GCP Solution Architect

Job Description:

As Architect with a focus on Generative AI , you will be responsible for designing, developing, and implementing end-to-end solutions that leverage 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.