SevenPro

Joined in 2019
100% answers
SevenPro - Українська IT компанія, яка займається розробкою програмного забезпечення вже понад 5 років. За цей час ми виконали більше ніж 50 проєктів для замовників з різних куточків світу, серед них: США, Європа (Німеччина, Данія, Бельгія), Ізраїль та навіть Саудівська Аравія і Японія.

Завдяки роботі з міжнародними стартапами та компаніями ми маємо значну та сучасну експертизу в Healthcare, AI, NLP, Digital Marketing, Fintech, Logistics та Agriculture.

Зараз наша команда працює у різних містах та країнах. На більшості проєктів наші фахівці працюють безпосередньо з клієнтами та повністю інтегровані в їхні процеси, що робить такі проєкти довготривалими та допомагає будувати тісні та довірчі відносини. Так само ми працюємо над проєктами, де ми маємо власний менеджмент та втілюємо у життя проєкти «від ідеї до результату».

Чекаємо на Ваше CV, можливо саме Вас не вистачає в нашій команді!
  • · 35 views · 0 applications · 28d

    Senior Vulnerability Researcher

    Countries of Europe or Ukraine · 3 years of experience · Upper-Intermediate
    About you: We are looking for a proficient Vulnerability Researcher to work in the cybersecurity field. If you are interested in making a difference and being part of an exciting project, please apply with your CV. About project: Our new client develops...

    About you:

    We are looking for a proficient Vulnerability Researcher to work in the cybersecurity field. If you are interested in making a difference and being part of an exciting project, please apply with your CV.

     

    About project:

    Our new client develops a cyber security project for the US government. You will have the opportunity to contribute to the security of the United States.

     

    Your area of responsibility:

    - Detect and exploit vulnerabilities;

    - Build scripts and software modules to verify the presence of vulnerabilities;

    - Reverse-engineer vulnerability patches in order to better understand certain vulnerabilities;

    - Assist in the development of tools to improve vulnerability or threat research.

     

    Skills and requirements:

    - Proven experience in vulnerability exploitation and fuzzing;
    - Extensive experience (3+ years) in reverse engineering;
    - Knowledge of OS internals (any OS);
    - Recent knowledge of exploitation techniques (iOS/Android/Windows/Linux/embedded).

     

    Will be a plus:

    - Academic degree in Computer Sciences/Mathematics/Physics;

    - Proven record (CVEs or verbal description) of found vulnerabilities in mobile/desktop OSes;

    - Good interpersonal skills.

     

    We offer:

    - Висококласні робочі умови: спільнота першокласних інженерів, близько 90% нашої команди це Middle та Senior; цікаві та довгострокові проєкти у різних сферах; можливість змінити проєкт в разі необхідності;

    - Конкурентна ринкова компенсація в валюті (не в гривневому еквіваленті), яка виплачується без затримок;

    - Власний план розвитку та регулярні перегляди компенсації;

    - Оплачувані відпустки (20 днів) та лікарняні дні (5 днів);

    - Всі державні свята за Українським законодавством є вихідними;

    - Можливість працювати з будь-якою точки світу — ми знайдемо юридичний варіант, допоможемо легалізуватися або проконсультуємо з цього питання.

    - Бухгалтерський супровід;

    - Юридична підтримка в межах України;

    - Повноцінна HR-підтримка та турбота.

    More
  • · 41 views · 4 applications · 17d

    Vulnerability Researcher to $7000

    Worldwide · 3 years of experience · Upper-Intermediate
    About project Our new client develops a cyber security project for the US government. You will have the opportunity to contribute to the security of the United States. Your area of responsibility -Detect and exploit vulnerabilities; -Understand the...

    About project

     

    Our new client develops a cyber security project for the US government. You will have the opportunity to contribute to the security of the United States.

     

     

    Your area of responsibility

    -Detect and exploit vulnerabilities;

    -Understand the technical details of the published vulnerabilities as well as their real risk;

    -Build scripts and software modules to verify the presence of vulnerabilities;

    -Effectively communicate the vulnerability impact;

    -Reverse-engineer vulnerability patches in order to better understand certain vulnerabilities;

    -Assist in analyzing data from internet scanning tools in order to validate its accuracy;

    -Assist in the development of tools to improve vulnerability or threat research.

     

    Skills and requirements

    -Proven experience in vulnerability exploitation;

    -Extensive experience (3+ years) in reverse engineering (optionally);

    -Knowledge of OS internals (any OS);

    -Recent knowledge of exploitation techniques (iOS/Android/Windows/Linux/embedded).

