Jobs 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

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

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.