דרושים Sr Specialist Sa Genai/ml Menat Emea Data Ai Solutions Architecture ב-אמזון ב-United Arab Emirates

*Travel required approximately every 3 weeks or 20-25% of the time.Key job responsibilities
- Develop comprehensive technical strategies for EV charging controller systems and related product development
- Define and implement connectivity standards for charging infrastructure
- Conduct in-depth analysis of existing charging system architectures to identify performance improvement opportunities- Design technical documentation and present complex architectural solutions to senior managementA day in the life
Your day will be a dynamic blend of technical exploration and collaborative problem-solving. You'll dive deep into hardware specifications, test communication protocols, engage with cross-functional teams, and develop strategic technical roadmaps that drive our EV charging infrastructure forward.

- Experience with Industrial control systems, both hardware and software
- Experience with power management and power monitoring systems
- Experience managing 3P product development
- Experience developing and managing cellular productsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We’re looking for Data Scientists to use generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.As an early-in-career joiner, you will initially join our A2C (Associate to Consultant) program for intensive training on AWS technology and delivery approach.Emirati nationality is required.
Key job responsibilities
As a Data Scientist, you willDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- PhD or Master's degree or equivalent experience
- Experience building a range of AI/ML models
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning

Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet
- Prior experience in training and fine-tuning of Large Language Models (LLMs)
- Knowledge of AWS platform and tools

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. You’ll 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.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Experience developing software code in one or more programming languages (java, python, etc.)
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)

- AWS Experience preferred, with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training

In collaboration with sales, you will drive revenue growth across a set of digital native customers. As a trusted customer advocate, the solutions architect will help organizations understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build a mindshare and broad use of AWS.Key job responsibilitiesA day in the life
- In this role, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge and make a big impact.
- You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions.
- You will regularly take part in deep-dive education and design exercises to create world-class solutions built on AWS.About the team
About AWS
Diverse Experiences
AWS 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 2-5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
- Experience working with end user or developer communities

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Automating real-world production environments with Infrastructure-as-Code (IaC) tools like CloudFormation, CDK, or Terraform, containerization & orchestration (Docker, Kubernetes) and cloud container services (EKS, ECS, Fargate), IP networking, VPNs, DNS, load balancing, and firewalls.
- Continuous integration/delivery (CI/CD) and corresponding tools (i.e such as AWS Code-family, ArgoCD, Jenkins, Bamboo, TeamCity, GitHub actions, etc...), Linux and/or Windows-based systems administration.
- Software development proficiency in at least one scripting / programming language (i.e. Typescript / Python / Java / C++ / Go), with practical experience in automating tasks, building scripts, and solving problems.
- Proven track record of successful implementation of DevOps practices and culture (think observability, code reviews, source control management, building feedback loops, removing organization silos…).
- Basic understanding of Machine Learning concepts related to model training, deployment, inference, MLOps, etc.

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
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. You’ll 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.Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 10+ years of experience as a technical specialist in Customer-facing roles
- Experience driving discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation
- Experience in Delivering IT Strategy & Consulting services, and hands-on experience leading the design, development and deployment of business software at scale or current hands on technology infrastructure, network, compute, storage, and virtualization experience
- Experience with automation, scripting (e.g., Terraform, Python) and application migration and modernization
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.

Key job responsibilities
In a typical day, as a Support Engineer, you will:
• Trace Seller specific defects across upstream systems and data lake to detect, investigate, and fix the root causes (e.g., algorithmic bottlenecks, data quality issues, software flaws).
• Develop the tools for the efficient Seller coaching.
• Assess the health and compliance of Seller-facing and internal web portals used to resolve Seller escalations.
• Troubleshoot, diagnose, reproduce (if needed), and fix operational issues in analytics pipelines.
• Automate standardized processes using Python scripts.
• Provide ad-hoc data using SQL for faster seller escalation case resolution or proactive insights sharing.
• Apply case management tools to manage and prioritize issues based on multiple factors, including Seller impact.
• Develop visual SX monitoring solutions with alerts (e.g., in Amazon QuickSight).
• Architect tech solutions on AWS to support standardized processes or feed internal systems.
• Conduct regular assessments and document technical artifacts created by BIEs to ensure compliance and error-free execution.
• Proactively seek solutions to Seller needs, communicate trends to leadership, and suggest innovative tech solutions to make a step change in SX.
• Drive internal projects that improve support-related processes and FBA programs’ SX.
• Build and contribute to tech training materials and documentation.

- • Bachelor's degree in computer science or a related quantitative field
- • 5+ years of hands-on experience in technical support, data engineering, business analytics, or related field
- • 5+ years of experience working with and extracting data from relational databases (SQL)
- • 3+ years of experience troubleshooting and debugging technical systems
- • Experience scripting in modern programming languages (Python)
- • Experience in agile/scrum or a similar collaborative workflow
- • Demonstrated skills and passion for operational excellence
- • ADAPTABLE: You willingly undertake a variety of tasks, switching from complex to routine tasks as needed. You quickly adapt to new technologies and products and work effectively with a variety of personalities and work styles.
- • BIG PICTURE: You solve problems at their root by stepping back to understand the broader context.
- • PROACTIVE: You demonstrate energy and initiative in solving problems, exploring all possible avenues to get the job done.