דרושים L2 Service Desk Support - French Alexa Information & Ads ב-אמזון ב-United Kingdom, Cambridge

The Training Specialist provides an exceptional learning experience, facilitating blended learning for the AGI-DS org. The role requires the ability to support planning, scheduling, coordination and execution of end-to-end training. The Training Specialist will work close with the Training Manager to track and drive completion of training reporting and task completion through the Learning Management System (LMS). Training Specialists also work to identify areas of improvement at a site level and to drive innovation within training approaches.Key job responsibilities
Facilitate classroom training following the approved curriculum.
Actively work to maintain theoretical proficiency in assigned trainings. Maintain expertise in their current role by staying current on tools, process, procedures, and training techniques.
Manage the classroom to ensure an organized and productive learning environment for all trainees.Ensure trainee success by providing coaching & feedback during training and providing feedback to Training Manager on trainee engagement and performance.Manage relevant tasks within the Learning Management System (LMS), such as enrolment and scheduling of learners & trainings, and troubleshoot any implementation issues.
Publish training reports as per the agreed standard/template.
Collect the feedback on the effectiveness of the training programs/modules/content through training surveys, ongoing observations or while taking the course(s) and shares it with the relevant stakeholders.
Communicate with the relevant stakeholders on the progress and needs of ongoing trainings.

Bachelor’s degree or significant college course work, in communication, education or related field
Good working knowledge (B2+) in both spoken and written English
C1+ or equivalent fluency in French language
Learning/training experience and/or certification
Skilled in and can demonstrate experience with planning, creating, implementing, delivering and assessing various types of training
Communication skills for the purpose of knowledge transfer and skill development, including superior skill in explaining technical topics to novices and collaborating with subject matter experts and managers
Excellent collaboration, coordination and organisation skills
Experience with one-to-many and one-to-one communication skills in both classroom and tutorial settings
Knowledge of adult learning and training practices
Experience working with remote teams
Competent user level of Microsoft Office tools (Word, Excel and PowerPoint)

Bachelor’s Degree in relevant field
Demonstrated working knowledge of eLearning development tools such as Captivate, Articulate Studio/Storyline, Camtasia, Adobe Photoshop/Illustrator, or Flash
Ability to use multiple learning methods and link appropriate methods with subject matter
Experience working with a globally-distributed management organization

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- 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 in building machine learning models for business application
- Experience with natural language processing and/or processing of multi-modal data (e.g. images)

- Experience using Unix/Linux
- Experience in professional software development
- Experience with training and evaluating LLMs

As a member of the team, you will have the opportunity to play a key role in building brand new software products and features from the ground up. You will design and deliver products built with modern full-stack technologies, programming languages, and systems. As your team develops scalable, distributed systems and performant front end clients, you will get to work with state of the art and highly-transferable technologies such as AWS and React.We need you to help us invent and simplify procurement and distribution and connect our customers with both physical and digital formats. Your responsibilities will include all aspects of software development. You'll have the freedom and encouragement to explore your own ideas, and the reward of seeing your contributions benefit customers worldwide.Key job responsibilities
- You are a significant and autonomous contributor.
- You solve difficult problems, applying appropriate technologies and best practices.- You consider the legacy of the code you produce and write code that a Software Developer unfamiliar with the system can understand.
- You create flexible software without over-engineering.
- You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies.- You help balance customer requirements with team requirements.
- You work to resolve the root cause of complex problems, leaving software better and easier to maintain than when you found it.
A day in the life- Design, develop and maintain at scale a variety of stacks that includes front end components, Kotlin and Java backend services and AWS deployed infrastructure.

- Experience (non-internship) in professional software development
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design

- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

Key job responsibilities
As a native French-speaking Support Engineer based out of our Cambridge office, you will be responsible for providing high-quality technical support to Alexa Question & Answering (Q&A) internal and external customers. In the role, you can expect to:
- Follow workflows with strong guidelines to localize and scale Alexa's Q&A understanding, using internal localization tools and engines- Use your language expertise to perform Quality Assurance testing, ensuring that the content you localize is understood correctly and enables Alexa to sound like a local
- Work across a set of internal applications and platforms to analyze where Alexa fails to provide an optimal answer
- Act as the first line of defence by troubleshooting top semantic frictions/defects using a set of semantic Q&A tools and implement fixes to drive improvements in Alexa's performance in your language
- Manage trouble tickets to resolution or escalation, leveraging existing documentation, procedures, and tools
- Provide detailed data and communication in tickets, documenting your investigation actions and next steps
- Adhere to SLA thresholds for defects and stakeholder requests while ensuring all tasks are implemented to our high bar for quality processes
- Generate service metrics using scripts and/or documentation

- One or more years of experience as a transcriber or annotator
- Quick in adapting to new processes and workflows
- Writing/editing experience and familiarity with content production processes
- Experience/Familiarity with ontologies and/or knowledge representations
- Experience/Familiarity in SQL
- Experience in a technical support or similar role

You will be responsible for defining key research directions focusing on LLMs, adopting or inventing new NLP techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice.You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).

PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science10+ years of combined academic and research experience with a strong publication record in top-tier journals and conferences.Functional thought leader, sought after for key tech decisions.Can successfully sell ideas to an executive level decision maker.Experience developing software in traditional programming languages (Python, Java, etc..).Excellent written and spoken communication skills.

10+ years of experience building and deploying innovative NLP solutions at scale.Expert level skills focusing on Large-language-Models.Demonstrated Experience in training LLMs through PT, SFT, and LHF backed by top-tier publications.Published research work in academic conferences or industry circles in NLP top tier conferences.Experience delivering complex end-to-end global NLP solutions that run at very large scale.Experience working with real-world data sets and building scalable models from big data.Thinks strategically, but stays on top of tactical execution.

Key job responsibilities
As a native French-speaking Support Engineer based out of our Cambridge office, you will be responsible for providing high-quality technical support to Alexa Question & Answering (Q&A) internal and external customers. In the role, you can expect to:
- Follow workflows with strong guidelines to localize and scale Alexa's Q&A understanding, using internal localization tools and engines- Use your language expertise to perform Quality Assurance testing, ensuring that the content you localize is understood correctly and enables Alexa to sound like a local
- Work across a set of internal applications and platforms to analyze where Alexa fails to provide an optimal answer
- Act as the first line of defence by troubleshooting top semantic frictions/defects using a set of semantic Q&A tools and implement fixes to drive improvements in Alexa's performance in your language
- Manage trouble tickets to resolution or escalation, leveraging existing documentation, procedures, and tools
- Provide detailed data and communication in tickets, documenting your investigation actions and next steps
- Adhere to SLA thresholds for defects and stakeholder requests while ensuring all tasks are implemented to our high bar for quality processes
- Generate service metrics using scripts and/or documentation

- One or more years of experience as a transcriber or annotator
- Quick in adapting to new processes and workflows
- Writing/editing experience and familiarity with content production processes
- Experience/Familiarity with ontologies and/or knowledge representations
- Experience/Familiarity in SQL
- Experience in a technical support or similar role

Key job responsibilities
- Design, Develop, Implement greenfield real time Systems from the ground up- Propose innovative tools, frameworks, automations and processes for maintaining the system performance standards
- Write clean, maintainable code and perform peer code-reviews. Drive improvements to the code review process. (CDK, Java, Rust, Python)
- Deep-dive into client or server systems to optimize for performance, maintainability, scalability, extensibility as needed.- Utilize deep knowledge of tech fundamentals to build things that can operate at AWS-stressing scale.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent