Senior Generative AI Developer - Google Cloud Platform (44743)

Description

Our team and what we’ll accomplish together 

Our TELUS Business Solutions Marketing Analytics team is driven by the mission to leverage data for creating impactful business solutions. We love transforming data into meaningful stories—stories about opportunities missed, success stories showcasing our products and services, and most importantly, stories about our customers and how we can enhance their experience.

Join us if you have a passion for AI, data, analytics, and marketing, and if you have the courage to innovate, embrace change, and thrive in spirited teamwork. You'll be part of a dynamic group supporting stakeholders across various teams, driving positive business outcomes through data-driven insights.

What you’ll do

We are seeking a highly skilled and experienced Senior Generative AI Developer with deep expertise in Google Cloud Platform (GCP), particularly in Google Gemini and Google’s Generative AI tools. As a key contributor, you will be responsible for architecting, developing, and deploying advanced AI/ML solutions using GCP services. You will collaborate with cross-functional teams to design and implement scalable, end-to-end AI models that solve real-world business challenges.

• Design, develop, and deploy end-to-end AI/ML models using GCP services


• Leverage Google Gemini and other Google Generative AI tools (Vertex AI, AutoML, BERT, T5) to build cutting-edge generative AI models


• Integrate AI solutions into production environments, ensuring scalability, security, and performance


• Lead projects involving Natural Language Processing (NLP), churn propensity, and large language models


• Collaborate with data engineers, data scientists, and  to optimize model performance and streamline workflows


• Stay updated with the latest advancements in Google’s AI tools and provide strategic insights for their adoption


• Mentor junior team members and guide them in best practices for AI/ML development

Qualifications

Technical Skills:

• Generative AI Expertise: In-depth experience with Google Gemini, BERT, T5, and other Google’s state-of-the-art models.


• Google Cloud Platform: Proficiency in key GCP services, including but not limited to:
  
  
  
  • Vertex AI: End-to-end machine learning lifecycle management.
  
  
  • BigQuery ML: Building ML models using SQL in BigQuery.
  
  
  • Dataflow & Dataproc: Data processing and pipeline orchestration.
  
  
  
  


• Model Deployment: Strong experience in deploying models using GCP services.


• AI/ML Model Building: Demonstrated ability to build, train, fine-tune, and deploy Churn Predictive and Generative AI models

Soft Skills:

• Leadership: Proven experience in leading AI/ML projects and mentoring teams


• Problem-solving: Strong analytical and critical thinking skills to solve complex AI challenges


• Communication: Ability to convey complex technical concepts to non-technical stakeholders


• Collaboration: Experience working in cross-functional teams involving Data Engineers, Software Developers, and Product Managers

Certifications:

• GCP certifications such as Professional Machine Learning Engineer, Professional Data Engineer, or Associate Cloud Engineer

Preferred Qualifications:

• Education:
  
  
  
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related field is required.
  
  
  • Master’s degree or Ph.D. in a relevant field is preferred.
  
  
  
  


• Years of Experience:
  
  
  
  • 8+ years of professional experience in AI/ML development.
  
  
  • 2+ years of hands-on experience working with GCP, including AI/ML services like Vertex AI, AutoML, and Google Gemini.
  
  
  
  


• Experience with AI Ethics and Responsible AI practices

Familiarity with Generative AI for telecom domains.