About the Company

Key Responsibilities: Mus have - NLP & speech to text

About the Role

Design, build, and deploy scalable machine learning solutions using Gemini Enterprise and Google Cloud services. Develop and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle management. Provision and manage cloud infrastructure using Terraform, ensuring automation and compliance.

Deploy and operate ML workloads on Google Kubernetes Engine (GKE) with secure and optimized VPC networking. Collaborate with data scientists, engineers, and business stakeholders to deliver production-ready AI solutions.

Responsibilities

- Design, build, and deploy scalable machine learning solutions using Gemini Enterprise and Google Cloud services.
- Develop and maintain MLOps pipelines for model training, deployment,



monitoring, and lifecycle management.
- Provision and manage cloud infrastructure using Terraform, ensuring automation and compliance.
- Deploy and operate ML workloads on Google Kubernetes Engine (GKE) with secure and optimized VPC networking.
- Collaborate with data scientists, engineers, and business stakeholders to deliver production-ready AI solutions.

Required Skills

- Gemini Enterprise
- Terraform
- Google Kubernetes Engine (GKE)
- Virtual Private Cloud (VPC)
- MLOps
- Machine Learning Engineering
- Google Cloud Platform (GCP)
- Cloud Architecture and Deployment Expertise

📌 Machine Learning Engineer (Canada)
🏢 Atos
📍 Canada