MLOps Engineer - MLEAS
NavitasPartners
Job Title: MLOps Engineer
Position Overview:
The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models.
Key Responsibilities:
- Build ML deployment pipelines.
- Implement CI/CD for machine learning workloads.
- Automate model retraining and validation.
- Establish model monitoring and observability.
- Manage ML infrastructure and environments.
- Ensure compliance and governance requirements.
Required Skills:
- MLOps
- MLflow
- Kubeflow
- Docker
- Kubernetes
- Python
- GitHub Actions
- Azure DevOps
- Terraform
- Monitoring Tools
Required Qualifications:
- Bachelor's degree in Computer Science or related field.
- 5+ years of MLOps or ML Engineering experience.
Mandatory Industry Experience:
- Must have prior BFSI experience supporting regulated AI/ML environments, model governance, risk management, fraud analytics, or financial decisioning systems.
For more details reach at View email address on navitasp.talentnest.com
Vacancy posted 15 hours ago
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