Newton Vision Co.
51 - 200 employees
Founded 2008
💼 Consulting
🤖 Artificial Intelligence
🏢 Enterprise
Consulting • Artificial Intelligence • Enterprise
Newton Vision Co. is a nearshore software delivery and consulting firm that uses AI-enhanced processes to accelerate enterprise software delivery, reduce cost, and ensure governance. They operate a nearshore Center of Excellence anchored in Bogotá combined with a U. S. -based strategic team, and deliver outcome-focused engagements using proprietary frameworks such as FutureX™ (an AI-Enhanced Process Development Cycle) and Baseline Insights™. AI is embedded across requirements, documentation, QA, release, and governance; services emphasize platform modernization, process improvement, controlled migrations, and establishing COEs to scale AI and delivery practices with human accountability and stage-gated approvals.
MLOps Engineer, Python, Cloud
Job not on LinkedIn
🔥 15 minutes ago
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Newton Vision Co.
51 - 200 employees
Founded 2008
💼 Consulting
🤖 Artificial Intelligence
🏢 Enterprise
Consulting • Artificial Intelligence • Enterprise
Newton Vision Co. is a nearshore software delivery and consulting firm that uses AI-enhanced processes to accelerate enterprise software delivery, reduce cost, and ensure governance. They operate a nearshore Center of Excellence anchored in Bogotá combined with a U. S. -based strategic team, and deliver outcome-focused engagements using proprietary frameworks such as FutureX™ (an AI-Enhanced Process Development Cycle) and Baseline Insights™. AI is embedded across requirements, documentation, QA, release, and governance; services emphasize platform modernization, process improvement, controlled migrations, and establishing COEs to scale AI and delivery practices with human accountability and stage-gated approvals.
📋 Description
• Build and maintain workflows for model deployment, versioning, and monitoring • Automate machine learning processes using CI/CD practices • Collaborate with data scientists and engineers to move models from experimentation to production • Monitor model performance and troubleshoot issues with production workflows • Document processes and improve the reliability of the ML infrastructure
🎯 Requirements
• Hands-on experience deploying or maintaining machine learning models in production • Strong Python skills • Experience with CI/CD, Git, and containerization using Docker • Experience with at least one cloud platform: AWS, Azure, or GCP • Familiarity with model tracking, versioning, and monitoring practices • Experience with MLflow, Vertex AI, SageMaker, or a comparable platform (nice to have) • Experience with Kubernetes or automated model retraining (nice to have) • Experience supporting LLM applications in production (nice to have)
🏖️ Benefits
• Remote work arrangement
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