About the job
Job Description
We are seeking a Senior MLOps Engineer with extensive experience in developing and sustaining machine learning infrastructure and deployment workflows. This position demands a high level of expertise in cloud-based machine learning services, automation processes, and comprehensive model lifecycle management.
Location: Plano, TX – Onsite
Duration: Long Term
Work Authorization: W2 Only
Technical Skills Required:
- Proficient programming skills in Python and SQL
- Experience with machine learning frameworks including:
- TensorFlow
- PyTorch
- Scikit-learn
- Familiarity with cloud machine learning platforms such as:
- Azure ML
- AWS SageMaker
- GCP Vertex AI
- Expertise in containerization and orchestration technologies:
- Docker
- Kubernetes
- Knowledge of CI/CD pipeline tools:
- GitHub Actions
- Azure DevOps
- Jenkins
- GitLab CI
- Competence in observability and monitoring tools:
- Prometheus
- Grafana
- MLflow
- Evidently AI
Preferred Background:
- Preferred candidates from Tier 1 universities
- Experience with Deloitte or KPMG is advantageous

