דרושים Data Engineer Aws Marketplace ב-אמזון ב-China, Beijing

Key job responsibilities
As a Senior Software Development Engineer, you will engage with an experienced cross-disciplinary staff to conceive and design innovative consumer products. You must be responsive, flexible and able to succeed within an open collaborative peer environment. You will work closely with the hardware, ODM, and QA teams to take the product from concept to customer release and ensure the highest level of quality for your deliverables. Have in-depth expertise working with the Linux kernel, BSP, drivers or even service development for consumer devices. In this role, you will:
• Work with product management and cross functional teams to provide technical solutions for desired user experiences and features.
• Dive deep and provide solutions for complex issues.
• Collaborate with cross-functional teams to integrate and optimize functionalities within BSPs.
• Drive the team to adopt engineering best practices.
• Participate in the development of technology strategies and roadmaps, and guide the team in making technology decisions.
• Are comfortable with proactive outward communication and technical leadership and never shy away from a challenge
• Lead or mentor other software developers to maintain architectural vision.

- Bachelor’s degree in Computer Science, Computer Engineering or equivalent.
- 8+ years relevant work experience in embedded Software.
- Professional experience in consumer device software development. Proficiency in in Linux kernel or driver development with C/C++ and multiple SOC platforms, including 5+ years working experience in Linux BSP development.
- Be able to drive software architecture design and system optimization in complex software system.
- Strong communication skills and the ability to present complex technical concepts effectively.

- Strong domain expertise in Linux audio system, driver, HAL, ALSA, Android audio sub-system design and implementation.
- Experience with multimedia frameworks (e.g., GStreamer, FFmpeg) and hardware-accelerated audio codecs is a plus.
- Strong domain expertise in embedded software security and code/data protection is a plus.
- Experience in Linux Yocto will be a plus.

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 self-supervised learning.
-Conduct research and stay up-to-date 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 large-scale 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.
5. Collaboration and Knowledge Sharing:-Contribute to the firm's thought leadership by presenting at conferences, and participating in industry events.About the team
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

- Master's 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 non-technical 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 problem-solving, analytical, and critical thinking skills.
- Strong communication, collaboration, and leadership skills.

Key job responsibilities
Your superior communication, organizational and technical skills will enable you to operate in a fast-moving and sometimes ambiguous environment, where you will have the autonomy to take full control and responsibility for achieving our business objectives.- Partner/Channel development and management .

- Bachelor's degree or equivalent, or 3+ years of sales or marketing work (like e-commerce, retail technology, SaaS) or equivalent experience

- 2+ years of inside sales experience
- Knowledge of procurement and source to pay methods at small and medium businesses
- Experience influencing at all levels within an organization, particularly at the executive level
- Experience exceeding sales targets using a consultative, solutions-focused approach or equivalent

You will learn all about how to design, implement and test highly scalable solutions using AWS cloud platform and its many products, in challenging agile projects, working with best-in-class professionals.

- Past experience in being a technical leader and have previous track record in delivering large scale solutions in a very ambiguous environment
- Ability to understand and evaluate critical applications from end-to-end and evaluate high level and low-level design
- Experience mentoring and training the engineering community on complex technical issues
- Active contributor on teams technical strategy and account for technical tradeoffs that can impact existing applications as well as other applications within Amazon
- 8+ years of software development experience
- Proficiency in at least one of the following programming languages: C, C++, C#, Java, Python, Golang, Kotlin, JavaScript, Clojure.
- System Design experience with event-driven and microservices architecture
- Proficiency in spoken and written English

- Experience building complex software systems that have been successfully delivered to customers
- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet timelines with optimal solutions
- A high degree of pragmatism in building the simplest thing that does the job; we want to use technology to solve real-world problems expediently, not indulge in over-designed, unnecessarily intricate software architecture.
- A good understanding of Software Development Life-cycle models and a track record of shipping software efficiently. You recognize the difference between building software and shipping software
- A strong track record of large and cross-functional project deliveries.
- Sharp analytical abilities and proven system design skills
- Bachelor’s degree in Computer Science, Computer Engineering or a related technical discipline OR Master’s degree in computer science, Math or Physics or related field

Key job responsibilities• Facilitate Working Backwards workshops with customer executive groups. Lead and coordinate translation of those solutions into working cloud prototypes, working with relevant engineering and services teams, and partners where appropriate.
• Build value propositions/ business cases. Train & enable local sales teams to help qualify customers, and – in some cases – lead elements of the digital innovation engagement. Effectively track and articulate the value of engagements underway, and major wins.
• Share knowledge effectively across the WW team. Help develop and improve the Innovation & Transformation engagement model based on engagement experience. Work with the Partner team to identify, engage and enable partners who can accelerate our approach to digital innovation and transformation.
• Conduct customer briefings, present at customer events, further AWS solutions-led thought leadership in the innovation domain.About the team
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.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

- 3+ years of business development, partnership management, or sourcing new business experience
- Bachelor's degree or equivalent
- Experience using data and metrics to determine and drive improvements

- Experience in online advertising or high-tech products/services

Key job responsibilities

- Bachelor's degree or equivalent
- 3+ years of non-internship professional software development experience
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

- Master's degree in computer science or equivalent
- 4+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

Key job responsibilities
- Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges in the international seller services domain.
- Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.- Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-related systems.

- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals