Quantum Integrators

AI/ML Engineer

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
November 5, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Raritan, NJ
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🧠 - 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€’ Bachelor’s or Master’s 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).