

NextGenPros Inc
AI Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Analyst with a contract length of "unknown" and a pay rate of "unknown." It requires strong expertise in supervised machine learning, model deployment, and experience with Dataiku, focusing on translating business problems into ML solutions.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
January 8, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
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π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
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π§ - Skills detailed
#Deep Learning #Dataiku #Deployment #ML (Machine Learning) #Model Evaluation #Regression #AI (Artificial Intelligence) #Classification
Role description
Job Title: AI Analyst
Location: Remote.
Contract
Job Description.
Strong technical expertise in supervised machine learning and/or deep learning. Classification and regression ML models.
β’ Proven ability to deploy and productionalize models (minimum 2 years of hands-on experience in deploying ML or deep learning models in real-world environments).
β’ Ability to work autonomously on: β¦ Translating business problems into ML solutions. β¦ Feature engineering based on business ideation. β¦ Experimentation, model evaluation, and testing for robustness. β¦ Deployment within Pfizerβs Dataiku architecture (experience with Dataiku is a must)
β’ Life sciences experience is not required, but strong technical and deployment experience is essential
Job Title: AI Analyst
Location: Remote.
Contract
Job Description.
Strong technical expertise in supervised machine learning and/or deep learning. Classification and regression ML models.
β’ Proven ability to deploy and productionalize models (minimum 2 years of hands-on experience in deploying ML or deep learning models in real-world environments).
β’ Ability to work autonomously on: β¦ Translating business problems into ML solutions. β¦ Feature engineering based on business ideation. β¦ Experimentation, model evaluation, and testing for robustness. β¦ Deployment within Pfizerβs Dataiku architecture (experience with Dataiku is a must)
β’ Life sciences experience is not required, but strong technical and deployment experience is essential






