AI Jobs

Education Requirements:

• Master’s degree, or foreign degree equivalent, in Business Analytics, Statistics, Mathematics, Computer Engineering, or a related field

Experience Requirements:

• 4 years of experience in Machine Learning, Data Analytics, and Visualization.

• 4 years of experience creating Machine Learning pipelines and optimization

• 4 years of experience using open-source programming languages for large scale data analytics, including data handling and machine learning packages.

• 4 years of experience in creating machine learning models and strategies

• 1 year of experience in AI research and deep learning

Other Requirements:

• Employer will only employ those who are legally authorized to work in the United States for this opening.

• Any offer of employment is conditioned upon the successful completion of a background check and drug screen (as applicable).

Responsibilities:

• Build advanced machine learning models, including deep learning models, gradient boosting machines, time series models, statistical models and clustering analysis based on project requirements.

• Check model stability, model optimization and model performance measurements and perform exploratory data analysis, feature selection, and data visualization.

• Design, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions.

• Develop frameworks for tracking and measuring results produced by analytics models.

• Research new machine learning techniques and advanced analytics solutions and implement them on Ether, our Machine Learning and Artificial Intelligence based platform.

Benefits:

• International team

• Fully remote company

• Fun team building events

• Flexible working time

• Home office budget up to €1500

Experience Requirements:

• 5+ years of experience as a Data Scientist or Machine Learning Engineer

• Proficiency in Python, including experience with libraries such as Scikit-Learn, NumPy, Pandas, and PyTorch/TensorFlow

• Proficiency in SQL and experience working with data warehouses (e.g., Snowflake, GCP)

• Strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques

• Experience with cloud platforms for model training and deployment

Other Requirements:

• Analytical mindset

• Strive to understand business challenges and leverage ML to solve them

• Stay calm in the face of challenges and have an infectious, can-do attitude to solving problems

• Aptitude for digesting complex ML concepts and effectively communicating them to both technical and non-technical audiences

• Team player with high integrity - you can remain flexible as we grow

Responsibilities:

• Define and evolve our infrastructure to allow for better ML capabilities

• Identify, source, and refine datasets to allow tuning models and create ML opportunities

• Pre-process data by using techniques such as data cleaning, feature engineering, and transformation

• Train, evaluate, and deploy machine learning models up to production

• Monitor, debug, and continuously improve deployed models

Benefits:

• Competitive compensation and comprehensive benefits package

• Opportunity to contribute to cutting-edge computer vision projects

• Engage in a collaborative and innovative work environment

• Access to professional growth and development opportunities

• Potential for flexible work hours (if applicable)

Experience Requirements:

• Prior experience with at least 3 years in data annotation or related fields is a desirable asset

• Knowledge on how to use Computer Vision Annotation Tool (CVAT) for solving different data annotation challenges

Other Requirements:

• Familiarity with computer vision concepts and terminology

• Exceptional attention to detail, with an unwavering commitment to maintaining the highest levels of accuracy

• Capability to excel both as an independent contributor and as a collaborative team member

• Strong interpersonal and communication skills

• Adaptability and resilience in dynamic, fast-paced environments

Responsibilities:

• Annotate and label various data types, including images, videos, point clouds

• Ensure the quality and accuracy of annotations, preventing errors that could compromise the effectiveness of machine learning algorithms

• Uphold consistency in annotations, make sure all the annotations follow the same rules and guidelines

• Perform data pre-processing (resizing images, standardizing text data, converting data into suitable formats)

• Collaborate with data scientists, machine learning engineers, and project managers

Education Requirements:

• MSc in a quantitative field (Computer Science. Statistics, Software\Information System Engineering or similar), specializing in Machine Learning

Experience Requirements:

• 2+ years of working experience as a data scientist

• Hands-on experience with Python development

• Strong knowledge with SQL/NoSQL databases

• Experience in deploying ML algorithms to production environments

• Deep understanding of machine learning models and statistical inference

Other Requirements:

• Great communication and interpersonal skills

Responsibilities:

• Be part of a data-science team where you will lead end-to-end ML projects. (from business understanding through data exploration, research, algorithm development, evaluation, optimization & A/B testing to model deployment)

• Take part in developing new cutting-edge algorithms based on various ML techniques

• Improve our ML pipeline

• Work in a short life-cycle research and development environment, while continually adjusting algorithms according to A/B testing feedback

• Work closely with the Product, Customer Success, BI, Dev and DevOps teams

Education Requirements:

• Bachelor's Degree in Computer Science, Mathematics, Statistics, Engineering, or related fields

Experience Requirements:

• Experience in data science through professional work, academic coursework, or completed data science projects

Other Requirements:

• Ability to translate mathematical and data science ideas into Python snippets

• Knowledge of machine learning algorithms

• Strong problem-solving skills, including the ability to think creatively and critically analyze data to identify trends and insights

• Effective verbal and written communication skills to articulate complex technical concepts to both technical and non-technical audiences

