Senior Tech Lead - GCP AI (Gemini)

About the Client Company is a global leader in digital transformation, cybersecurity, cloud, and high-performance computing. Headquartered in France, Company serves clients across diverse industries with innovative solutions that drive business agility and operational excellence. With a strong commitment to sustainability and cutting-edge technology, Company supports organizations in their digital journeys through consulting, systems integration, and managed services. The company's expertise spans artificial intelligence, data analytics, and IoT, helping clients achieve secure and efficient digital operations worldwide. Company is recognized for its focus on decarbonization and delivering trusted, secure digital services. Job Description Responsibilities: Lead the development and implementation of AI-driven solutions using GCP services and Gemini technologies. Collaborate with stakeholders to understand business requirements and translate them into scalable, secure technical solutions. Design and optimize AI architectures for performance, reliability, and cost-effectiveness. Establish best practices for AI model development, deployment, and monitoring. Ensure compliance with ethical AI principles, data governance, and security standards. Provide technical leadership and mentorship to cross-functional teams, including data scientists and engineers. Stay updated with emerging trends in AI and cloud technologies, particularly within the GCP ecosystem. Troubleshoot and resolve complex technical issues related to AI systems. Document architectural designs, technical decisions, and best practices for future reference. Eligibility Criteria: Bachelor's or master's degree in computer science, Data Science, or a related field. Extensive experience with GCP AI services and Gemini technologies. Strong understanding of AI architecture, machine learning, and optimization techniques. Proficiency in programming languages such as Python, Java, or similar. Experience with cloud-based AI solutions and MLOps practices is a plus. Familiarity with ethical AI principles and frameworks. Knowledge of data governance, compliance standards, and security protocols. Excellent problem-solving and analytical skills. Proven leadership and team management abilities. Ability to work in a fast-paced environment and manage multiple priorities.