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 AI-driven applications in production environments.
Key Responsibilities
Design, implement, and maintain ML pipelines for training, testing, and deploying AI/ML models.
Manage and optimize cloud-based ML infrastructure (GCP Vertex AI, AWS SageMaker, or equivalent).
Implement CI/CD pipelines for ML and AI-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
5+ years’ experience in DevOps, CloudOps, or ML Ops.
5+ years’ experience with GCP AI/ML services (Vertex AI, AI 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
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.