דרושים Head Global Standards Compliance Gsc Base Building & ב-אמזון ב-Luxembourg, Luxembourg

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvementsA day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.

- Bachelor’s degree in a relevant field or equivalent professional experience
- 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.-based culture, society, and norms.
- Comfortable with high-school level STEM*
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content

The Senior TPM will define requirements, negotiate priorities, and deliver optimal solutions and mechanisms. The role involves driving large-scale engineering efforts, resolving complex problems, and influencing technology strategies that provide long-term beneficial impacts on products, technology, and engineering.Skills and Qualifications:
Complex Problem-Solving: Experience in driving large-scale engineering efforts that solve significantly complex or endemic problems. Capability to identify gaps/opportunities within or between architectures and organizations.Risk Management and Optimization: Proficiency in identifying potential risks, updating processes, and ensuring accurate data collection and monitoring for informed decision-making.
In the Workforce Optimization program, partner with HR and operations stakeholders to set project priorities and milestones. Negotiate priorities to balance immediate operational needs with long-term strategic goals.
Program Oversight:Oversee the roadmap for the key programs, driving tactical and strategic improvements in workforce management systems. Ensure the program enhances operational efficiency and aligns with organizational objectives.

To learn more about Annapurna Labs and get a feel of our products, you are welcome to watch the following videos:
- AWS re:Invent 2022 - Keynote with Peter DeSantis
- AWS re:Invent 2022 - Leaping ahead: The power of cloud network innovation (Dave Brown)
- Working in SW development at AWSKey job responsibilities
Working for Annapurna Labs is thrilling, fast-paced, and a constant learning experience. As an ENA Firmware SW development engineer, you will be responsible for developing features for Annapurna Labs next-generation hardware, to enable high network bandwidth and packets-per-seconds (PPS) performance, with consistently low latency. You will work to bring up a broad selection of instance types, optimized for various use cases, to suit each of our customer’s needs, such as varying combinations of CPU, memory, storage, and networking capabilities. As an ENA Firmware SW development engineer, you will play a key role in shaping architecture definitions and SW system designs, and help to resolve complex customer issues. You will continuously evolve technically, while working to monitor AWS cloud health, maintain high quality standards, develop highly-optimized code, and provide exceptional customer satisfaction.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.
Why AWS?Inclusive Team CultureMentorship & 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

- B.Sc. degree in Computer Science or Electrical Engineering.
- 5+ years of professional experience in SW development.
- Strong hands-on experience in C development, with a mindset for developing optimized code.

- Experience with multi-core/multi-threaded programming
- Experience of firmware and driver development for embedded systems
- Strong background in low-level software and hardware integration
- Proven ability to optimize real-time performance in complex systems
- Experience developing in Linux environments
- Working knowledge of networking protocols

Come join the Alexa Audio team working on Alexa+, a completely new product that powers all of our devices and services. This is an opportunity to work with latest machine learning techniques, and inventing the future.Responsibilities
- Apply advance state-of-the-art artificial intelligence techniques and develop algorithms in areas of personalization, voice based dialogue systems and natural language information retrieval.
- Design scientifically sound online experiments and offline simulations to study and improve products.
- Work closely with talented engineers to create scalable models and put them to production.
- Perform statistical analyses on large data sets, identify problems, and propose solutions.
Work hard. Have fun. Make history.

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development

Key job responsibilities
Work closely with the Product Managers, Scientists, Engineers, and Data Engineers on developing BI/analytics solutions to measure the performance of new and existing solutions (including ML models) and surface new opportunities for improvements.In this role, the BIE will be responsible for migrating dashboards to new visualization tools, conducting thorough testing, deploying the new tools, and training users on the updated visualization platform.

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
- Experience in the data/BI space

Responsibilities include working with a team of support engineers, enhancing process and service improvements, monitoring and improving day-to-day operational efficiency, and being self-motivated. The role also involves driving smaller-scope development projects and building custom tools.Key job responsibilities
Technical Support and Problem Resolution • Diagnose and resolve complex production software issues across multiple products and services • Perform comprehensive troubleshooting and root cause analysis for technical challenges • Provide timely and effective support through ticket management and customer communicationSoftware Development and Maintenance • Develop and implement operational tools and automation solutions using Ruby, Rails, Java, Python, and shell scripting • Maintain and configure software systems in staging and production environments • Implement fixes and enhancements for internally developed software applicationsSystem Operations and Monitoring • Design and implement monitoring solutions to ensure system reliability and performance • Manage software deployments and support infrastructure in AWS and web technology environments • Create and maintain system and support status reportsTeam Collaboration and Knowledge Management • Coordinate support issue handoffs within the team • Develop and contribute to a comprehensive team knowledge base • Collaborate with cross-functional teams to improve operational excellenceProduct and Service Ownership • Take ownership of digital products or system components • Ensure adherence to service level agreements (SLAs) • Coordinate customer notifications and workflow managementThis rewrite provides a more structured and clear representation of the support engineer's responsibilities, highlighting key areas of expertise and expected outcomes.

- 3+ years of continuous integration and continuous delivery (CI/CD) experience
- 3+ years of software development with object oriented language experience
- 3+ years of virtualization, orchestration and cloud computing (eg. Hypervisors, VMware, Xen) experience
- 3+ years of database administration experience
- 3+ years of information security and compliance experience
- Bachelor's degree in computer science or equivalent, or 3+ years of technical support experience

- 3+ years of distributed systems experience
- 3+ years of network and operating system support experience

Key job responsibilities- Design, development and maintenance of data pipelines, tables, reports and dashboards.
- Development of moderately to highly complexity data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.).
- Collaborating with stakeholders to understand business domains, requirements, and expectations. - Resolve data issues- Actively manage the turnaround time and deliverables of projects, anticipate risks and resolve issues.
- Adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

- Experience in tax, finance or a related analytical field
- Experience writing complex Excel VBA macros
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL or ETL

- Experience working with Tableau
- Experience using very large datasets