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

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.

Benefits:

• Competitive salary and benefits package.

• Opportunities for professional growth and development.

• A collaborative and supportive work environment.

• Flexible working arrangements and work-life balance.

Education Requirements:

• Bachelor's degree in computer science, Information Technology, or a related field.

• Master’s degree or relevant certifications are a plus.

Experience Requirements:

• Minimum of 10 years of experience in IT project management, with a strong background in working with consulting companies.

• Proven experience in managing technical projects using Scrum methodology.

Responsibilities:

• Lead the planning and implementation of technical projects, defining project scope, goals, and deliverables.

• Develop detailed project plans and schedules and manage resources effectively to ensure project milestones are achieved.

• Act as the primary point of contact for clients and stakeholders, managing expectations and maintaining clear communication throughout the project lifecycle.

• Address and resolve any issues or concerns promptly.

• Collaborate with development, QA, and other cross-functional teams to ensure project requirements are understood and met.

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.

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.

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:

• Industry/corporate problem analysis, solution hypothesis formulation

• Cultivating new customers and building relationships with existing customers

• Business strategy planning and business launch

• Alliance strategy planning and business alliance/capital alliance

• Business unit management and organizational management

Responsibilities:

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

Responsibilities:

• Support for advanced technology review/verification

• Support for project formation

• Support after project formation

Responsibilities:

• Consulting services for strategic planning projects such as new business planning and operational reforms through DX for client companies

• Consulting, PM, PMO, and PL duties for execution support to solve and lead client companies' AI/DX issues to success

• PM/PMO/PL duties in introduction projects (PoC, system development, operation improvement, etc.) of our solutions

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

Responsibilities:

• Solving problems and promoting projects (project management) for client companies using our AI technology

• Development and introduction support of business applications using our AI technology

Responsibilities:

• Planning and proposal of marketing DX to client companies utilizing AI

• Data utilization/CDP development/utilization support

• Data design

• Operation PDCA

• Accompanying DX promotion PMO Data analysis using GA, etc.

Education Requirements:

• Bachelor’s degree in Software Engineering, Computer Science, or a related technical field, or equivalent experience.

Experience Requirements:

• 8+ years of software development and deployment experience, preferably in a defence or related industry.

Other Requirements:

• Eligible for Government of Canada Top Secret security clearance.

Responsibilities:

• Travel to customer and partner sites to participate in requirements gathering, software deployment, integration testing, and hands-on support with end-users.

• Work directly with stakeholders, including defense contractors and military personnel, to ensure solutions align with operational requirements.

• Build and manage containerized applications using Docker, Docker Compose, and Kubernetes/OpenShift.

• Deploy, secure, and monitor Linux-based containerized applications, services, and machine learning models in both cloud-hosted and on-premise networks.

• Streamline software installation processes, configurations, and documentation for repeatable, high-quality deployments.

Experience Requirements:

• 3+ years

Responsibilities:

• Architect, develop and maintain scalable systems where our AI agents run, ensuring smooth and efficient performance.

• Work closely with leadership on feature prioritization and strategic roadmap decisions.

• Translate customer feedback into product enhancements, delivering quick prototypes under tight deadlines.

Education Requirements:

• Bachelor of Science (BS) in Computer Science, Information Systems, Business, Technology or a Data related field

Experience Requirements:

• 5+ years of IT experience with in Global IT environments including cloud and third-party outsourced components

• 3+ years of experience architecting, engineering, supporting or developing enterprise IT solutions in hosted and cloud environment

Responsibilities:

• Develop and maintain the organization's enterprise architecture, including its business architecture, information architecture, application architecture, and technology architecture.

• Align the enterprise architecture with the organization's business strategy and goals.

• Design and implement new technology and solutions.

• Ensure that the IT infrastructure is scalable, secure, and reliable.

• Work closely with other departments to ensure that all solutions are integrated and interoperable.

Experience Requirements:

• Strong experience in Big data development

• Extensive experience in the automated software and data pipeline development and deployment flow (CI/CD)

• Hands-on experience in data modeling and creating algorithms that turn data into optimal, practical, and valuable information

Responsibilities:

• Design, build, administer and scale data processing pipelines (batch/streaming) from structured/semi-structured/unstructured types of data sources (CSV, JSON, Parquet, tables, Kafka, etc.)

• Improve scalability, stability, accuracy, speed and efficiency of current data systems

• Responsible for design, building, testing and deployment of new libraries, frameworks for core systems with the high standard of quality

• Work with functional analyst, project manager, product owner and other engineers in an agile way (or project base in some cases) on requirements and deliverable

• Ensure SLA and provide the greatest experience for users by collaborating closely with the Data Operations team.