AI/ML Ops Engineer: Production Pipelines & Automation

Incrivelsoft; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Incrivelsoft seeks a skilled AI Ops and ML Ops Software Engineer to design, implement, and manage production pipelines for AI/ML models. The role collaborates with data scientists, DevOps, and software engineers to ensure scalable and reliable deployments.

You will build CI/CD for models, monitor drift and performance, automate retraining and deployment, and optimize cloud infrastructure for cost efficiency. Applicants should have 3–5 years in AI/ML Ops and strong scripting and debugging skills.

Qualifications

• 3–5 years software engineering with AI/ML Ops focus.
• Proficient in Python, Java, or Go.
• Hands-on experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn.
• Experience with cloud platforms (AWS, Azure, GCP) and Docker/Kubernetes.
• Familiar with IaC tools such as Terraform or Ansible.
• Experience with data pipelines and orchestration tools (Airflow, Kubeflow, Prefect).
• Knowledge of model monitoring tools (Evidently AI, MLflow, SageMaker Monitor).
• Strong problem-solving and debugging skills.
• Understanding of CI/CD principles and Jenkins/GitHub Actions.

Responsibilities

• Build and manage CI/CD pipelines for deploying AI/ML models to production.
• Design and implement monitoring systems to track model performance, drift, and operational health.
• Automate model retraining, testing, and deployment processes.
• Collaborate with data scientists to ensure seamless integration of models into production systems.
• Optimize infrastructure for scalable and cost-effective machine learning operations.
• Troubleshoot and resolve issues in AI/ML pipelines and deployed systems.
• Implement robust version control and experiment tracking for models and datasets.
• Ensure compliance with security and data privacy regulations in model operations.

Skills

Python

Java

Go

ML deployment

Problem solving

Debugging

CI/CD concepts

Tools

Docker

Kubernetes

Terraform

Ansible

Airflow

Kubeflow

Prefect

MLflow

SageMaker Monitor

Job description

Incrivelsoft seeks a skilled AI Ops and ML Ops Software Engineer to design, implement, and manage production pipelines for AI/ML models. The role collaborates with data scientists, DevOps, and software engineers to ensure scalable and reliable deployments.

You will build CI/CD for models, monitor drift and performance, automate retraining and deployment, and optimize cloud infrastructure for cost efficiency. Applicants should have 3–5 years in AI/ML Ops and strong scripting and debugging skills.