

MeeBoss
Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer with a contract length of "X months" and a pay rate of "$X/hour." Key skills include proficiency in Python, Java, R, and experience with TensorFlow and PyTorch.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 12, 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
United States
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🧠 - Skills detailed
#Scala #Microservices #Libraries #AI (Artificial Intelligence) #ML (Machine Learning) #Python #TensorFlow #Java #PyTorch #Programming #"ETL (Extract #Transform #Load)" #R
Role description
Responsibilities:
• Design and implement AI models and algorithms to address complex challenges effectively.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems seamlessly.
• Conduct research to remain informed about the latest AI technologies and methodologies.
• Optimize and fine-tune AI models for enhanced performance and scalability in production environments.
• Analyze data sets to extract insights and improve AI functionalities continuously.
• Design and architect low-latency, high-availability microservices for robust AI applications.
• Ensure hands-on involvement in shipping production-grade software in a multi-tenant environment.
Qualifications:
• Proficiency in programming languages such as Python, Java, or R, with a strong software development background.
• Solid understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Experience with data preprocessing and analysis techniques to enhance AI model performance.
• Excellent problem-solving skills and ability to work collaboratively within a team environment.
• Proven ability to design and implement microservices architecture for scalable applications.
Responsibilities:
• Design and implement AI models and algorithms to address complex challenges effectively.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems seamlessly.
• Conduct research to remain informed about the latest AI technologies and methodologies.
• Optimize and fine-tune AI models for enhanced performance and scalability in production environments.
• Analyze data sets to extract insights and improve AI functionalities continuously.
• Design and architect low-latency, high-availability microservices for robust AI applications.
• Ensure hands-on involvement in shipping production-grade software in a multi-tenant environment.
Qualifications:
• Proficiency in programming languages such as Python, Java, or R, with a strong software development background.
• Solid understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Experience with data preprocessing and analysis techniques to enhance AI model performance.
• Excellent problem-solving skills and ability to work collaboratively within a team environment.
• Proven ability to design and implement microservices architecture for scalable applications.