     

    Will be a plus

    -Academic degree in Computer Sciences/Mathematics/Physics;

    -Proven record (CVEs or verbal description) of found vulnerabilities in mobile/desktop OSes;

    -Good interpersonal skills.

     

    We offer

    -Working in a team of talented and passionate engineers;

    -Opportunity to work with the most trending technologies;

    -Long-term enjoyable cooperation;

    -Personal legal support;

    -Payable vacation and sick days;

    -Competitive salary depending on your own talents;

    -Regular performance & career development reviews;

    -Team building events.

    More
  • · 42 views · 13 applications · 28d

    Senior Machine Learning Engineer

    Countries of Europe or Ukraine · 5 years of experience · Upper-Intermediate
    About you: We are hiring an experienced Machine Learning Engineer to join our team. This specialist will be responsible for refactoring our ML codebase, integrating new infrastructure, and developing reusable modules. Working closely with our data science...

    About you:

    We are hiring an experienced Machine Learning Engineer to join our team. This specialist will be responsible for refactoring our ML codebase, integrating new infrastructure, and developing reusable modules. Working closely with our data science and engineering teams, the Machine Learning Engineer will play a key role in enhancing the maintainability, scalability, and performance of our ML systems.


    About project:

    Join our client’s innovative team, working at the forefront of agricultural technology. They are dedicated to developing cutting-edge solutions that combine IoT and AI to optimize processes in smart agriculture. The core objective of this project is to monitor and improve crucial natural processes, thereby enhancing efficiency and sustainability in the agricultural sector.


    Our client’s ML infrastructure processes data from IoT sensors placed in beehives to monitor temperature, humidity, and other environmental factors. This data is used to create predictive models focused on colony health, queen problems, and pollination efficiency. By leveraging real-time data and advanced technologies, the platform helps to drive better outcomes for food production and biodiversity, making a tangible impact on global food systems. The team is looking for someone who can help improve the underlying architecture of these systems while maintaining their functionality and accuracy.


    Your area of responsibility:

    • Restructuring and optimizing existing Machine Learning code to enhance its readability, ease of maintenance, and performance, all while ensuring core functionality is preserved.
    • Integrating ML models and their associated pipelines with recently developed infrastructure elements to guarantee smooth operation and compatibility.
    • Designing and implementing reusable Machine Learning modules intended for common tasks such as preparing data, engineering features, and training or evaluating models.
    • Developing and deploying both unit and integration tests to uphold code quality standards and confirm reliability.
    • Identifying and putting into practice improvements aimed at boosting model performance, increasing efficiency, and supporting scalability.
    • Collaborating effectively with colleagues who are not located in the same place, offering guidance and participating in code review processes to receive feedback.


    Skills and requirements:

    • A minimum of 5 years’ professional experience in software engineering, with a strong focus on Machine Learning systems.
    • Demonstrated high proficiency in Python and essential ML libraries (such as TensorFlow, PyTorch, and scikit-learn).
    • A proven history of successfully refactoring complex existing codebases without compromising original functionality.
    • Experience in the design and deployment of software components and libraries intended for reuse.
    • Familiarity with standard ML pipelines, including processes for handling and deploying data.
    • Knowledge of fundamental software engineering practices, such as managing versions, testing code, and creating documentation.
    • Experience working with systems that are distributed and software stacks that are cloud-based.
    • Strong capabilities in solving problems, with a focus on creating solutions that are practical and easy to maintain over time.


    Will be a plus:

    • Practical experience with MLOps tools and common practices in that field.
    • Understanding and experience with technologies used for containerization and orchestration (like Docker or Airflow).
    • Familiarity with continuous integration/continuous deployment (CI/CD) pipelines specifically for ML systems.
    • Experience using tools designed for data versioning.
    • Exposure to frameworks used for processing data on a large scale.
    • Experience working effectively with teams that are geographically dispersed and in roles such as consulting or contract work.

     

    We offer:

    - Висококласні робочі умови: спільнота першокласних інженерів, близько 90% нашої команди це Middle та Senior; цікаві та довгострокові проєкти у різних сферах; можливість змінити проєкт в разі необхідності;

    - Конкурентна ринкова компенсація в валюті (не в гривневому еквіваленті), яка виплачується без затримок;

    - Власний план розвитку та регулярні перегляди компенсації;

    - Оплачувані відпустки (20 днів) та лікарняні дні (5 днів);

    - Всі державні свята за Українським законодавством є вихідними;

    - Можливість працювати з будь-якою точки світу — ми знайдемо юридичний варіант, допоможемо легалізуватися або проконсультуємо з цього питання.

