

Innovatech Staffing
Machine Learning Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with over 6 months contract, offering competitive pay. Key skills include Python, PyTorch, TensorFlow, and experience in model deployment and MLOps workflows. An initial AI interview is required for opportunity matching.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
May 12, 2026
π - Duration
More than 6 months
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ποΈ - Location
Unknown
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
United States
-
π§ - Skills detailed
#PyTorch #AI (Artificial Intelligence) #Deployment #ML (Machine Learning) #Python #TensorFlow #Model Deployment
Role description
Role Responsibilities
β’ Join Mercorβs Machine Learning Engineer Network to be matched with companies hiring for ML-focused roles
β’ Contribute to machine learning model development and applied AI system optimization
β’ Work with Python and ML frameworks such as PyTorch or TensorFlow
β’ Support model deployment and MLOps workflows
β’ Participate in AI-driven opportunity matching for full-time, part-time, or project-based roles
β’ Complete an initial AI interview to become eligible for relevant listings aligned with experience
Requirements
β’ Professional experience in machine learning engineering
β’ Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
β’ Experience with model deployment and MLOps workflows
β’ Strong understanding of applied AI system optimization
β’ Ability to collaborate with AI labs and cross-functional engineering teams
β’ Willingness to complete an AI interview for opportunity matching
Role Responsibilities
β’ Join Mercorβs Machine Learning Engineer Network to be matched with companies hiring for ML-focused roles
β’ Contribute to machine learning model development and applied AI system optimization
β’ Work with Python and ML frameworks such as PyTorch or TensorFlow
β’ Support model deployment and MLOps workflows
β’ Participate in AI-driven opportunity matching for full-time, part-time, or project-based roles
β’ Complete an initial AI interview to become eligible for relevant listings aligned with experience
Requirements
β’ Professional experience in machine learning engineering
β’ Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
β’ Experience with model deployment and MLOps workflows
β’ Strong understanding of applied AI system optimization
β’ Ability to collaborate with AI labs and cross-functional engineering teams
β’ Willingness to complete an AI interview for opportunity matching