• Strong attention to detail, time management, and organisational skills

Responsibilities:

• Collaborate with the product and Data Science teams to identify business needs and define project goals and objectives

• Assist with analysing data, statistical analysis, and the development of machine learning models

• Assist in designing and conducting experiments and simulations to discover patterns, trends, and insights in data

• Participate in team meetings and discussions, share progress updates, and provide suggestions for improving project outcomes

• Participate in the data preparation process, including data cleaning, feature engineering, and data transformation

Education Requirements:

• At least a B.Sc. in Computer Science, Data Science, Engineering, or a related field

Experience Requirements:

• 3+ years of hands-on experience in data science or applied ML

• Strong Python skills and experience with ML/NLP libraries (e.g., pandas, scikit-learn, Hugging Face, PyTorch)

• Solid understanding of NLP tasks, especially document-level classification and reasoning

• Experience working with production-level data and noisy datasets

Other Requirements:

• Comfortable working in a fast-paced, early-stage startup environment

• Bonus: experience with sensitive data detection, document parsing, or vector databases

Responsibilities:

• Develop and refine various types of models for extracting and interpreting information.

• Work with a range of data formats to uncover meaningful insights.

• Utilize modern machine learning techniques and representations for data understanding.

• Continuously test and enhance approaches to improve practical outcomes.

• Partner with different teams to integrate intelligent systems into workflows.

Benefits:

• Remote work with an open-source culture

• 14 days leave (and unlimited sick days)

• GPUs, AI credits, fast progression

Experience Requirements:

• Mid-level

Other Requirements:

• Deeply curious & energetic researchers capable of driving forward transformers based research across modalities and architectures

Responsibilities:

• Stay up-to-date with state-of-the-art AI research across NLP, computer vision, speech, and multi-modal learning

• Continuously read papers and explore new architectures

• Craft data, train or fine-tune and extend LM capabilities combining text, images, audio, etc.

• Implement and experiment with these models in a practical setting. Design training pipelines, perform rigorous evaluations, and iterate quickly to improve performance.

• Work closely with our engineering team to bring research breakthroughs into our products.

Benefits:

• Company equity

• Learning & development budget

• Flexible working options

• Generous pension matching

Experience Requirements:

• Experienced in Data Science and Data Engineering roles

• Proficient with SQL and Python

• Experienced with using and managing data created by Generative AI

• Comfortable working with cloud platforms like AWS/GCP/Azure

• Experienced at building ML models

Other Requirements:

• Mission-driven, caring deeply about helping people use AI safely

• Kind and curious, always looking for ways to improve our tech and product for customers

Responsibilities:

• Analyze the accuracy of our techniques for classifying results and identifying vulnerabilities

• Evaluate the relative merits of alternative approaches identified by the team

• Identify and develop further improved methods for classifying results and identifying vulnerabilities

• Identify new insights and visualisations from our data that would benefit our customers

• Design and implement improvements to data pipelines and labelling systems that facilitate ongoing quality

Benefits:

• Stipend to support research training of £2,000 for 4 years

• Tuition fees waived up to the overseas rate for 4 years

Education Requirements:

• Academic or professional background in Computer Science, Mathematics, Statistics, Econometrics, or related disciplines

• Academic or professional background in Law, Information Systems, or Computer Science

• Academic or professional background in Computer Science, Mathematics, Statistics, Econometrics, Industrial Engineering, or any related disciplines

Responsibilities:

• Research on AI for Fairness, Transparency, and Inclusive Growth in Financial Services

• Research on ethical, legal, and social implications of integrating AI

• Developing policies and strategies for human-AI coexistence

• Research on AI to enhance sustainability and efficiency in supply chain networks

Education Requirements:

• 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 in core scientific horizontals (Seeing and Sensing, Dependability, Real-time Computer Vision Systems, Data Collection, Curation and Annotation)

• Relevant industry/research experience in application verticals (Computer Vision for Autonomous Systems, Dependable AR-VR for X, CV and VR for Industry 4.0, Imaging for Document Analysis, Computer Vision for Better Living: Healthcare and Biosphere)

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications

Education Requirements:

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

Experience Requirements:

• Relevant industry/research experience in core scientific horizontals (Seeing and Sensing, Dependability, Real-time Computer Vision Systems, Data Collection, Curation and Annotation)

• Relevant industry/research experience in application verticals (Computer Vision for Autonomous Systems, Dependable AR-VR for X, CV and VR for Industry 4.0, Imaging for Document Analysis, Computer Vision for Better Living: Healthcare and Biosphere)

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications

Education Requirements:

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

Experience Requirements:

• More than 5 years of experience in Computer Vision for Autonomous Systems

• More than 5 years of experience in Dependable AR-VR for X

• More than 5 years of experience in CV and VR for Industry 4.0

• More than 5 years of experience in Imaging for Document Analysis

• More than 5 years of experience in Computer Vision for Better Living: Healthcare and Biosphere

