AI Jobs

Responsibilities:

• Take charge of the technical assessment and selection process for the comprehensive system architecture and software platform architecture of the product.

• Accountable for the comprehensive strategic planning and architectural design of the product, ensuring optimal performance, robust security, and unwavering stability.

• Stay abreast of the advancements in emerging technologies and their practical applications, offering the team viable and future-oriented architectural solutions.

• Demonstrate a comprehensive understanding of the business requirements, align technical documentation and development specifications accordingly, and actively enhance the development process.

Responsibilities:

• Extract and convert data from charts and textual materials in academic papers into OpenRead's internal data storage format.

• Acquire expertise in natural language processing (NLP) techniques, including text comprehension, text classification, and text summarization, and integrate viable and innovative concepts into OpenRead applications.

• Conduct a comprehensive investigation on integrating modules with diverse input formats to facilitate cross-learning across various data types.

• Execute module training and engage in research regarding the interoperability of articles, with a primary objective of developing a robust and efficient data extraction mechanism.

• Enhance the precision of data extraction to align with industry best practices.

Education Requirements:

• BS/MS degree in Computer Science, Engineering or a related subject.

Experience Requirements:

• Proven working experience in software development.

• Working experience in iOS development.

Responsibilities:

• Design and build advanced applications for the iOS platform.

• Collaborate with cross-functional teams to define, design, and ship new features.

• Unit-test code for robustness, including edge cases, usability, and general reliability.

• Work on bug fixing and improving application performance.

• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

Education Requirements:

• BS/MS degree in Computer Science, Engineering or a related subject.

Experience Requirements:

• Proven software development experience and Android skills development.

• Proven working experience in Android app development.

Responsibilities:

• Design and build advanced applications for the Android platform.

• Collaborate with cross-functional teams to define, design, and ship new features.

• Work with outside data sources and APIs.

• Unit-test code for robustness, including edge cases, usability, and general reliability.

• Work on bug fixing and improving application performance.

Experience Requirements:

• 5+ years of professional experience with C# and the .NET Framework.

Responsibilities:

• Design, develop, and maintain scalable applications using C# and the .NET Framework.

• Lead the architecture, design, and development of backend systems.

• Work with ASP.NET Core to build modern web applications and RESTful APIs.

• Implement and manage databases with Entity Framework or Dapper ORM.

• Ensure code quality and performance optimization by writing unit tests and following SOLID principles.

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, Business Analytics, or a related field; advanced degrees are a plus.

Experience Requirements:

• 3+ years of experience in business analysis, lead research, or a similar role in the tech or AI domain.

Responsibilities:

• Conduct in-depth research on prospective clients and their industries to understand their business models, challenges, and goals.

• Identify opportunities where AI-driven solutions can provide significant value to potential clients.

• Develop insights and reports outlining how specific AI solutions could solve business challenges.

• Collaborate with the sales and technical teams to refine AI solution proposals.

Education Requirements:

• Bachelor’s degree in Computer Science, Geographic Information Systems (GIS), Information Technology, or a related field (or equivalent experience).

Experience Requirements:

• Minimum 4+ years of hands-on experience in GIS system administration, with a focus on ArcGIS Enterprise support.

Responsibilities:

• GIS Infrastructure Management: Implement and maintain GIS infrastructure, including ArcGIS Enterprise installation, configuration, system patching, and troubleshooting.

• Client Engagement: Advise clients on industry best practices and design appropriate architecture patterns for their environments (on-premises, cloud, hybrid).

• System Architecture: Design and implement system architectures, including multi-machine environments, high-availability deployments, and cloud integration.

• Client Training: Lead technical trainings, develop standard operating procedures, and create demo materials to enhance client GIS proficiency.

Education Requirements:

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

Experience Requirements:

• 5+ years of hands-on experience in Python development.

• Extensive experience in end-to-end development of data science and AI products.

• Demonstrated experience in applying LLMs to real-world applications (2+ years preferred).

Responsibilities:

• Solve impactful, large-scale artificial intelligence challenges.

• Research and implement cutting-edge algorithms for real-time data processing.

• Address diverse machine learning tasks, including prediction models, clustering, optimization, and outlier detection.

