

Gravity IT Resources
Data Science Engineer / ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is a 6-month remote contract for a Data Science Engineer / ML Engineer, requiring 5+ years of experience in ML or Software Engineering, strong Python skills, and familiarity with cloud platforms (AWS, GCP, Azure) and CI/CD workflows.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
656
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ποΈ - Date
October 15, 2025
π - Duration
Unknown
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ποΈ - Location
Remote
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π - Contract
Unknown
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π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Scala #Version Control #Data Science #Programming #GitHub #Deployment #API (Application Programming Interface) #Microservices #GCP (Google Cloud Platform) #GIT #Kubernetes #Docker #AWS (Amazon Web Services) #ML (Machine Learning) #Cloud #Computer Science #SaaS (Software as a Service) #Azure #Python
Role description
Title: Data Science Engineer (ML Engineer)
Location: Remote
Type: 6-Month Contract (with potential for 1+ year extension)
Overview:
Weβre hiring a Data Science Engineer (ML Engineer) to help operationalize machine learning models supporting enterprise customer experience initiatives. This position involves developing scalable ML pipelines, APIs, and deployment frameworks in collaboration with Data Scientists and software teams.
Key Responsibilities:
β’ Collaborate with Data Scientists to deploy ML models into production
β’ Build and maintain ML pipelines
β’ Develop and deploy RESTful APIs and microservices
β’ Package and containerize applications using Docker and Kubernetes
β’ Ensure version control and code collaboration via Git/GitHub
β’ Collaborate on CI/CD workflows, testing, and code versioning with Git/GitHub.
β’ Optimize deployments across cloud environments (AWS, GCP, or Azure).
Qualifications:
β’ 5+ years of experience in ML Engineering or Software Engineering.
β’ Degree in Computer Science or Software Engineering preferred
β’ Strong programming background (Python)
β’ Experience with API development, microservices, and production-grade ML environments
β’ Familiarity with cloud platforms: GCP, AWS, or Azure
β’ Proficiency with CI/CD workflows and deployment tools
β’ Excellent collaboration and communication skills.
β’ SaaS background is a plus but not required
Title: Data Science Engineer (ML Engineer)
Location: Remote
Type: 6-Month Contract (with potential for 1+ year extension)
Overview:
Weβre hiring a Data Science Engineer (ML Engineer) to help operationalize machine learning models supporting enterprise customer experience initiatives. This position involves developing scalable ML pipelines, APIs, and deployment frameworks in collaboration with Data Scientists and software teams.
Key Responsibilities:
β’ Collaborate with Data Scientists to deploy ML models into production
β’ Build and maintain ML pipelines
β’ Develop and deploy RESTful APIs and microservices
β’ Package and containerize applications using Docker and Kubernetes
β’ Ensure version control and code collaboration via Git/GitHub
β’ Collaborate on CI/CD workflows, testing, and code versioning with Git/GitHub.
β’ Optimize deployments across cloud environments (AWS, GCP, or Azure).
Qualifications:
β’ 5+ years of experience in ML Engineering or Software Engineering.
β’ Degree in Computer Science or Software Engineering preferred
β’ Strong programming background (Python)
β’ Experience with API development, microservices, and production-grade ML environments
β’ Familiarity with cloud platforms: GCP, AWS, or Azure
β’ Proficiency with CI/CD workflows and deployment tools
β’ Excellent collaboration and communication skills.
β’ SaaS background is a plus but not required