Experience Requirements:

• Have at least 1 research project related to machine learning in which you played a major role

• Significant Python, machine learning, research experience

• Be familiar with C or C++

Responsibilities:

• Create datasets for potential, powerful capabilities of language models such as function calling and reflection

• Build tooling and infrastructure to enable efficient fine-tuning experiments on language models

• Help develop new methods or novel fine-tuning techniques to improve language model behaviors

• Run experiments that feed into key AI research

Benefits:

• Professional Development

• Flexible Work Environment

• Room Allowances

Experience Requirements:

• 3+ years

Benefits:

• Medical, dental & vision

• 401K options

• 2 company-wide weeks off each year

• Unlimited PTO

• Remote work

Benefits:

• Medical, dental & vision

• 401K options

• 2 company-wide weeks off each year

• Unlimited PTO

• Remote work

Benefits:

• Medical, dental & vision

• 401K options

• 2 company-wide weeks off each year

• Unlimited PTO

• Remote work

Benefits:

• Family Health Insurance

• Accident & Term Life Insurance

Education Requirements:

• Post Graduate / Graduate

Experience Requirements:

• 1-3 years, preferably worked on SME published reports

Responsibilities:

• Conduct qualitative and quantitative research for SME sector and publish reports and articles independently to contribute to thought leadership

• Prepare monthly & quarterly research reports as per requirement

• Deliver client and investor presentations

• Prepare trend analysis in the data sheet

Responsibilities:

• Train large-scale diffusion transformer models across 100s of GPUs

• Distill models to run cheaply and quickly without sacrificing quality

• Stay up to date with the latest DiT techniques by reading arXiv papers. Proactively bring up ideas to the team of what we could be doing technically.

• Clean and label internet-scale video data

• Train LoRAs to enable new features

Education Requirements:

• Doctor

Education Requirements:

• Doctor

Education Requirements:

• Ph.D. with first division in the preceding degree or equivalent in the relevant discipline, with a good academic record throughout

• M.Tech/B.Tech with first division in the relevant discipline, with a good academic record throughout.

• M.Tech/B.Tech/MBA/M.Sc with first division in the relevant discipline, with a good academic record throughout.

Experience Requirements:

• relevant industry/research experience

Education Requirements:

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

Experience Requirements:

• 5+ years of hands-on experience in machine learning, with a focus on anomaly detection.

Responsibilities:

• Develop and implement machine learning models focused on anomaly detection in industrial IoT data.

• Design algorithms for predictive maintenance and condition monitoring.

• Work closely with data engineers to create robust data pipelines for real-time analytics.

• Analyze large datasets, extract insights, and provide actionable recommendations.

• Optimize models to improve detection accuracy and reduce false positives.

Benefits:

• Competitive salary and benefits package.

• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.

• Opportunity to work with cutting-edge technologies.

• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.

• Annual health check-ups.

Education Requirements:

• Bachelor’s degree in computer science, Statistics, Mathematics, or related field.

Experience Requirements:

• Minimum of 5 years of proven experience in delivering Data Science solutions in a professional environment.

Responsibilities:

• Responsible for cleansing, filtering, and refactoring complex data from different sources, further analyzing, and investigating it to identify how they can be used to generate a model with high accuracy.

• Experience is model development and in performing model validation to support the integrity and improve the accuracy of the model

Education Requirements:

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field, or equivalent work experience.

Responsibilities:

• Lead the design, development, and implementation of machine learning models, AI algorithms, and Large Language Models (LLMs) for various business applications.

• Collaborate with cross-functional teams (product, engineering, business) to understand the problem domain and define model objectives.

• Analyze large datasets to identify patterns, trends, and insights, and use these findings to develop predictive models and actionable business solutions.

• Build, test, and refine machine learning models using state-of-the-art techniques, including supervised and unsupervised learning, reinforcement learning, deep learning, and natural language processing (NLP).

• Develop and optimize LLMs (e.g., GPT, BERT, etc.) to improve language understanding, text generation, and other NLP applications.

Benefits:

• Health & Commuter Benefits

• Flexible PTO

Education Requirements:

• Degree within Computer Science, Data Engineering, or a related field.

Experience Requirements:

• 2-4+ years of industry experience in applying AI/ML, preferably on well-known consumer data products or services.

• Hands-on experience in delivering production-ready code (Python, Java, etc.)

• Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake)

• AI/ML models, Natural language process (NLP) and data mining experience

Other Requirements:

• Are you ready to work (hybrid) out of our downtown Manhattan office 3 days a week (Tuesday-Thursday)? (no relocation benefits)

• Do you require any form of visa sponsorship or immigration support? (Includes new or transfer H1, O1, PERM, F1-OPT, STEM extensions, etc.)

Responsibilities:

• Process, cleanse, and verify the integrity of data used for downstream analytics products

• Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology)

• Participate in strategic planning and be responsible for the team roadmap and its execution.

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.