Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Senior Deep Learning Architect, Generative AI Innovation Center.
Singapore Jobs Expertini

Urgent! Senior Deep Learning Architect, Generative AI Innovation Center Job Opening In Singapore, Singapore – Now Hiring Amazon Web Services (AWS)

Senior Deep Learning Architect, Generative AI Innovation Center



Job description

Overview
Senior Deep Learning Architect, Generative AI Innovation Center
Are you looking to work at the forefront of Machine Learning and AI?

Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact?

The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities.

This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale.

The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.


Responsibilities
Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders
Provide customer and market feedback to product and engineering teams to help define product direction
Basic Qualifications
Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
4+ years of hands on experience with Python to build, train, and evaluate models
4+ years of technical client engagement experience
Preferred Qualifications
Masters or PhD degree in computer science, or related technical, math, or scientific field
3+ years experience working with deep learning, machine learning, generative AI, or statistics
Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
Experience building cloud solutions with AWS
Our inclusive culture empowers Amazonians to deliver the best results for our customers.

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.

If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company
Amazon Web Services Singapore Private Limited
Job ID
A
#J-18808-Ljbffr


Required Skill Profession

Other General



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Senior Deep Potential: Insight & Career Growth Guide


  • Real-time Senior Deep Jobs Trends in Singapore, Singapore (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Deep in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 29536 jobs in Singapore and 26168 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Senior Deep roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Senior Deep Learning Architect, Generative AI Innovation Center Job?

    Great news! is currently hiring and seeking a Senior Deep Learning Architect, Generative AI Innovation Center to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Amazon Web Services (AWS) adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying Singapore laws and regulations
  • What Is the Average Salary Range for Senior Deep Learning Architect, Generative AI Innovation Center Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

  • What Are the Key Qualifications for Senior Deep Learning Architect, Generative AI Innovation Center?

    Key qualifications for Senior Deep Learning Architect, Generative AI Innovation Center typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for Senior Deep Learning Architect, Generative AI Innovation Center?

    To improve your chances of getting hired for Senior Deep Learning Architect, Generative AI Innovation Center, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for Senior Deep Learning Architect, Generative AI Innovation Center Job Success
    Amazon Web Services (AWS) interview tips for Senior Deep Learning Architect, Generative AI Innovation Center

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the Amazon Web Services (AWS)'s mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    To prepare for your Senior Deep Learning Architect, Generative AI Innovation Center interview at Amazon Web Services (AWS), research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Amazon Web Services (AWS)'s products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

  • How to Set Up Job Alerts for Senior Deep Learning Architect, Generative AI Innovation Center Positions

    Setting up job alerts for Senior Deep Learning Architect, Generative AI Innovation Center is easy with Singapore Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!