AI Jobs

Benefits:

• Amazing Benefits

• Social Impact opportunities

• Talent development opportunities

• Community fostering at Okta

Education Requirements:

• BA or higher degree preferred

Experience Requirements:

• 3+ years of experience in data management, data engineering, data analytics, or product management

• 3+ years of hands on experience with data visualization tools (Tableau, Looker, PowerBI)

• 2+ years of SQL experience

• Strong understanding of data lifecycle management

• Ability to build relationships with partners and stakeholders, distill business requirements into technical documentation, and prioritize work

Other Requirements:

• Experience with third-party web analytics tools (Heap, Google Analytics, Adobe Analytics)

• Experience with cloud-based data warehouse technologies (Snowflake, BigQuery, Databricks)

• Experience with data engineering tools (dbt, Fivetran, Python, Kafka, Parquet, Hightouch)

• Experience with paywall, subscription, or authentication based products

Responsibilities:

• Partner with peers in product, engineering and program management to develop scalable measurement strategies

• Drive scalable, semantic data models

• Educate and enlighten data stakeholders with newly available objects and models

• Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Incidents, Developers, Quality, etc.)

• Deliver executive dashboards and product insights based on foundational productionalized data models

Benefits:

• Flexible working environment

• Volunteer time off

• LinkedIn Learning

• Employee-Assistance-Program (EAP)

• Internal trainings will be provided together with detailed onboarding agenda.

Education Requirements:

• Master degree

Other Requirements:

• Excellent analytical and numerical reasoning skills

• Excellent interpersonal and teamwork skills

• Interest in the FMCG industry

• Proficient in Microsoft Office Suite, especially Word, Excel, and Powerpoint (SQL would be a plus)

• Fluency in Italian & English

Responsibilities:

• The intern will execute projects with limited supervision by compiling, analyzing, and interpreting sales data and constructing presentations.

• The intern will acquire skills related to the FMCG and distribution market, familiarize themselves with the tools and metrics primarily used by Retailers to address competitors and market trends.

Benefits:

• Hands-on Experience – Work on real AI projects and develop practical skills.

• Mentorship & Networking – Learn from experts and build valuable connections.

• Exposure to Cutting-Edge Technology – Work with the latest AI tools and innovations.

• Flexible working environment

• Volunteer time off

Education Requirements:

• Have completed at least 75% of a master's degree in computer science or an equivalent numerate discipline.

• Background in computer science, IT, data science, maths, linear algebra, statistics.

Experience Requirements:

• Data analysis and practical hands-on experience with datasets, ML models and evaluations.

Other Requirements:

• Familiarity with Machine Learning, Deep Learning (special focus on Transformers) and Natural Language Processing.

• Languages and technologies: Python, PyTorch, Huggingface, GiT, pandas/polars, sklearn.

• Proactive attitude, constructive, intellectual curiosity, and persistence to find answers to questions.

• A proficient level of interpersonal and communication skills

• Fluent level of Spanish and English (level B2)

Responsibilities:

• Investigate, develop, and apply machine learning innovations to a well-defined use case.

• Perform feasibility studies and analyze data to determine the most appropriate solution.

• Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code.

• Be able to communicate results to tech and non-tech audiences.

• Experience working with large real-world datasets and scalable ML solutions.

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