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications

Education Requirements:

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

Experience Requirements:

• 2 to 5 years of experience in Computer Vision for Autonomous Systems

• 2 to 5 years of experience in Dependable AR-VR for X

• 2 to 5 years of experience in CV and VR for Industry 4.0

• 2 to 5 years of experience in Imaging for Document Analysis

• 2 to 5 years of experience in Computer Vision for Better Living: Healthcare and Biosphere

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications

Education Requirements:

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

Experience Requirements:

• Less than 2 years of experience in Computer Vision for Autonomous Systems

• Less than 2 years of experience in Dependable AR-VR for X

• Less than 2 years of experience in CV and VR for Industry 4.0

• Less than 2 years of experience in Imaging for Document Analysis

• Less than 2 years of experience in Computer Vision for Better Living: Healthcare and Biosphere

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications

Benefits:

• Open, supportive culture

• Transparent culture

• Continually learning culture

• Opportunity to work on ambitious, challenging, cutting-edge, large-scale AI projects

• Work in Platform94, a center for excellence in scaling technologies

Education Requirements:

• Bachelor R’s or Master R’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

• Utilise modern tools and technologies to manage, analyse, and visualise data

Experience Requirements:

• 2-4 years

Benefits:

• Lively/purposeful work culture and people oriented organization

• Exposure to working on enterprise national and international $million projects

• Complete job and employee security

• Warm, authentic and transparent communication

• Time to time jon feedback and exposure to different technologies

Education Requirements:

• Technical Graduates ( BCA, BSC, B.Tech) and MSc and M.Tech with Programming Skills

Experience Requirements:

• Experience: 3-4 years

• Statistical Skills

• Programming Languages is must (Python will be preferred)

• Advanced MS Excel skills

• Data warehousing & Bi

Other Requirements:

• Excellent communication skills

• Attention to detail

• Analytical mind and Problem Solving Aptitude

• Strong Organizational skills

• Visual Thinking

Responsibilities:

• Determine Organizational Goals, mine data from primary and secondary sources

• Clean & Prune Data, Analyze & interpret results.

• Pinpoint the trends, patterns, and correlations in complicated data sets

• Provide concise data reports with data visualizations

• Create and maintain relational databases and data system

Education Requirements:

• Technical Graduates ( BCA, BSC, B.Tech) with Programming Skills

Experience Requirements:

• Experience : 1 - 3 Years

• Statistical Skills

• Critical thinking & Public Speaking

• Programming Languages ( Python / Java / Scala )

• Advanced MS Excel skills

Other Requirements:

• Excellent communication skills

• Attention to detail

• Analytical mind and Problem Solving Aptitude

• Strong Organizational skills

• Visual Thinking

Responsibilities:

• Master Data Management

• Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.

• Provide quality assurance of imported data, working with quality assurance analysts if necessary.

• Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.

• Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.

Benefits:

• Visa sponsorship

Education Requirements:

• Currently enrolled in a PhD program in Computer Science or a related technical field

Experience Requirements:

• Experience in one or more areas of Computer Science, such as Large Language Model, Natural Language Processing, Natural Language Understanding, Neural Networks, Machine Learning, Deep Learning, Graph Representation, Data Management, Data Integration, Human-Computer Interaction, AI with Humans In The Loop or similar

• Proficiency in one or more programming languages including C/C++, Java, Python or Javascript to rapidly turn research ideas into software prototypes

• Contribution to research communities and/or efforts, including publishing papers (i.e. being listed as author) in major conferences or journals

Other Requirements:

• Available to work full time for 12 weeks during the summer

• Ability to design and execute a research agenda

• Returning to a degree program after completion of the internship

Responsibilities:

• focus on high-impact projects while closely working with our Research Scientists as their mentors

• participate in cutting-edge research for real-world and large-scale problems, aiming to publish papers at top-tier conferences

• creating techniques that integrate domain-specific external data and human-centered approaches, prioritizing trustworthiness, explainability, and robustness

• explore how these data-driven and knowledge-intensive methods can transform and enhance tasks in natural language processing, database management, and artificial intelligence, especially within the HR domain

Benefits:

• very competitive salary package

• full benefits (medical, dental, vision & life insurance, etc)

Education Requirements:

• PhD (or MS working towards a PhD) in Computer Science, related technical field

Experience Requirements:

• equivalent practical experience with an outstanding publication and service track record commensurate with experience

• Strong programming experience in one or more of the following: C, C++, Python, Java

• Relevant work experience, including full-time industry experience or as a researcher in a lab

• Strong publication record

Other Requirements:

• Ability to design and execute a research agenda

• Personal or professional experience in working with people of diverse backgrounds

Responsibilities:

• Participate in cutting edge research in the following areas: Data Management and Integration, Data Mining, Machine Learning, Natural Language Processing, Knowledge Representation, Bot interfaces, Crowdsourcing, and Visualization

• Develop solutions for real world, and work on large scale problems