Machine Learning/Artificial Intelligence Engineer Role
Working for a startup that has created an AI-powered networking planning app
Location: onsite 4 days a week in Brooklyn, NY
Salary: $170-220K + equity
Fulltime/staff role
Job Description:
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Design, develop, and maintain AI pipelines on AWS for LLaMA and other LLMs.
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Utilize AWS Bedrock for scalable AI solutions.
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Create and manage knowledge-based systems to enhance AI capabilities.
-
Train, fine-tune, and optimize LLMs for various applications.
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Perform prompt engineering to improve model performance and user interactions.
-
Collaborate with cross-functional teams to integrate AI solutions into products.
-
Conduct research and stay updated with the latest advancements in AI and machine learning.
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Troubleshoot and resolve issues related to AI models and pipelines.
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Document processes, experiments, and results for future reference.
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M.S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
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Proven experience working with Large Language Models (LLMs) such as LLaMA.
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Strong expertise in AWS services, including AWS Bedrock, and building scalable AI pipelines.
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Proficiency in programming languages such as Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
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Experience in prompt engineering and optimizing AI models.
-
Experience with predictive models and optimization algorithms.
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Experience with backend architecture in a startup setting.
-
Familiarity with MLOps practices and tools.
-
Contributions to open-source AI projects.
How to apply:
Please send an email to breezy@adtalentinc.com
Machine Learning/Artificial Intelligence Engineer Role
Working for a startup that has created an AI-powered networking planning app
Location: onsite 4 days a week in Brooklyn, NY
Salary: $170-220K + equity
Fulltime/staff role
Job Description:
Design, develop, and maintain AI pipelines on AWS for LLaMA and other LLMs.
Utilize AWS Bedrock for scalable AI solutions.
Create and manage knowledge-based systems to enhance AI capabilities.
Train, fine-tune, and optimize LLMs for various applications.
Perform prompt engineering to improve model performance and user interactions.
Collaborate with cross-functional teams to integrate AI solutions into products.
Conduct research and stay updated with the latest advancements in AI and machine learning.
Troubleshoot and resolve issues related to AI models and pipelines.
Document processes, experiments, and results for future reference.
M.S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Proven experience working with Large Language Models (LLMs) such as LLaMA.
Strong expertise in AWS services, including AWS Bedrock, and building scalable AI pipelines.
Proficiency in programming languages such as Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
Experience in prompt engineering and optimizing AI models.
Experience with predictive models and optimization algorithms.
Experience with backend architecture in a startup setting.
Familiarity with MLOps practices and tools.
Contributions to open-source AI projects.
How to apply:
Please send an email to breezy@adtalentinc.com