• Develop and fine-tune LLM models with hands-on experience, including API consumption from platforms like OpenAI, ClaudeAI, and others (2+ years preferred).

Experience Requirements:

• 2+ years of industry experience preferably with some exposure in leading/mentoring development teams in the past.

• Proven track record building large-scale, high-throughput, low-latency production systems with at least 2+ years working with customers, architecting solutions, and delivering end-to-end products.

• 2+ years of experience with design/architecting/optimizing complex Relational DB schemas.

Responsibilities:

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.

• Take ownership of converting requirements into algorithms. Break these down into smaller tasks and work with the team to plan and execute sprints.

• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.

• Review peers PR, mentor others and proactively take initiatives to improve our team's shipping velocity.

Benefits:

• Support for continual learning (free books and online courses)

• Leveling Up Opportunities

Education Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Experience Requirements:

• 5+ years of relevant experience in frontend web development, including proficiency in HTML5, CSS3, ES6+, Typescript, React.js, and related technologies.

• Solid understanding of Object-Oriented Programming, Functional Programming, SOLID principles, and Design Patterns.

Responsibilities:

• Modern Web Development: Proficiency in HTML5, CSS3, ES6+, Typescript, and Node.js, with a strong emphasis on staying up-to-date with the latest technologies.

• TypeScript: Hands on with Generics, Template Literals, Mapped Types, Conditional Types

• Flexible Approach: Based on problem at hand apply appropriate solution while considering all the risks

• Frontend: Extensive experience in React.js and Flux Architecture, along with external state management to build robust and performant web applications.

Experience Requirements:

• 5-7 years of experience with hands-on experience with development of full fledge Systems/Micro-services using Python, or JS programming.

• 3+ years experience having Senior engineering responsibilities.

• 3+ years of people mentorship/leadership experience — managing engineers preferably with good exposure in leading multiple development teams.

Responsibilities:

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.

• Take ownership of converting product insights into detailed engineering requirements.

• Very well verse with solution designing, and documentation (HLD/LLD).

• Developing "Zero Defect Software" with extreme efficiency by utilizing modern cutting-edge tools (ChatGPT, Co-pilot etc).

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.

Responsibilities:

• Work on new features development, RTB tickets.

• Create a design document for any enhancement or feature request in platform.

• Estimate the effort required for building / integrating capabilities, get approval from PM/EM/Architect.

• Create epics / stories for each of work items and detailed plan of action.

• Ensure code coverage, FMEA and end-to-end testing is planned for each feature/enhancement made.

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.

Experience Requirements:

• 8+ years of hands-on experience with PySpark and strong knowledge in Python programming language.

Responsibilities:

• Strong proficiency in developing data solutions using Python (OOP).

• Solid understanding of distributed computing concepts and hands-on experience with PySpark.

• Familiarity with PySpark performance tuning will be an added advantage.

• Familiarity with data warehousing solutions and best practices.

• Proficient in SQL with the ability to optimize queries for performance & proficient in database management and data modelling.

Education Requirements:

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

Experience Requirements:

• 5+ years of experience in building conversational AI systems.

Responsibilities:

• Develop and deploy conversational AI systems, including ChatGPT-style interfaces, for industrial use cases.

• Fine-tune Large Language Models (LLMs) for domain-specific applications.

• Work with cross-functional teams to integrate AI-driven interfaces into existing systems.

• Create intuitive, user-friendly chat interfaces that provide actionable insights from IoT and ML systems.

• Optimize and test conversational models for performance and reliability.

Experience Requirements:

• over 15 years of experience

Responsibilities:

• Lead the design and architecture of complex Oracle solutions, including Oracle ERP, Oracle Cloud, Oracle E-Business Suite, and other Oracle applications.

• Develop comprehensive solution architectures that address business requirements, ensuring scalability, reliability, and security.

• Collaborate with business stakeholders to understand their needs and translate them into effective Oracle solutions.

• Oversee the delivery of large-scale Oracle implementation projects, managing all aspects of the project lifecycle from initiation to closure.

Benefits:

• Health & Commuter Benefits

• Flexible PTO

Education Requirements:

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

Experience Requirements:

• 2-3 years of industry experience developing ETL (Data processing pipeline) to integrate large volumes of data from various sources with a variety of database technologies.

