12+only - (no junior resume) - Ai/ML senior engineer - i94 must with resume-onsite in TX -$58/hr

[Shruthi M]

Oct 10th

AIML Devops Engineer

TCS - dallas TX onsite rate at $58/hr dont share mid level any resume . Below is the JD for AIML Devops Engineer: We are seeking a highly skilled AIML DevOps Engineer to join our growing team. You will work closely with DevOps engineers, data scientists, ML engineers, and software developers to build, deploy, and scale machine learning models and Al-driven applications in production environments. Key Responsibilities Design, implement, and maintain ML pipelines for training, testing, and deploying Al/ML models. Manage and optimize cloud-based ML infrastructure (GCP Vertex AI, AWS SageMaker, or equivalent). Implement CI/CD pipelines for ML and Al-driven applications. Monitor, troubleshoot, and optimize model performance and system reliability. Automate workflows for data ingestion, model training, deployment, and monitoring. Collaborate with cross-functional teams to ensure secure, scalable, and compliant ML operations. Apply MLOps best practices for reproducibility, versioning, and governance of ML models. Required Qualifications Ops. 5+ years experience in DevOps, CloudOps, or ML 5+ years experience with GCP AI/ML services (Vertex Al, Al Platform, BigQuery ML) or AWS ML services (SageMaker etc) 5+ years Experience with containerization and orchestration (Docker, Kubernetes). Proficiency in infrastructure-as-code (Terraform, CloudFormation, or Deployment Manager). Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or ArgoCD). Strong programming skills in Python, Bash, or Go, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn). Preferred Certifications (one or more) Google Cloud Professional Machine Learning Engineer Google Cloud Professional Data Engineer AWS Certified Machine Learning - Specialty Certified Kubernetes Admin(CKA) Google Professional Cloud Architect

Shruthi M

Sierra 

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