Software Development Engineer Conversational Ai Modeling Learning jobs at Amazon in Luxembourg, Luxembourg

Key job responsibilities
1. Build Analytical Applications and Dashboards:
- Design and develop interactive, user-friendly analytical applications and dashboards to enable data-driven decision-making for ShipTech stakeholders.
- Integrate with various data sources and APIs to provide a comprehensive view of shipping operations and performance metrics.
- Implement advanced data visualization techniques and interactive features to enhance the user experience.
2. Ensure Operational Reliability and Scalability:
- Monitor the health and performance of the ShipTech analytics platform, proactively identifying and resolving issues to maintain high availability and responsiveness.
- Implement robust testing frameworks, continuous integration, and deployment processes to ensure the reliability and consistency of the platform.
- Partner with data scientists, product managers, and domain experts to understand business requirements and translate them into technical solutions.
- Participate in design discussions, code reviews, and knowledge-sharing sessions to align on best practices and architectural decisions.
- Provide technical guidance and mentorship to more junior engineers to foster a culture of continuous learning and improvement.
4. Drive Innovation and Continuous Improvement:
- Stay up-to-date with the latest trends and technologies in the data engineering and analytics space.
- Identify opportunities to enhance the ShipTech analytics platform, proposing and implementing innovative solutions to improve efficiency, scalability, and user experience.
- Contribute to the development of reusable components, libraries, and frameworks to accelerate future project delivery.
5. Ensure Compliance and Data Governance:
- Implement data security and access controls to protect sensitive information and comply with relevant regulations and policies.- Document architectural decisions, operational procedures, and best practices to maintain the long-term maintainability of the platform.

- Bachelor's degree in computer science or equivalent
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design, or experience in development in the last 3 years
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience troubleshooting and debugging technical systems

- Experience with AWS or cloud technologies
- Experience in delivering design solutions for projects of large scope and complexity
- Experience with explainable machine learning and artificial intelligence methodologies and tools
- Experience building web applications with React and modern web technologies

Key job responsibilities
You will build collaborative relationships with sellers, software engineers, technical program managers, and product managers to support new feature launches, projects, and events like re:Invent. Using data analytics, you will create compelling and actionable insights to improve our operations and service quality for our customers.
Mentorship & Career Growth
On-Call Responsibility

- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
- 4+ years of experience in a technical, hands-on, customer-facing role (such as Support Engineer, Technical Account Manager, or Network Systems Administrator)
- Experience with Linux or Windows system administration
- Experience with networking, virtualization, and cloud computing concepts

- Experience analysing complex data, identifying problems, and implementing solutions
- Working knowledge of AWS services and technologies (including EC2, S3, Lambda, Docker)
- Demonstrated time-management skills with ability to prioritise and make decisions in a fast-paced, data-driven environment
- Strong written and verbal communication skills, with ability to explain complex concepts to technical and non-technical audiences
- Working knowledge of shell, bash, or Python scripting
- One or more cloud certifications (AWS or Linux)

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

This role can be based in any of the below AMZL corporate offices: London, Madrid, Milan, Paris, Luxembourg, Barcelona, Munich with circa. 30% travel required.This position requires deep customer focus, strong autonomy and exceptional project management skills. It will involve regular communication with executors and project sponsors at both the European and worldwide level, and requires you to be detail-oriented and comfortable partnering across functional business and technical teams. To be successful in this role, you need to pair strong analytical skills and a data-driven outlook with strong intuition.
Key job responsibilities
- Lead the design and development of new processes, equipment, process-flows, Infrastructure across all processpaths with AMZL
- Optimize existing processes/equipment and program manage the expansion of new processes/equipment from concept to deployment
- Own and drive programs that improve capacity, productivity, safety and Ergonomics within Delivery Stations- Tracks metrics to identify areas of improvement across all processpaths- Creates strategy for long term roadmap
A day in the life
Your day could include engagement with all levels of the organization and multiple stakeholder groups to drive short, mid and long term decisions that have impact on a large scale across the AMZL network. You would also be working with partners from Operations, Process Improvement, Health and Safety, Ergonomics, Finance, Procurement and external vendors to design and deploy new equipment and processes for the multiple process paths in AMZL Delivery Stations. You will put in place mechanisms to track project success, measure KPIs and build reports to provide visibility to senior leaders across the organization. Finally, you will have fun doing everything listed above.Mentorship & Career Growth:Work/Life Harmony
We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

- MBA, MSc or MEng (Logistics, Supply Chain, Engineering, Mathematics or equivalent)
- Knowledge of other EU languages (German, French, Italian or Spanish advantageous)
- Advanced data analysis skills, Knowledge & ability to use standard design and development tools e.g. AutoCAD, MS Visio
- Demonstrated ability to build strong working relationships with business partners and key stakeholders and the ability to work under pressure in a cross functional organization
- High level of written, verbal and interpersonal skills

Key job responsibilities
-Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems
-Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting
-Simplify and automate reporting, audits, and other data-driven activities-Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation
-Learn new technology and techniques to meaningfully support product and process innovation

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Possessing a deep understanding of AWS products and services, as a Sr. 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.Eligibility requirement:
* This role requires you to be a Swedish National and have business level proficiency in the Swedish languageKey job responsibilities- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsA day in the life
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

- 5+ years of experience in cloud architecture and implementation,
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ years hands-on experience with scripting languages (PowerShell, Python), design, automate, and optimize infrastructure provisioning, configuration management, and deployment processes leveraging Infrastructure as Code (IaC) tools (Terraform, Cloud Formation, Ansible).
- Build and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, AWS CodePipeline, and Code Deploy, experience with revision control source code repositories (Git, SVN, Mercurial, Perforce).
- Containerize applications using Docker, and manage container orchestration platforms like Kubernetes (EKS) or AWS Elastic Container Service (ECS) or Argo CD.

• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
• AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
• Conduct technical workshops, training sessions, and knowledge-sharing initiatives to upskill teams, blogging or writing technical articles or contributing to an open source project, provide technical guidance, best practices, and mentorship to teams, partners, and customers.

Key job responsibilities
You will build collaborative relationships with sellers, software engineers, technical program managers, and product managers to support new feature launches, projects, and events like re:Invent. Using data analytics, you will create compelling and actionable insights to improve our operations and service quality for our customers.
Mentorship & Career GrowthOn-Call Responsibility

- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
- 4+ years of experience in a technical, hands-on, customer-facing role (such as Support Engineer, Technical Account Manager, or Network Systems Administrator)
- Experience with Linux or Windows system administration
- Experience with networking, virtualization, and cloud computing concepts

- Experience analysing complex data, identifying problems, and implementing solutions
- Working knowledge of AWS services and technologies (including EC2, S3, Lambda, Docker)
- Demonstrated time-management skills with ability to prioritise and make decisions in a fast-paced, data-driven environment
- Strong written and verbal communication skills, with ability to explain complex concepts to technical and non-technical audiences
- Working knowledge of shell, bash, or Python scripting
- One or more cloud certifications (AWS or Linux)