remote
GCP Practice Architect II - AI/ML - TEKsystems
Software Engineer
Lead AI/ML cloud solutions on GCP, designing scalable architectures, guiding teams, and driving data‑centric innovation for enterprise clients.
About the role
Key Responsibilities
- Architect and deliver end‑to‑end AI/ML solutions on Google Cloud Platform, ensuring scalability, security, and performance.
- Collaborate with cross‑functional teams to translate business requirements into technical designs and prototypes.
- Mentor and coach engineers on best practices in ML Ops, data pipelines, and cloud-native deployment.
- Evaluate and recommend GCP services (Vertex AI, BigQuery, Dataflow) and third‑party tools to optimize solution delivery.
- Lead technical workshops, demos, and proof‑of‑concepts for stakeholders and clients.
Requirements
- 5+ years of experience in cloud architecture with a focus on AI/ML workloads.
- Proficiency in Python, TensorFlow/PyTorch, and GCP services such as Vertex AI, BigQuery, and Cloud Storage.
- Strong understanding of data engineering, ETL pipelines, and Kubernetes for model deployment.
- Excellent communication skills and ability to translate complex technical concepts to non‑technical audiences.
- Experience with CI/CD, monitoring, and security best practices in a cloud environment.