tuning of AI-driven solutions.
Key Responsibilities: - Assist in the implementation and customization of the new AI tool. - Clean, aggregate, and analyze large data sets to ensure successful integration. - Utilize statistical modeling and machine learning algorithms to refine AI processes and improve outcomes. - Collaborate with internal teams to understand project requirements and provide analytical support. - Present findings and insights to stakeholders, adapting communication to diverse audiences with varying levels of technical expertise. - Foster an environment of collaboration, working both in-person and digitally to ensure smooth project execution.
Qualifications: - Experience with Large Language Models (LLMs) and AI tool implementation. - Ability to handle large data sets and extract actionable insights. - Strong command of statistical techniques and machine learning algorithms. - Excellent communication skills for presenting complex ideas clearly to stakeholders. - Ability to work a hybrid work schedule, with four days on-site and one day remote in a typical office environment
Education/Skills: - Bachelor's degree in computer science, statistics or operations research, or an equivalent combination of education, training and experience. - Highly proficient in SQL. - Experience with analytical and statistical software such as SAS or Alteryx. - History of using a data science toolkit, such as Python or R.
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Key Responsibilities: - Assist in the implementation and customization of the new AI tool. - Clean, aggregate, and analyze large data sets to ensure successful integration. - Utilize statistical modeling and machine learning algorithms to refine AI processes and improve outcomes. - Collaborate with internal teams to understand project requirements and provide analytical support. - Present findings and insights to stakeholders, adapting communication to diverse audiences with varying levels of technical expertise. - Foster an environment of collaboration, working both in-person and digitally to ensure smooth project execution.
Qualifications: - Experience with Large Language Models (LLMs) and AI tool implementation. - Ability to handle large data sets and extract actionable insights. - Strong command of statistical techniques and machine learning algorithms. - Excellent communication skills for presenting complex ideas clearly to stakeholders. - Ability to work a hybrid work schedule, with four days on-site and one day remote in a typical office environment
Education/Skills: - Bachelor's degree in computer science, statistics or operations research, or an equivalent combination of education, training and experience. - Highly proficient in SQL. - Experience with analytical and statistical software such as SAS or Alteryx. - History of using a data science toolkit, such as Python or R.
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