

Quality Choice Solutions
AI/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with a contract length of "unknown," offering a pay rate of "unknown," and located in "unknown." Requires a Bachelor's degree, 5+ years in machine learning, expertise in GenAI, and proficiency in Python.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date
January 17, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Newark, NJ
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🧠 - Skills detailed
#Python #Cloud #Automation #Data Science #AI (Artificial Intelligence) #ML (Machine Learning) #Scala #Deployment #Computer Science #DevOps
Role description
Position Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In the rapidly evolving world of Generative AI (GenAI), this role demands not only traditional machine learning expertise but also a deep understanding of GenAI-specific challenges. The ideal candidate will be a pivotal bridge between the theoretical capabilities of GenAI models and their practical application in production environments. We are looking for someone who can ensure our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective.
Qualifications:
• Bachelor's degree in computer science/Engineering, data science, or a related field. Master's degree preferred
• At least five plus years of experience as a machine learning engineer, deploying models in production
• Strong proficiency in Python and software engineering principles.
• Solid understanding of machine learning fundamentals and model lifecycle management.
• Experience with cloud platforms, containerization, and infrastructure management.
• Familiarity with DevOps practices and automation tools.
• Expertise in GenAI frameworks, prompt engineering, and model serving.
• Ability to manage GPU/TPU resources and optimize model serving frameworks.
• Experience in developing agentic systems and multi-agent architectures.
• Proven track record in cost optimization in AI deployments.
• Experience working in fast paced environment and an independent worker
Position Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In the rapidly evolving world of Generative AI (GenAI), this role demands not only traditional machine learning expertise but also a deep understanding of GenAI-specific challenges. The ideal candidate will be a pivotal bridge between the theoretical capabilities of GenAI models and their practical application in production environments. We are looking for someone who can ensure our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective.
Qualifications:
• Bachelor's degree in computer science/Engineering, data science, or a related field. Master's degree preferred
• At least five plus years of experience as a machine learning engineer, deploying models in production
• Strong proficiency in Python and software engineering principles.
• Solid understanding of machine learning fundamentals and model lifecycle management.
• Experience with cloud platforms, containerization, and infrastructure management.
• Familiarity with DevOps practices and automation tools.
• Expertise in GenAI frameworks, prompt engineering, and model serving.
• Ability to manage GPU/TPU resources and optimize model serving frameworks.
• Experience in developing agentic systems and multi-agent architectures.
• Proven track record in cost optimization in AI deployments.
• Experience working in fast paced environment and an independent worker






