1.54M jobs liveBrowse

Senior Machine Learning Ops Engineer at Ensign Infosecurity (Cybersecurity) Pte Ltd · Katori

Asks for

The ad says“- Strong software/platform engineering fundamentals, including system design, API design, distributed systems, scalability, reliability, observability, authentication/authorization, testing, and maintainable code design.”
The ad says“- Strong software/platform engineering fundamentals, including system design, API design, distributed systems, scalability, reliability, observability, authentication/authorization, testing, and maintainable code design.”
The ad says“- Experience building CI/CD, automation, and MLOps / LLMOps workflows for production ML / LLM systems.”
The ad says“- Experience designing, deploying, and operating production platforms on AWS, Azure, GCP, or on-premise environments.”
The ad says“- Experience designing, deploying, and operating production platforms on AWS, Azure, GCP, or on-premise environments.”
The ad says“- Strong development experience in Python, with working proficiency in Go and C++ for reading, debugging, maintaining, and extending existing production codebases.”
The ad says“- Experience building CI/CD, automation, and MLOps / LLMOps workflows for production ML / LLM systems.”
The ad says“- Practical understanding of the ML / LLM lifecycle, including data pipelines, model training/retraining, evaluation, experiment tracking, deployment, monitoring, and production feedback loops.”
The ad says“- Strong software/platform engineering fundamentals, including system design, API design, distributed systems, scalability, reliability, observability, authentication/authorization, testing, and maintainable code design.”
The ad says“- Practical understanding of the ML / LLM lifecycle, including data pipelines, model training/retraining, evaluation, experiment tracking, deployment, monitoring, and production feedback loops.”
The ad says“- Practical understanding of the ML / LLM lifecycle, including data pipelines, model training/retraining, evaluation, experiment tracking, deployment, monitoring, and production feedback loops.”
The ad says“- Experience designing, deploying, and operating production platforms on AWS, Azure, GCP, or on-premise environments.”
The ad says“- Strong development experience in Python, with working proficiency in Go and C++ for reading, debugging, maintaining, and extending existing production codebases.”
The ad says“- Strong Linux, networking, and Kubernetes fundamentals, including production troubleshooting, service connectivity, ingress, resource limits, workload debugging, and deployment operations.”
The ad says“- Strong Linux, networking, and Kubernetes fundamentals, including production troubleshooting, service connectivity, ingress, resource limits, workload debugging, and deployment operations.”
The ad says“- Experience building CI/CD, automation, and MLOps / LLMOps workflows for production ML / LLM systems.”
The ad says“- Practical understanding of the ML / LLM lifecycle, including data pipelines, model training/retraining, evaluation, experiment tracking, deployment, monitoring, and production feedback loops.”
The ad says“- Experience building CI/CD, automation, and MLOps / LLMOps workflows for production ML / LLM systems.”
The ad says“- Practical understanding of the ML / LLM lifecycle, including data pipelines, model training/retraining, evaluation, experiment tracking, deployment, monitoring, and production feedback loops.”
The ad says“- Strong Linux, networking, and Kubernetes fundamentals, including production troubleshooting, service connectivity, ingress, resource limits, workload debugging, and deployment operations.”
The ad says“- Strong software/platform engineering fundamentals, including system design, API design, distributed systems, scalability, reliability, observability, authentication/authorization, testing, and maintainable code design.”
The ad says“- Strong development experience in Python, with working proficiency in Go and C++ for reading, debugging, maintaining, and extending existing production codebases.”
The ad says“- Strong software/platform engineering fundamentals, including system design, API design, distributed systems, scalability, reliability, observability, authentication/authorization, testing, and maintainable code design.”
The ad says“- Strong software/platform engineering fundamentals, including system design, API design, distributed systems, scalability, reliability, observability, authentication/authorization, testing, and maintainable code design.”
The ad says“- Strong software/platform engineering fundamentals, including system design, API design, distributed systems, scalability, reliability, observability, authentication/authorization, testing, and maintainable code design.”
The ad says“- Strong software/platform engineering fundamentals, including system design, API design, distributed systems, scalability, reliability, observability, authentication/authorization, testing, and maintainable code design.”

Asks for

Values