Business Intel Eng Eu Sc Placement jobs at Amazon in Luxembourg, Luxembourg

In this role you will:
* Publish your innovation in top-tier academic venues and hone your presentation skills.
* Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

* PhD in a relevant field, received within 2 years of starting the program
* Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Operations Research, or other related technical fields
* Experience in data science and quantitative research
* Proficiency in technologies relevant to the subfield

* Ability to independently deliver results in a fast-paced environment
* Publications at top-tier, peer-reviewed conferences and/or journals
* Exceptional verbal and written communication skills
* Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies

Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.
Key job responsibilities- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Write high quality code to retrieve and analyze data
- Understand data resources and how, when, and what to use (and what not to use).A day in the lifeAbout the team
If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern.
- Competitive pay- Networking opportunities with fellow interns- Mentorship and career development
If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies.Internship start dates vary throughout the year.
Internship length is ideally 6 months.

- Are enrolled in or have completed a Bachelor's degree in computer science, computer engineering, or related field
- Work 40 hours/week minimum and commit to 6 month internship maximum

- Are enrolled in or have completed a Master's degree in computer science, computer engineering, or related field
- Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools
- Experience with data querying or modeling with SQL or Excel
- Experience with SQL

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

Key job responsibilities
- Develop and maintain client relationships, negotiate sales contract and drive revenue based org goals.- Managing working-level relationships across the organization.- Uses expertise and judgment to select stakeholders to determine the right goals, inform decisions, and design long-term solutions.
- Communicating goals, roles, responsibilities and desired outcomes to cross-functional project teams to gain buy-in and deliver programs.- Addressing barriers through problem solving, communication and active coordination with stakeholders.

Your day will be dynamic and purpose-driven. You'll collaborate with world-class engineers, prototype innovative solutions, and rapidly transform ideas into functional technologies. Expect to engage in fast-paced development cycles where your creativity and technical expertise drive meaningful change.Key job responsibilitiesAnalyze complex technical challenges and develop strategic, efficient solutions
Participate in code reviews, architectural discussions, and continuous improvement initiatives
Contribute to a culture of technical excellence and knowledge sharing

- 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

Key job responsibilities
As part of this role you will:
1. Work closely with product, economist, Data Engineering, AI and ML teams to identify opportunities and issues.
2. Participate in developing strategy for turning data into actionable insights
3. Inspect key metrics to uncover trends and root causes of issues.
4. Build AI solutions to measure and provide insights on key inputs and output metrics that drive Amazon price perception
5. Develop deep dive tools and BIE products used across Amazon to understand our key metrics.
A day in the life
In this role you will have exposure to all phases of the product life cycle including researching customer needs, developing opportunity models, and building operational metrics. You will develop and maintain scalable, automated, user-friendly systems, AI solutions, and visual interfaces to support product strategy and operational performance. You will work closely with and guide a team of BIEs to work smarter, faster, and generate big ideas. The ideal candidate will be passionate about working with big data sets, exposure to data science, and contributing to product design.

- Experience managing, analyzing and communicating results to senior leadership

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