Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.
Inviting applications for the role of Senior Principal Consultant - GCP AI Engineer!
In this role, We are seeking an experienced and passionate GCP AI Engineer to join our team and drive innovation through the application of artificial intelligence solutions on the Google Cloud Platform (GCP). The ideal candidate will have a strong understanding of AI principles, cloud computing, and a track record of delivering impactful AI-driven projects.
Responsibilities
1. GCP AI Solutions Development: Design and develop AI solutions using GCP AI services, including Vertex AI, BigQuery ML, and other specialized AI tools.
2. Data Preprocessing and Engineering: Preprocess and engineer large datasets using GCP data tools and techniques to prepare them for AI model training.
3. Model Training and Deployment: Train and deploy AI models on GCP, optimizing model performance and efficiency while ensuring scalability and reliability.
4. Algorithm Selection and Tuning: Select appropriate AI algorithms and hyperparameters for specific business problems, and tune models to achieve optimal performance.
5. Cloud Infrastructure Management: Provision and manage GCP cloud infrastructure, including virtual machines, containers, and storage systems, to support AI workloads.
6. Performance Monitoring and Optimization: Continuously monitor and evaluate AI models in production, identifying and addressing performance bottlenecks and opportunities for optimization.
7. Collaboration and Communication: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver end-to-end AI solutions.
8. Documentation and Knowledge Sharing: Document AI project methodologies, findings, and best practices, and share knowledge with the broader team to foster a culture of innovation.
9. Stay Up-to-Date: Keep abreast of the latest advancements in AI and GCP AI services, attending conferences, workshops, and training programs to enhance skills and knowledge.
10. Hands on experience developing solutions with GCP's ML APIs.
Qualifications we seek in you!
Minimum Qualifications
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