Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Amazon Web Services
Artificial Intelligence
Cloud Computing
Collaboration
Computer Science
Continuous Delivery
Continuous Integration
Data Engineering
Data Governance
DevOps
Docker
GitHub
Good Clinical Practice
Google Cloud Platform
Grafana
Jenkins
Kubernetes
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Microsoft Azure
Orchestration
PyTorch
Python
Regulatory Compliance
Scalability
TensorFlow
Testing
Training
Workflow
Job Details
Job Title: AI/ML Ops Engineer
Remote (EST timezone only )
Job Summary:
We re looking for a skilled AI/ML Ops Engineer to bridge the gap between machine learning development and scalable, reliable production systems. You ll be responsible for building and maintaining the infrastructure that enables rapid experimentation, deployment, and monitoring of ML models in real-world environments.
Key Responsibilities:
Design and implement CI/CD pipelines for ML models.
Automate model training, testing, deployment, and monitoring workflows.
Collaborate with data scientists to productionize ML models.
Manage model versioning, reproducibility, and rollback strategies.
Ensure scalability, security, and compliance of ML systems.
Monitor model performance and data drift in production.
Optimize infrastructure for cost and performance.
Required Qualifications:
8-10+ years of experience in DevOps, MLOps, or ML Engineering.
Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch).
Experience with containerization (Docker) and orchestration (Kubernetes).
Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform).
Strong understanding of CI/CD tools (e.g., GitHub Actions, Jenkins).
Knowledge of monitoring tools (e.g., Prometheus, Grafana).
Preferred Qualifications:
Experience with feature stores and model registries (e.g., MLflow, Feast).
Understanding of data governance and responsible AI practices.
Bachelor s or Master s in Computer Science, Data Engineering, or related field.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.