AI Pipeline Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Pipeline Engineer on a contract basis, offering a competitive pay rate. Key skills include AI/ML pipeline management, proficiency in Python, and familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
800
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🗓️ - Date discovered
June 6, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#ML (Machine Learning) #Azure #Docker #Deployment #AWS (Amazon Web Services) #Python #Kubernetes #Data Processing #Cloud #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Programming #Scala #Data Science
Role description
The AI Pipeline Engineer will be designing the pipeline, deciding what model they will be using, do they need an LM off shelf or train their own, machine learning, set up the infrastructure
• Design, build, and maintain robust AI pipelines for data processing, model training, and deployment.
• Collaborate with data scientists and engineers to implement cutting-edge AI solutions.
• Optimize existing AI infrastructure for performance, scalability, and reliability.
• Troubleshoot and resolve issues in the AI pipeline environment.
• Document and maintain best practices for AI pipeline development and deployment
• Develop and implement Minimum Viable Product (MVP) code for AI initiatives.
• Collaborate with other engineers to transition MVP code to production-ready systems.
Qualifications
• Proven experience in building and managing AI/ML pipelines.
• Proficiency in Python and other relevant programming languages.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Strong understanding of data processing and machine learning concepts.
The AI Pipeline Engineer will be designing the pipeline, deciding what model they will be using, do they need an LM off shelf or train their own, machine learning, set up the infrastructure
• Design, build, and maintain robust AI pipelines for data processing, model training, and deployment.
• Collaborate with data scientists and engineers to implement cutting-edge AI solutions.
• Optimize existing AI infrastructure for performance, scalability, and reliability.
• Troubleshoot and resolve issues in the AI pipeline environment.
• Document and maintain best practices for AI pipeline development and deployment
• Develop and implement Minimum Viable Product (MVP) code for AI initiatives.
• Collaborate with other engineers to transition MVP code to production-ready systems.
Qualifications
• Proven experience in building and managing AI/ML pipelines.
• Proficiency in Python and other relevant programming languages.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Strong understanding of data processing and machine learning concepts.
