Massachusetts (Remote)
6 Months
Job Description:
We are looking for a highly motivated and innovative AI/ML Technical Consultant to join our team and support our clients. In this role, you will collaborate with stakeholders, lead strategic initiatives, and contribute to the advancement of AI/ML solutions in the healthcare sector or other domains. We are specifically looking for candidates to work on our W2. H1B transfers are also welcome.
Responsibilities:
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Engage with client stakeholders and work closely with the AI/ML team to position and enhance our Wiki
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Work closely with subject matter experts, engineers, developers, and product marketing team
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Collect and contextualize AIML-related content specifically for healthcare applications
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As an AI/ML Technical Consultant, you will utilize and repurpose public domain code samples, including onsite sample notebooks, to support project needs
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Demonstrate deep knowledge of AI code development, creating and optimizing notebooks, templates, classifiers, and best practice code segments
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Work with development and support leads to identify documentation repositories, revise and edit and determine best solutions for data compilation and centralized storage
Requirements:
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Bachelor's degree
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10 years of overall experience with at least 3 years in AI/ML
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Ability to effectively represent content on wiki pages, focusing on clarity and accuracy without formatting tasks
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Experience in improving productivity through tools and templates (e.g., Jupyter), and providing links to relevant code samples
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Proficiency in editing and proofreading documentation, ensuring clarity and precision while maintaining key information
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Strong collaboration skills to work closely with subject matter experts, engineers, developers, and the product marketing team
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Capability to research, outline, write, and edit content, collaborating with various departments to meet wiki requirements
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Skill in identifying and managing documentation repositories, revising, and editing content to ensure efficient data compilation and centralized storage