Generative AI Architect with GCP

4 weeks ago

Mountain View, United States SRI Tech Solutions Inc. Full time
  1. Core ML, MLOPs, Cloud Ops, Cloud Topologies & Data Systems, Numerical Programming Frameworks (e.g., TensorFlow, Python, MATLAB)
  2. Understanding of Google Platforms such as Vertex.AI, Duet, GKE, GCE, SPARK, etc.
  3. API Development, Scripting, Data Systems Integration and Data Application Development / Architecture
  4. Data Centers and Data Center Architecture
  5. Experience architecting and developing software or infrastructure for scalable, distributed systems
  6. Experience in virtualization or cloud native architectures
  7. Experience building machine learning solutions and leveraging specific machine learning architectures in Cloud Context / Distributed Systems Context (e.g., deep learning, LSTM, convolutional networks)
  8. Engineering degree in Data Sciences or Information Technology / Information Management


Job Description:

As a Full Stack Engineer with a focus on Generative AI within PSO, you will be responsible for designing, developing, and implementing end-to-end solutions that leverage Gocloud 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.

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