Senior AI Engineer — Production ML Reliability & Safety

Jobtailor; New Jersey; On-site; USD 140,000 - 210,000; Full time

Job summary

Jobtailor is seeking a senior ML engineer to advance AI model deployment, monitoring, and safety in production. You will build automated evaluation loops, real-time guardrails, and scalable backend infra across cloud and on-prem environments.

Ideal candidates have 4+ years deploying large-scale ML/DL systems, strong Python skills, and hands-on experience with Airflow, Kubeflow, MLflow, Kafka, and Spark. Join a team pushing safe, reliable Generative AI at scale.

Qualifications

• Bachelor's degree or four+ years of work experience.
• Four+ years of relevant experience demonstrated in practice or military.
• Hands-on experience deploying and monitoring ML/DL models in large-scale production.
• Experience with MLOps frameworks and automated pipelines (Airflow, Kubeflow, MLflow).

Responsibilities

• Apply advanced expertise to maintain AI model stability, safety, and efficiency.
• Monitor production model behavior to detect data drift and degradation.
• Implement automated evaluation loops using user feedback.
• Deploy real-time safety filters and guardrails to prevent hallucinations.
• Develop CI/CD pipelines to retrain, validate, and release models.
• Resolve production incidents for live models as senior escalation contact.
• Collaborate with platform architects and data science teams to scale backend infra.

Skills

Machine Learning Deployment

MLOps Frameworks

Python Programming

Cloud Platforms

Safety Guardrails

Education

Bachelor's degree or equivalent

Tools

Airflow

Kubeflow

MLflow

Kafka

Spark

Job description

Jobtailor is seeking a senior ML engineer to advance AI model deployment, monitoring, and safety in production. You will build automated evaluation loops, real-time guardrails, and scalable backend infra across cloud and on-prem environments.

Ideal candidates have 4+ years deploying large-scale ML/DL systems, strong Python skills, and hands-on experience with Airflow, Kubeflow, MLflow, Kafka, and Spark. Join a team pushing safe, reliable Generative AI at scale.