• Experience setting up and managing large data pipelines

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:

• Work within the Data Science team to implement various data pipelines for our end-to-end solutions.

• Provide active input into the design of our data product offerings portfolio and our data dissemination framework.

• Integrate the right tools and methods for data enhancement, data quality, data obfuscation, privacy measurement and enhancement.

• Implement data security and access controls throughout the data pipeline.

• Develop actionable tools for monitoring the health of implemented pipelines and identify and fix issues in real-time.

Education Requirements:

• BSEE or MSEE focused on Digital IC design

Experience Requirements:

• 7+ years of industry experience

• Completed at least 1 complete product design cycle

• Experience with Concept --> Architecture --> RTL --> P&R --> Tapeout --> Silicon Debug / Test --> Product release

Benefits:

• Платформу обучения и развития «Т‑Банк Апгрейд». Курсы, тренинги, вебинары и базы знаний. Поддержку менторов и наставников, помощь в поиске точек роста и карьерном развитии

• Заботу о здоровье. Оформим полис ДМС со стоматологией и страховку от несчастных случаев. Предложим льготное страхование вашим близким

• Возможность работы в аккредитованной ИТ-компании

• Линейку льготных тарифов на продукты Т‑Банка

• Частичную компенсацию затрат на спорт Сервисы для поддержки сотрудника по психологическим, юридическим и финансовым вопросам Три дополнительных дня отпуска в год

Experience Requirements:

• У вас есть опыт разработки ML-моделей с использованием современных DL-фреймворков (Pytorch, Jax/Tensorflow и других) и их применения в продакшене

• Разбираетесь в принципах работы современных алгоритмов машинного обучения

Other Requirements:

• Знаете Python

• Умеете декомпозировать задачу в переиспользуемые и тестируемые библиотеки и компоненты

• Знаете теорию в сфере математики, прикладной статистики, алгоритмов и структур данных

• Готовы изучать научные статьи на английском языке и ставить эксперименты основе прочитанного

• Знаете Linux, Git, Bash и Docker

Responsibilities:

• Изучать научные статьи, генерировать гипотезы, ставить на их основе эксперименты и доносить результат до команды

• Улучшать качество моделей в различных сценариях

• Ускорять работу моделей, применяя современные методы оптимизации и построения архитектуры

• Писать воспроизводимый код, оформлять эксперименты в воспроизводимые пайплайны, включающие разметку и обработку данных, обучение моделей и валидацию системы в целом

Benefits:

• Платформу обучения и развития «Т‑Банк Апгрейд». Курсы, тренинги, вебинары и базы знаний. Поддержку менторов и наставников, помощь в поиске точек роста и карьерном развитии

• Заботу о здоровье. Оформим полис ДМС со стоматологией и страховку от несчастных случаев. Предложим льготное страхование вашим близким

• Возможность работы в аккредитованной ИТ-компании

• Линейку льготных тарифов на продукты Т‑Банка

• Частичную компенсацию затрат на спорт Сервисы для поддержки сотрудника по психологическим, юридическим и финансовым вопросам Три дополнительных дня отпуска в год

Experience Requirements:

• У вас есть опыт разработки ML-моделей с использованием современных DL-фреймворков (Pytorch, Jax/Tensorflow и других) и их применения в продакшене

• Разбираетесь в принципах работы современных алгоритмов машинного обучения

Other Requirements:

• Знаете Python

• Умеете декомпозировать задачу в переиспользуемые и тестируемые библиотеки и компоненты

• Знаете теорию в сфере математики, прикладной статистики, алгоритмов и структур данных

• Готовы изучать научные статьи на английском языке и ставить эксперименты на основе прочитанного

• Знаете Linux, Git, Bash и Docker

Responsibilities:

• Изучать научные статьи, генерировать гипотезы, ставить на их основе эксперименты и доносить результат до команды

• Улучшать качество моделей в различных сценариях

• Ускорять работу моделей, применяя современные методы оптимизации и построения архитектуры

• Писать воспроизводимый код, оформлять эксперименты в воспроизводимые пайплайны, включающие разметку и обработку данных, обучение моделей и валидацию системы в целом

Responsibilities:

• Development of WEB/business applications based on our AI technology