

Tekskills Inc.
AI/ML Ops Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Ops Engineer, offering a 12+ month remote contract with a pay rate of "unknown." Key skills include hands-on experience with Generative and Agentic AI platforms, MCP server management, and familiarity with cloud platforms (Azure, AWS, GCP).
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 19, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Cloud #Data Science #Docker #ML (Machine Learning) #Kubernetes #AI (Artificial Intelligence) #ML Ops (Machine Learning Operations) #Security #Deployment #Compliance #Azure #GCP (Google Cloud Platform) #AWS (Amazon Web Services)
Role description
Job Title: AI/ML Ops Engineer
Location: Remote
Duration: 12+ months
Job Details:
We are seeking an experienced AI/ML Ops Engineer to provide operational support for cutting-edge AI platforms, including Generative AI and Agentic AI systems. The ideal candidate will have hands-on experience in managing AI infrastructure and resolving technical issues related to AI platforms.
Key Responsibilities:
• Provide first-line support for Generative AI and Agentic AI-related queries and issues.
• Troubleshoot and resolve tickets related to Gen AI and Agentic AI platforms.
• Manage and maintain MCP servers and related infrastructure.
• Collaborate with development and data science teams to ensure smooth deployment and operation of AI models.
• Monitor system performance and implement best practices for AI/ML operational efficiency.
Required Skills & Experience:
• Hands-on experience with Generative AI and Agentic AI platforms.
• Strong understanding of MCP servers and AI infrastructure.
• Proven ability to resolve technical issues and support AI/ML systems.
• Familiarity with AI/ML lifecycle management and operational workflows.
• Excellent problem-solving and communication skills.
Preferred Qualifications:
• Experience with cloud platforms (Azure, AWS, GCP) for AI/ML deployments.
• Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines.
• Understanding of AI security and compliance best practices.
Job Title: AI/ML Ops Engineer
Location: Remote
Duration: 12+ months
Job Details:
We are seeking an experienced AI/ML Ops Engineer to provide operational support for cutting-edge AI platforms, including Generative AI and Agentic AI systems. The ideal candidate will have hands-on experience in managing AI infrastructure and resolving technical issues related to AI platforms.
Key Responsibilities:
• Provide first-line support for Generative AI and Agentic AI-related queries and issues.
• Troubleshoot and resolve tickets related to Gen AI and Agentic AI platforms.
• Manage and maintain MCP servers and related infrastructure.
• Collaborate with development and data science teams to ensure smooth deployment and operation of AI models.
• Monitor system performance and implement best practices for AI/ML operational efficiency.
Required Skills & Experience:
• Hands-on experience with Generative AI and Agentic AI platforms.
• Strong understanding of MCP servers and AI infrastructure.
• Proven ability to resolve technical issues and support AI/ML systems.
• Familiarity with AI/ML lifecycle management and operational workflows.
• Excellent problem-solving and communication skills.
Preferred Qualifications:
• Experience with cloud platforms (Azure, AWS, GCP) for AI/ML deployments.
• Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines.
• Understanding of AI security and compliance best practices.






