Benefits:

• Competitive salary based on your experience

• You may work at our office (Luxembourg, Romania, France/Paris), or even from home

• Full coverage of operational costs

• Full-time employment

Experience Requirements:

• At least 6 years of relevant professional experience

• At least 5 years of experience supporting SaaS or PaaS software development teams in an agile environment

• At least 4 years of experience developing and managing technical environments for a team of more than 10 developers

Other Requirements:

• At least 4 years of experience creating CI/CD pipelines and using tools like Jenkins, Argo, Git, BitBucket, and JIRA for automating processes

• At least 3 years of professional experience with Kubernetes and Helm

• At least 3 years of Cloud experience with Azure, GCP, AWS, or another cloud computing platform

• Experience deploying applications to the cloud and administering and maintaining those applications

• Excellent communication and interpersonal skills

Responsibilities:

• Lead broad and highly visible efforts to improve our development processes and developer experience in a highly impactful way

• Provide technical direction regarding tooling, integrations, automation, and security

• Demonstrate deep and broad knowledge of storage, security, networking, and automation technologies

• Lead the implementation of major infrastructure improvements and optimizations

Benefits:

• Competitive salary based on your experience

• You may work at our office (Luxembourg, Romania, France/Paris), or even from home

• Full coverage of operational costs

• Full-time employment

Education Requirements:

• Bachelor or Master Degree in Computer Science, Mathematics, Statistics, Artificial Intelligence, Data Science, Machine Learning or related fields required

• Graduated AI, Data Science, ML, NLP, Statistics courses are considered to be a plus

Experience Requirements:

• Experience with Machine Learning and NLP, and with developing production ML and / or NLP systems

Other Requirements:

• Proficiency with the Python programming language (minimum 4 years)

• Proficiency with Python and basic libraries for machine learning and data manipulation such as scikit-learn and pandas

• Proficiency with NLP tools and libraries such as NLTK, spaCy, fastText

• Proficiency with SQL

Responsibilities:

• Using ML and NLP techniques to develop new application components or to improve the existing ones

• Integrate the developed application features with the rest of the application

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress

• Managing available resources such as hardware, data, and personnel so that deadlines are met

Benefits:

• Competitive salary based on your experience

• You may work at our office (Luxembourg, Romania, France/Paris), or even from home

• Full coverage of operational costs

• Full-time employment

Education Requirements:

• BSc in Computer Science, Engineering or relevant field

Experience Requirements:

• 3+ years of experience as a Python developer

Other Requirements:

• Excellent logical reasoning and problem-solving skills

• Experience developing REST APIs using Python Flask framework

• Familiarity with event-driven programming in Python

• Experience building Micro services-based applications

Responsibilities:

• Writing scalable code using Python programming language

• Develop modularized back-end components to call AI services, keeping in mind responsiveness and overall performance

• Design and develop AI models to meet project requirements

• Convert AI/ML models into APIs that other developers can use

Benefits:

• Competitive salary based on your experience

• You may work at our office (Luxembourg, Romania, France/Paris), or even from home

• Full coverage of operational costs

• Full-time employment

Experience Requirements:

• At least 2 years experience building modern front-end applications using frameworks like Laravel, Symphony

• Experience building modern front-end applications using Vue.js or similar Single-Page Application frameworks

Other Requirements:

• An advanced grasp of JavaScript, HTML, CSS, PHP, MySQL

• Strong knowledge of building APIs

• The ability to promptly transform a set of functional/UX requirements into a working product

• Experience working with distributed source control and a dynamic team that responds to change

• The ability to build a large front end architecture that scales well

Responsibilities:

• Front-End development and back end development in on our main application

• Work closely with small, nimble, cross-functional team to deliver the product according to the roadmap

• Architect a codebase that is reusable and can evolve with our product

Benefits:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Education Requirements:

• Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field

Experience Requirements:

• 5+ years of industry experience as a data scientist. For PhD degree holders, the minimum years of required experience as a data scientist is 2 years.

• You have strong business sense, and are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights.

• You are familiar with BI visualization tools such as Sigma, Metabase, Tableau or Looker.

• You are proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT).

• You are proficient in Python.You have experience in writing source-controlled code for pipelines and internal tools for data-oriented decision making.

Other Requirements:

• You are strong at statistics. You have experience in applying these skills into tangible improvements in products, internal tools and processes using A/B testing and non-experimental methods.

• You are concise and precise in written and verbal communication. Technical documentation is your strong suit.

Responsibilities:

• Define and build data assets, e.g. KPI definitions, data pipelines and dashboards, to measure the performance of AI-powered assistant products for knowledge workers.

• Identify opportunities to improve these KPIs, and influence cross functional teams to incorporate associated changes into their roadmaps.

• Create and maintain quantitative frameworks and methodologies, e.g. bring more rigor into experiment analyses, use statistical modeling to identify leading indicators of user growth and engagement.

Benefits:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Education Requirements:

• Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field

Experience Requirements:

• 6+ years of industry experience (4+ for Masters degree holders, 3+ for PhD degree holders).

• You are concise and precise in written and verbal communication. Technical documentation is your strong suit.

• You are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights.

• You are proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT).

• You have experience in writing source-controlled code for pipelines and internal tools for data-oriented decision making.

Other Requirements:

• You’re strong in statistics and/or machine learning. You have experience in applying these skills into tangible improvements in products, internal tools and processes.

• You are proficient in Python.

Responsibilities:

• Define and build data assets, e.g. KPI definitions, data pipelines and dashboards, to measure the performance of AI-powered assistant products for knowledge workers.

• Identify opportunities to improve these KPIs, and influence cross functional teams to incorporate associated changes into their roadmaps.

• Create and maintain quantitative frameworks and methodologies, e.g. bring more rigor into experiment analyses, use statistical modeling to identify leading indicators of user churn & retention.

Education Requirements:

• BS in computer science from an accredited university or 5 years of professional work experience

Experience Requirements:

• 5 years of professional software engineering experience

• 1 year of professional work experience in data infrastructure, ML/AI models in production, neural network algorithms, or performance optimization of deep learning systems

Other Requirements:

• Some experience with Python is required

Responsibilities:

• Implementing various algorithms to do automated feature extraction and dataset augmentation, optimizing runtimes of neural network algorithms and building higher-level abstractions for various common AI/ML techniques

• Working cross functionally amongst other engineers, on common ML operation tasks such as ML data management and training and model deployment, as well as build systems that are scalable

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Responsibilities:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Responsibilities:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Responsibilities:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Responsibilities:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Responsibilities:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Responsibilities:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Responsibilities:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• managing the creation of complex enterprise AI solutions

• driving tangible business value

Responsibilities:

• managing the creation of complex enterprise AI solutions

• driving tangible business value

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Responsibilities:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Responsibilities:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• design

• develop

• implement enterprise AI solutions

Responsibilities:

• design

• develop

• implement enterprise AI solutions

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• design

• develop

• implement enterprise AI solutions

Responsibilities:

• design

• develop

• implement enterprise AI solutions

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• design

• develop

• implement enterprise AI solutions

Responsibilities:

• design

• develop

• implement enterprise AI solutions