Join Wireframe Solutions as a Senior Machine Learning Ops Engineer to lead the deployment, scaling, and optimization of machine learning models in a fully remote environment. Collaborate with engineering and data teams to ensure robust, efficient MLOps pipelines that drive innovation and reliability.

Wireframe Solutions is seeking a talented Senior Machine Learning Ops Engineer to join our innovative team. In this remote role, you will be responsible for designing, implementing, and maintaining scalable MLOps infrastructure that supports the end-to-end lifecycle of machine learning models. From data ingestion and model training to deployment, monitoring, and retraining, you will ensure seamless integration with our production systems.

You will work closely with data scientists, software engineers, and product managers to optimize workflows, automate processes, and enhance the reliability of AI-driven applications. Key responsibilities include building CI/CD pipelines for ML models, managing containerized environments, and troubleshooting performance issues in distributed systems. This position offers the opportunity to contribute to high-impact projects in AI, leveraging the latest cloud technologies to deliver value to our clients.

If you are passionate about the intersection of machine learning and operations, and thrive in a dynamic, remote work culture, we encourage you to apply and help shape the future of our AI capabilities at Wireframe Solutions.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• 5+ years of experience in MLOps, DevOps, or site reliability engineering, with a focus on machine learning workflows
• Proficiency in cloud platforms such as AWS, GCP, or Azure, including services like SageMaker, Vertex AI, or Kubernetes
• Strong knowledge of CI/CD pipelines, containerization (Docker), and orchestration tools (Kubernetes, Airflow)
• Experience with ML frameworks like TensorFlow, PyTorch, and model serving tools (TensorFlow Serving, Triton)
• Expertise in infrastructure as code (Terraform, CloudFormation) and monitoring tools (Prometheus, Grafana)
• Familiarity with version control systems (Git) and agile methodologies
• Excellent problem-solving skills and ability to work independently in a remote setting

• Competitive monthly salary with performance bonuses
• Fully remote work flexibility with comprehensive home office stipend
• Health, dental, and vision insurance coverage
• Generous paid time off, including vacation and sick days
• Professional development opportunities, including conferences and certifications
• Collaborative team environment with regular virtual team-building events
• Access to cutting-edge tools and technologies in AI and cloud computing