Benefits:

• Competitive salary

• Interesting project

• Healthy team relationships

Experience Requirements:

• experience with OCT interpretation

Responsibilities:

• share their knowledge with eye care professionals community

• review OCT scans helping eye care specialists with more accurate diagnostics

Education Requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Intelligence, or a related field.

Experience Requirements:

• 2 to 5 years of experience in data science, business intelligence, or similar roles.

• Proven experience in creating dashboards and data visualizations.

Other Requirements:

• Valid authorisation to work in Ireland.

Responsibilities:

• Apply statistical techniques and build predictive models to support business decisions.

• Create compelling visualisations that translate data into actionable insights.

• Develop algorithms for business to help in strategic decision-making.

Responsibilities:

• Basic and applied research of AI algorithms (deep learning, etc.)

• Analysis, proposal, and verification using AI algorithms to solve business issues

• Engineering such as system development using AI algorithms

Education Requirements:

• Computer science, mathematics, statistics or a related degree;

• Master’s degree in machine learning, neural networks, deep learning or related fields;

Experience Requirements:

• Experience in image processing with OpenCV and Computer Vision

• Analytically way of meaning and understanding of mathematical models

• Working with mathematical packages as R package, Matlab or Octave

• CNN (Convolutional Neural Network), training Histogram Oriented Gradients object detectors

• Convolutional Neural Network object detectors, unsupervised and semi-supervised learning, sequence-to-sequence models based on recursive / recurrent neural networks.

Responsibilities:

• Specjalista ds. Analizy Danych odpowiadają za analizę, interpretację i wizualizację danych.

• Jego głównym zadaniem jest wydobywanie wartościowych informacji z danych, które mogą przyczynić się do poprawy jakości algorytmów ML oraz do osiągnięcia celów projektu, oraz implementacja zaawansowanych modeli statystycznych.

Education Requirements:

• Tertiary qualification in Geology or Earth Science.

Experience Requirements:

• Extensive experience experience in mineral resource evaluation (>20years), working in both open pit and underground mining environments.

Responsibilities:

• Lead an expanding resource geology team, providing expertise on resource evaluation methodologies, and ensure the quality control of all resource models and geometallurgical models.

• Audit the clients mineral resource (Kriging) models and Stratum’s generated models.

• Assist in the audit and analysis of complex mine site databases composed of varied geological and geochemical data to evaluate critical issues.

Experience Requirements:

• least 5-7 years of experience as a Senior Data Scientist

Experience Requirements:

• 3+ years

Benefits:

• Weekends Off

• Provident Fund

Experience Requirements:

• 0-1 Yr Exp

Experience Requirements:

• 2-4 years

Benefits:

• Flexible working hours

• Pet-friendly office

• Game room

• Stock purchase plan / Stock options

• Team building

Education Requirements:

• Ph.D. in Machine Learning / Artificial Intelligence, preferably on Generative AI / LLM topics

Experience Requirements:

• Experience in Machine Learning / Artificial Intelligence research, with a track record of publishing research papers and turning them into useful tools.

• Expert proficiency in the Python AI stack, especially with PyTorch, Hugging Face and LLM frameworks.

• Strong skills in software engineering (use of Git, production-ready code.)

• Strong written & oral communication skills in English.

• Bonus 1: open-source contributions are highly valued. Bonus 2: knowledge of cybersecurity fundamentals and techniques is also a plus.

Other Requirements:

• We are hiring people located in France or willing to relocate.

Responsibilities:

• Develop production-ready tools for LLM evaluation & mitigation that can be integrated in our software platform

• Conduct our scientific watch, reading academic papers in the fields of AI Testing / Benchmarking / Security.

• Communicate findings with other AI teams at customers & partners, such as Mistral AI, AWS, Google, Microsoft, NVIDIA, in the form of presentations and papers.

• Push the frontier of AI Safety & Security research with a focus on tools for real-life applications.

