RConnect Systems
AI/ML Ops Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Ops Engineer with a 6-month contract, offering a pay rate of "insert pay rate." Work is remote. Key skills include Python, ML frameworks (TensorFlow, PyTorch), CI/CD tools, and cloud services (AWS, GCP, Azure).
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 30, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Dublin, CA
-
🧠 - Skills detailed
#Computer Science #AWS (Amazon Web Services) #Cloud #ML Ops (Machine Learning Operations) #AI (Artificial Intelligence) #Python #Deployment #GCP (Google Cloud Platform) #GitHub #Monitoring #PyTorch #Data Science #ML (Machine Learning) #Azure #TensorFlow #Jenkins #DevOps
Role description
We are looking for a skilled AI/ML Ops Engineer to help design, deploy, and maintain our machine learning models and infrastructure. You will work closely with data scientists and software engineers to streamline the ML lifecycle — from model development and training to production deployment and monitoring.
Required Skills & Qualifications:
• Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience).
• 6+ years of experience in ML Ops, DevOps, or related roles.
• Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with CI/CD tools (Jenkins, GitHub Actions, etc.).
• Familiarity with cloud services (AWS, GCP, Azure).
We are looking for a skilled AI/ML Ops Engineer to help design, deploy, and maintain our machine learning models and infrastructure. You will work closely with data scientists and software engineers to streamline the ML lifecycle — from model development and training to production deployment and monitoring.
Required Skills & Qualifications:
• Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience).
• 6+ years of experience in ML Ops, DevOps, or related roles.
• Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with CI/CD tools (Jenkins, GitHub Actions, etc.).
• Familiarity with cloud services (AWS, GCP, Azure).
