ML Ops Engineer

Role: ML Ops Engineer

Location: New Jersey (4 days onsite)

Duration: Contract

8- 10 years of experience required

Platform Reliability & Containerization: Kubernetes, Docker, Microservices, Linux

MLOps & AWS Cloud: Model deployment, versioning, monitoring, AWS (SageMaker, S3,

Lambda, EKS)

CI/CD & GitOps: GitHub Actions, Flux

Monitoring & Observability: Splunk, Grafana, Prometheus, performance tracking

Integration & Collaboration: Python scripting, API integrations, Apache Solr, LLM awareness, teamwork with data scientists & engineers

Thank you

Praveen

Company:

Themesoft Inc.

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)