

Quantum Integrators
AI/ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer in Raritan, NJ, on a long-term contract. Requires 3+ years of ML experience, proficiency in Python and frameworks like TensorFlow/PyTorch, and familiarity with AWS/Azure/GCP and MLOps tools.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
November 5, 2025
π - Duration
More than 6 months
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ποΈ - Location
On-site
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
Raritan, NJ
-
π§ - Skills detailed
#AWS (Amazon Web Services) #Docker #ML (Machine Learning) #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #MLflow #Computer Science #Model Optimization #Azure #Kubernetes #Python #TensorFlow #Deployment #PyTorch #Data Processing
Role description
Job Title: AI/ML Engineer
Location: Raritan, NJ (Onsite)
Duration: Long-Term Contract
Job Description:
We are looking for an experienced AI/ML Engineer to design, develop, and deploy machine learning and AI solutions. The ideal candidate will have strong technical expertise in model development, data processing, and end-to-end AI pipeline implementation.
Responsibilities:
β’ Build and deploy ML/DL models and AI-driven applications.
β’ Perform data preprocessing, feature engineering, and model optimization.
β’ Collaborate with cross-functional teams to integrate models into production.
β’ Research and apply new AI/ML techniques to enhance performance.
Qualifications:
β’ Bachelorβs or Masterβs in Computer Science, AI/ML, or related field.
β’ 3+ years of experience in ML model development and deployment.
β’ Proficiency in Python, TensorFlow/PyTorch, and ML frameworks.
β’ Experience with AWS/Azure/GCP and MLOps tools (MLflow, Docker, Kubernetes).
Job Title: AI/ML Engineer
Location: Raritan, NJ (Onsite)
Duration: Long-Term Contract
Job Description:
We are looking for an experienced AI/ML Engineer to design, develop, and deploy machine learning and AI solutions. The ideal candidate will have strong technical expertise in model development, data processing, and end-to-end AI pipeline implementation.
Responsibilities:
β’ Build and deploy ML/DL models and AI-driven applications.
β’ Perform data preprocessing, feature engineering, and model optimization.
β’ Collaborate with cross-functional teams to integrate models into production.
β’ Research and apply new AI/ML techniques to enhance performance.
Qualifications:
β’ Bachelorβs or Masterβs in Computer Science, AI/ML, or related field.
β’ 3+ years of experience in ML model development and deployment.
β’ Proficiency in Python, TensorFlow/PyTorch, and ML frameworks.
β’ Experience with AWS/Azure/GCP and MLOps tools (MLflow, Docker, Kubernetes).






