Job Url: https://www.remoterocketship.com/company/ihorizons/jobs/machine-learning-operations-engineer-united-states

Job Description: 
iHorizons
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iHorizons is a leading provider of business solutions and technology services based in Doha, Qatar, operating in the Arab World. The company specializes in facilitating digital transformations for prominent clients including telecom operators like Ooredoo, media organizations like Al Jazeera, and government entities. 

Their services encompass a wide range of solutions such as internet portals, business process automation, cloud computing, and content management systems. iHorizons has a solid track record in enhancing client operations through advanced digital solutions and maintaining a focus on improved customer experiences and operational efficiencies. 

The company also engages in strategic partnerships to enhance its service offerings in areas like cybersecurity and digital design. 

IT outsourcing • web-based content management • managed operations • IT consulting • Arabic language technologies


51 - 200 employees


Founded 1996

📡 Telecommunications

🏛️ Government

📱 Media

Machine Learning Operations Engineer
April 3

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

AWS

Azure

Cloud

Docker

Kubernetes

Python

PyTorch

Tensorflow

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📋 Description
• Responsible for designing, building, and maintaining scalable machine learning pipelines.
• Deploy models to production environments and ensure reliability of ML operations.
• Manage infrastructure and implement CI/CD pipelines, containerization, and monitoring.
• Collaborate with data scientists and optimize performance of ML models.

🎯 Requirements
• Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field.
• 4 years of proven experience as an ML Ops Engineer or similar role in a production environment.
• Experience with Azure cloud platform.
• AWS experience is a plus.
• Experience with containerization technologies (Docker, Kubernetes).
• Experience with API management tools (Kong).

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