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:

• Bachelor of Computer Science & Engineering.

Experience Requirements:

• 5+ years of work experience in the software testing domain of which 3 years in automated testing.

Other Requirements:

• Experience in collaborate with other teams & stakeholders.

• Ability to work independently and handle complex tasks with minimal supervision.

• Attention to detail and a focus on writing clean, maintainable code.

• Excellent communication skills for collaboration with cross-functional teams.

• Eagerness to learn and stay updated on the latest coding challenges and technologies.

• Strong analytical and problem-solving skills.

• Experience in working under pressure & quick deadlines.

Responsibilities:

• write efficient, maintainable, and reusable code while utilizing testing frameworks for automated tests, focusing on both functional and non-functional aspects of software testing.

• work closely with cross-functional teams to enhance the testing infrastructure and drive continuous improvement in our software development process.

Education Requirements:

• Bachelor of Computer Science & Engineering.

Experience Requirements:

• 5+ years of work experience in the software testing domain of which 3 years in automated testing.

Other Requirements:

• Experience in collaborate with other teams & stakeholders.

• Ability to work independently and handle complex tasks with minimal supervision.

• Attention to detail and a focus on writing clean, maintainable code.

• Excellent communication skills for collaboration with cross-functional teams.

• Eagerness to learn and stay updated on the latest coding challenges and technologies.

• Strong analytical and problem-solving skills.

• Experience in working under pressure & quick deadlines.

Responsibilities:

• write efficient, maintainable, and reusable code while utilizing testing frameworks for automated tests, focusing on both functional and non-functional aspects of software testing.

• work closely with cross-functional teams to enhance the testing infrastructure and drive continuous improvement in our software development process.

Education Requirements:

• Bachelor of Computer Science & Engineering.

Experience Requirements:

• 5+ years of work experience in the software testing domain of which 3 years in automated testing.

Other Requirements:

• Experience in collaborate with other teams & stakeholders.

• Ability to work independently and handle complex tasks with minimal supervision.

• Attention to detail and a focus on writing clean, maintainable code.

• Excellent communication skills for collaboration with cross-functional teams.

• Eagerness to learn and stay updated on the latest coding challenges and technologies.

• Strong analytical and problem-solving skills.

• Experience in working under pressure & quick deadlines.

Responsibilities:

• write efficient, maintainable, and reusable code while utilizing testing frameworks for automated tests, focusing on both functional and non-functional aspects of software testing.

• work closely with cross-functional teams to enhance the testing infrastructure and drive continuous improvement in our software development process.

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

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.

Education Requirements:

• Master’s or doctorate in mathematics, statistics or computer science

Experience Requirements:

• A combination of mathematical and statistical knowledge, programming expertise, as well as analytical skills including familiarity with ML, software development, Hadoop, Java, data mining/data warehouse, data analysis and Python.

Responsibilities:

• Główny Inżynier ds. Uczenia Maszynowego pełni kluczową rolę w projekcie odpowiadając za kierowanie i nadzorowanie wszystkich aspektów związanych z uczeniem maszynowym i rozwojem oprogramowania.

• Jego głównym zadaniem jest zapewnienie, że algorytmy ML rozwijane są z najwyższą jakością, spójnością i zgodnie z najnowszymi standardami.

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:

• Be proficient in coding languages such as HTML, CSS, JavaScript, and jQuery

• Understand server-side CSS.

• Be experienced with graphic design applications (e.g., Adobe Illustrator)

• Understand the principles of SEO

• Have excellent skills in problem-solving

Education Requirements:

• Computer science, cloud, dockers, devops skills or a related degree;

Experience Requirements:

• Certification (e.g. CCNS, CISSP, MCSE) or similar skills

Responsibilities:

• Inżynier DevOps wykonuje zadania zarówno z zakresu inżynierii oprogramowania, jak i uczenia maszynowego.

• Jego głównym zadaniem jest tworzenie, wdrażanie i monitorowanie infrastruktury niezbędnej do efektywnego rozwijania i wdrażania modeli ML, a także zapewnienie ciągłości pracy i skalowalności rozwiązań.

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.

Education Requirements:

• Bachelor’s degree in computer science, engineering, or related field

Experience Requirements:

• 5+ years of hands-on ML engineering in production environments

• Production ML system architecture and implementation

Responsibilities:

• Architect and implement production ML systems at scale

• Lead MLOps infrastructure decisions and establish engineering best practices

• Design robust ML monitoring and observability solutions

• Build and optimize feature stores and model serving platforms

• Mentor team members on ML engineering practices

Benefits:

• 100% funded healthcare benefits

• Flexible-managed Paid Time Off (PTO)

• Funding for training and education

• Equity

Education Requirements:

• Completed a masters or doctoral degree in psychology, counseling, social work or similar with minimum 5 years experience

Experience Requirements:

• Experience with qualitative clinical coding systems in research or clinical practice

• Demonstrated history of remote work, telecommuting

• Previous supervisory experience

Other Requirements:

• Ability to telecommute (e.g., internet and computer setup)

• Interest in NLP, AI, ML, speech signal processing and other automated systems of assessing human behavior

• Experience with report writing for external stakeholders

• Ability to provide constructive and timely feedback

• Good organizational skills, attentive to details, and able to multitask

• Strong written, verbal, and presentation skills

• Comfort or past experience with Excel or Google Sheets and Slack

• Tolerates ambiguity and has tools for working through those moments of discomfort

• Awareness of the importance of confidentiality and the responsible handling of sensitive data

• Seeks out and integrates constructive feedback

• Brings knowledge of or active interest in learning about cloud-based machine learning systems, including monitoring and automated training (ML Ops)

• Loves all things automation and enjoys figuring out new ways to automate development processes

• At this time, we require that all applicants are eligible to accept employment in the United States.

Responsibilities:

• Serve as Gold Standard annotator for all mpathic labeling manuals and maintain reliability with the labeling team

• Label transcripts as needed across customers using mpathic’s proprietary system.

• Conduct the preparation for and leading of annotation team meetings

• Assign and track completion of annotator assignments

• Assist in the creation of synthetic data and sourcing data resources for mpathic detections