

Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 8+ years of experience in Machine Learning Engineering and AI/ML optimization. Contract length is 12 months+, with a pay rate of "unknown." Location is Phoenix, AZ (preferred) or remote.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 7, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Phoenix, AZ
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π§ - Skills detailed
#GCP (Google Cloud Platform) #REST API #Django #Cloud #Java #Data Science #Oracle Cloud #Flask #Oracle #ML (Machine Learning) #AWS (Amazon Web Services) #React #Security #AI (Artificial Intelligence) #Data Engineering #Azure #.Net #Scala #REST (Representational State Transfer)
Role description
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β
Job Title: Data Scientist
π Location: Phoenix, AZ (Preferred) | Remote (Acceptable)
π
Duration: 12 Months+
π Job Description:
We are seeking a highly experienced Data Scientist with strong expertise in performance and cost optimization within AI/ML ecosystems. This role demands a deep understanding of machine learning engineering (MLE), AI/ML infrastructure, and end-to-end model lifecycle management.
The ideal candidate should have a minimum of 8 years of relevant experience and a track record of delivering scalable, cost-effective AI/ML solutions in hybrid or cloud-native environments (OCI preferred).
π Required Skills:
β’ 8+ years of experience in Machine Learning Engineering (MLE), Data Science, or Data Engineering.
β’ Proven experience with AI Application & Infrastructure Optimization (Capacity, Performance, Cost).
β’ Expertise in Architectural Optimization for AI/ML and GenAI platforms (security, scalability, reliability).
β’ Hands-on with Performance Tuning and Hyperparameter Optimization for AI/ML models.
β’ Experience deploying solutions in cloud-native/hybrid environments, ideally using Oracle Cloud Infrastructure (OCI).
β’ Strong grasp of CI/CD best practices and AI lifecycle management.
β’ Experience with full stack technologies: Java, .Net, React, Node.js, Flask/Django, REST APIs.
β
Preferred Qualifications:
β’ Experience with Generative AI models and large-scale AI workloads.
β’ Familiarity with cloud platforms like OCI, AWS, Azure, or GCP.
β’ Strong communication and collaboration skills to work cross-functionally.