Benefits:

• Unlimited vacation

• Flexible working hours

• Remote work possible

Responsibilities:

• Connect our technology with customer needs

• Derive insights and strategic suggestions based on customer data

• Design and build data-based consulting services

• Conduct modeling using our AutoML solution DAVinCI LABS

• Provide training on how to use the solution and lectures on machine learning theory

Education Requirements:

• PhD

Experience Requirements:

• Several years of relevant professional experience.

• Proven excellence in teaching foundational computer science subjects.

Other Requirements:

• Strong proficiency in both written and spoken German (C2) and English for course instruction.

• The application must include a detailed teaching concept that addresses specific ideas for improving teaching in the computer science degree programs at the University of Tübingen as well as new and innovative forms of teaching.

Responsibilities:

• Teaching 12 semester hours (SWS) per semester, including at least one large foundational course in Computer Science for the bachelor’s program at the University of Tübingen. This includes topics in technical computer science (e.g. digital technology, chip design, computer architectures, hardware/software codesign, parallel architectures, operating systems).

• Innovating and improving teaching through new formats and continual revision based on evaluations.

• Supporting Bachelor's and Master's courses in the field of computer engineering.

• Participation in collaborative research projects within the Tübingen AI Center.

• Conducting independent research and possibly leading third-party funded projects.

Benefits:

• Participation in the company’s employee share options plan

• 25 days holiday, plus bank holidays

• Flexible working from home policy plus a one-off WFH allowance when you join

• Work from outside of the UK for up to 6 months each year

• Enhanced parental leave 🚲 Bike2Work scheme 📚 Annual learning and development allowance [👨‍👩‍👧](https://emojipedia.org/family-man-woman-girl/) Company-funded fertility and family-forming programmes [🌸](https://emojipedia.org/cherry-blossom/) Menopause care programme with Maven 🏥 Private healthcare and dental cover, discounts on gym members and relaxation apps, and access to a range of mental health programs

Education Requirements:

• A degree in Computer Science, Machine Learning, or a related field, or equivalent industry experience

Experience Requirements:

• 3+ years of experience working with deep learning and statistical models

Responsibilities:

• Train models and conduct experiments to assess model performance in live deployments

• Work on experimental model architectures, exploring multimodal, efficient long-context etc.

• Develop post-training strategies to achieve state of the art performance on domain-specific tasks

• Generate, collect, and annotate contact center data from sources such as real customer calls, chats, online open datasets, and synthetic data

• Develop robust evaluation benchmarks to track improvements in production models Collaborate with the legal and compliance team to address any compliance or data privacy-related issues Work closely with product and engineering teams to ensure alignment with business and production goals Stay informed about the latest advancements in machine learning, ASR, TTS, and LLM to continuously enhance our technologies

Benefits:

• Competitive Salary Offering

• Company Equity Package

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work

Education Requirements:

• Thorough understanding of Machine Learning fundamentals

Experience Requirements:

• Experience building deep-net models

• Experience with PyTorch or TensorFlow

• Excellent problem-solving ability

Responsibilities:

• Own the end-to-end solution to automate workflows involving intelligent document processing

• Research and develop the right ML/AI models to solve business problems

• Implement solutions and guide the deployment

• Guide the data engineering team on collecting training data

• Guide development of exception handling to provide an end-to-end solution integrating actively labeled data in real-time evolving models to achieve state-of-the-art precision

Education Requirements:

• Minimum Doctoral degree or in the last year of the Doctoral degree in Mathematics/Statistics, Computer Science, Physics or Electrical Engineering.

Other Requirements:

• Demonstrable capacity to produce high quality peer reviewed research.

• Familiar with Linux infrastructure and python (C++ familiarity would be beneficial).

• Preferably some knowledge of financial market mechanics.

• Approachable attitude to joint work and peer review and ability to present complex ideas in a concise manner.

• No previous experience is required.

• mathematics hobbyists