Minimum qualifications: Bachelors degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 5 years of experience in Python and a related machine learning package (e.g., Keras, PyTorch, HF Transformers). Experience in applied AI, with building
Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience in cloud computing or a technical customer-facing role. Experience taking production-grade AI-driven solutions from conception to launch
Minimum qualifications: Associates degree, trade school certification, or equivalent experience in Mechanical Engineering, HVAC, or a related technical field. 4 years of experience operating and maintaining HVAC/mechanical systems in data center or industrial environments. Ability to
Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 5 years of experience with software development using Python or similar coding languages. Experience taking production-grade AI solutions from conception to
Appealing Points: Lead End-to-End MLOps on Vertex AI – Design and implement scalable ML pipelines covering data ingestion, training, deployment, monitoring, and model lifecycle management on Google Cloud. Build Enterprise-Grade AI Platforms – Work with Vertex AI, BigQuery,
Appealing Points: Own Enterprise GCP Infrastructure as Code (IaC) – Design and build reusable Terraform modules and Ansible automation to manage large-scale GCP environments including GKE, IAM, networking, and databases. Drive End-to-End Cloud Automation & CI/CD
Appealing Points: Lead Enterprise GKE Platform Engineering – Design, deploy, and optimize production-grade Google Kubernetes Engine (GKE) environments with a focus on scalability, security, and reliability. Work with Modern Cloud & DevOps Technologies – Utilize GKE,
Appealing Points: Lead Enterprise GCP Cloud Programmes – Own end-to-end delivery of large-scale Google Cloud initiatives, managing technical strategy, execution, and successful go-live across multiple workstreams. Drive Cross-Functional Technical Leadership – Lead cloud engineers, IAM specialists,