Data Scientist, Professional Services Israel

AWS Global Services includes experts from across AWS who help our customers design build operate and secure their cloud environments. Customers innovate with AWS Professional Services upskill with AWS Training and Certification optimize with AWS Support and Managed Services and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners AWS Sovereign Cloud AWS International Product and the Generative AI Innovation Center. Youll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

The Amazon Web Services Professional Services team is looking for a Data Scientist this role plays a crucial role in delivering the generative artificial intelligence (GenAI) solutions for our clients. This position requires a deep understanding of machine learning natural language processing and generative models combined with problemsolving skills and a passion for innovation.

Possessing a deep understanding of AWS products and services as a Delivery Consultant you will be proficient in architecting
complex scalable and secure solutions tailored to meet the specific needs of each customer. Youll work closely with stakeholders
to gather requirements assess current infrastructure and propose effective migration strategies to AWS. As trusted advisors to our
customers providing guidance on industry trends emerging technologies and innovative solutions you will be responsible for
leading the implementation process ensuring adherence to best practices optimizing performance and managing risks throughout
the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes
when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise
cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific
outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices which
cover a variety of solutions technologies and industries.

Key job responsibilities
1. Generative AI Model Development:
Design and develop generative AI models including language models image generation models and multimodal models.
Explore and implement advanced techniques in areas such as transformer architectures attention mechanisms and selfsupervised learning.
Conduct research and stay uptodate with the latest advancements in the field of generative AI.

2. Data Acquisition and Preprocessing:
Identify and acquire relevant data sources for training generative AI models.
Develop robust data preprocessing pipelines ensuring data quality cleanliness and compliance with ethical and regulatory standards.
Implement techniques for data augmentation denoising and domain adaptation to enhance model performance.

3. Model Training and Optimization:
Design and implement efficient training pipelines for largescale generative AI models.
Leverage distributed computing resources such as GPUs and cloud platforms for efficient model training.
Optimize model architectures hyperparameters and training strategies to achieve superior performance and generalization.

4. Model Evaluation and Deployment:
Develop comprehensive evaluation metrics and frameworks to assess the performance safety and bias of generative AI models.
Collaborate with crossfunctional teams to ensure the successful deployment and integration of generative AI models into client solutions.

5. Collaboration and Knowledge Sharing:
Collaborate with data engineers software engineers and subject matter experts to develop innovative solutions leveraging generative AI.
Contribute to the firms thought leadership by presenting at conferences and participating in industry events.

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.

Inclusive Team Culture
AWS values curiosity and connection. Our employeeled and companysponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.


Masters or Ph.D. degree in Computer Science Machine Learning Artificial Intelligence or a related quantitative field.
4 years of experience in developing and deploying machine learning models with a strong focus on generative AI techniques.
Proficiency in programming languages such as Python PyTorch or TensorFlow and experience with deep learning frameworks.
Strong background in natural language processing computer vision or multimodal learning.
Ability to communicate technical concepts to both technical and nontechnical audiences.

Experience with large language models such as Claude GPT BERT or T5.
Familiarity with reinforcement learning techniques and their applications in generative AI.
Understanding of ethical AI principles bias mitigation techniques and responsible AI practices.
Experience with cloud computing platforms (e.g. AWS GCP Azure) and distributed computing frameworks (e.g. Apache Spark Dask).
Strong problemsolving analytical and critical thinking skills.

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 youre applying in isnt listed please contact your Recruiting Partner.