GCP AI Developer

Quick Facts

• Role: GCP AI Developer

Description

You will turn AI/ML and generative AI concepts into production-ready solutions on Google Cloud Platform. The role includes designing, building, and deploying intelligent applications in collaboration with data architects, data scientists, and business stakeholders to deliver measurable business value.

Responsibilities

• Develop and deploy AI/ML models and generative AI solutions using GCP-native services such as Vertex AI, BigQuery ML, Document AI, and Gemini API

• Build and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, evaluation, and serving

• Ensure production standards for scalability, monitoring, and responsible AI practices

• Stay current with GCP AI innovations and emerging industry trends to improve development practices

Requirements

• Proven experience building and deploying AI/ML models on Google Cloud Platform (GCP)

• Hands-on expertise with Vertex AI and related GCP AI services

• Strong understanding of machine learning frameworks: TensorFlow, PyTorch, or JAX

• MLOps experience including model versioning, monitoring, and retraining strategies

• C1-level English proficiency and ability to communicate effectively with both business and technical stakeholders

• GCP Professional Certification

• Python proficiency for production-grade code, including REST APIs and microservices

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field

Benefits

• Hybrid working model with home office package (laptop, monitor, chair) after onboarding

• Medical care and private life insurance

• Access to training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management)

• Continuous feedback and performance discussions via GetSuccess

• Well-being support resources such as medical support, a helpline, and educational podcast content