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GCP Engineer with GenAI experience
1 month ago
Job Description:
As a Full Stack Engineer with a focus on Generative AI within Google's PSO, you will be responsible for designing, developing, and implementing end-to-end solutions that leverage Google's cloud infrastructure. You will work on diverse projects, from developing user-friendly front-end applications to implementing complex back-end systems and AI models.
Key Responsibilities:
- Generative AI Development
- Design, train, and deploy Generative AI models using state-of-the-art techniques.
- Implement AI-driven features into our clients' products and services.
- Collaborate with data scientists and AI researchers to integrate AI solutions seamlessly.
-Full Stack Development
- Develop and maintain scalable web applications using modern front-end and back-end technologies.
- Ensure high performance, responsiveness, and quality of applications.
- Write clean, maintainable, and efficient code.
- Google Cloud Integration
- Leverage Google Cloud Platform (GCP) services for deploying and scaling applications.
- Utilize GCP tools for machine learning, data storage, and application management.
- Technical Leadership
- Provide technical guidance and mentorship to junior engineers.
- Lead code reviews and ensure adherence to best practices and standards.
- Collaborate with cross-functional teams to define and implement technical strategies.
- Innovation and Strategy
- Stay updated with the latest advancements in Generative AI and Full Stack development.
- Contribute to the strategic direction of the organization by identifying new opportunities for AI-driven innovation.
- Assist in shaping the technological roadmap, aligning it with business goals.
Expected Experience**:
- Proven experience as a Full Stack Engineer with a strong portfolio of projects.
- Extensive experience in developing and deploying Generative AI models.
- Solid understanding of Google Cloud Platform and its services.
- **Technical Skills**:
- Proficiency in front-end technologies (HTML, CSS, JavaScript, React, Angular, etc.).
- Strong back-end development skills (Node.js, Python, Java, etc.).
- Experience with databases (SQL, NoSQL) and cloud-based storage solutions.
- Expertise in machine learning frameworks (TensorFlow, PyTorch, etc.).
- Familiarity with CI/CD pipelines and DevOps practices.
- **Soft Skills**:
- Excellent problem-solving abilities and attention to detail.
- Strong communication and collaboration skills.
- Leadership qualities and a passion for mentoring and guiding team members.