Mid-Level ML Ops/Dev Ops Engineer

About the job

As a Mid-Level ML Ops/Dev Ops Engineer at Cerence Inc., you will play a crucial role in building and maintaining ML Ops pipelines, deploying speech and language models, and ensuring reliable production performance. Your expertise in Python programming will be essential in operationalizing AI models at scale. Additionally, you will be responsible for maintaining and improving DevOps and automation pipelines. Key Responsibilities: - Build and manage ML Ops workflows for model training, deployment, and monitoring. - Support and maintain CICD setup, DevOps activities, and automation pipelines. - Automate ML lifecycle tasks including data preparation, training, evaluation, and deployment. - Ensure model reproducibility, versioning, and monitoring. Qualifications Required: - 5-8 years of experience in ML Ops / ML Engineering. - Proficiency in Python programming. - Hands-on experience with CI/CD for DevOps, ML, model deployment, and monitoring. Preferred Qualifications: - Experience in an AI-focused company. - Proficiency in Python scripting for automation. Tech Stack (Preferred): - Jenkins - Ansible - Docker - Kubernetes - Pytorch - MLflow - Kubeflow - Airflow