    - Бухгалтерський супровід;

    - Юридична підтримка в межах України;

    - Повноцінна HR-підтримка та турбота.

    More
  • · 70 views · 5 applications · 24d

    Machine Learning Engineer

    Full Remote · Countries of Europe or Ukraine · 5 years of experience · Upper-Intermediate
    About you: We are hiring an experienced Machine Learning Engineer to join our team. This specialist will be responsible for refactoring our ML codebase, integrating new infrastructure, and developing reusable modules. Working closely with our data science...

    About you:

    We are hiring an experienced Machine Learning Engineer to join our team. This specialist will be responsible for refactoring our ML codebase, integrating new infrastructure, and developing reusable modules. Working closely with our data science and engineering teams, the Machine Learning Engineer will play a key role in enhancing the maintainability, scalability, and performance of our ML systems.

     

     

    About project:

    Join our client's innovative team, working at the forefront of agricultural technology. They are dedicated to developing cutting-edge solutions that combine IoT and AI to optimize processes in smart agriculture. The core objective of this project is to monitor and improve crucial natural processes, thereby enhancing efficiency and sustainability in the agricultural sector.

    Our client's ML infrastructure processes data from IoT sensors placed in beehives to monitor temperature, humidity, and other environmental factors. This data is used to create predictive models focused on colony health, queen problems, and pollination efficiency. By leveraging real-time data and advanced technologies, the platform helps to drive better outcomes for food production and biodiversity, making a tangible impact on global food systems. The team is looking for someone who can help improve the underlying architecture of these systems while maintaining their functionality and accuracy.

     

     

    Your area of responsibility:

     

    • Restructuring and optimizing existing Machine Learning code to enhance its readability, ease of maintenance, and performance, all while ensuring core functionality is preserved.
    • Integrating ML models and their associated pipelines with recently developed infrastructure elements to guarantee smooth operation and compatibility.
    • Designing and implementing reusable Machine Learning modules intended for common tasks such as preparing data, engineering features, and training or evaluating models.
    • Developing and deploying both unit and integration tests to uphold code quality standards and confirm reliability.
    • Identifying and putting into practice improvements aimed at boosting model performance, increasing efficiency, and supporting scalability.
    • Collaborating effectively with colleagues who are not located in the same place, offering guidance and participating in code review processes to receive feedback.

     

    Skills and requirements:

    • A minimum of 5 years' professional experience in software engineering, with a strong focus on Machine Learning systems.
    • Demonstrated high proficiency in Python and essential ML libraries (such as TensorFlow, PyTorch, and scikit-learn).
    • A proven history of successfully refactoring complex existing codebases without compromising original functionality.
    • Experience in the design and deployment of software components and libraries intended for reuse.
    • Familiarity with standard ML pipelines, including processes for handling and deploying data.
    • Knowledge of fundamental software engineering practices, such as managing versions, testing code, and creating documentation.
    • Experience working with systems that are distributed and software stacks that are cloud-based.
    • Strong capabilities in solving problems, with a focus on creating solutions that are practical and easy to maintain over time.

     

    Will be a plus:

    • Practical experience with MLOps tools and common practices in that field.
    • Understanding and experience with technologies used for containerization and orchestration (like Docker or Airflow).
    • Familiarity with continuous integration/continuous deployment (CI/CD) pipelines specifically for ML systems.
    • Experience using tools designed for data versioning.
    • Exposure to frameworks used for processing data on a large scale.
    • Experience working effectively with teams that are geographically dispersed and in roles such as consulting or contract work.

     

    We offer:

    - Висококласні робочі умови: спільнота першокласних інженерів, близько 90% нашої команди це Middle та Senior; цікаві та довгострокові проєкти у різних сферах; можливість змінити проєкт в разі необхідності;

    - Конкурентна ринкова компенсація в валюті (не в гривневому еквіваленті), яка виплачується без затримок;

    - Власний план розвитку та регулярні перегляди компенсації;

    - Оплачувані відпустки (20 днів) та лікарняні дні (5 днів);

    - Всі державні свята за Українським законодавством є вихідними;

    - Можливість працювати з будь-якою точки світу — ми знайдемо юридичний варіант, допоможемо легалізуватися або проконсультуємо з цього питання.

    - Бухгалтерський супровід;

    - Юридична підтримка в межах України;

    - Повноцінна HR-підтримка та турбота.

     

    More
  • · 59 views · 7 applications · 12d

    AI/ML Engineer (short term)

    Part-time · Full Remote · Ukraine · 3 years of experience · Upper-Intermediate
    Short term or part-time possible! We are seeking an experienced and driven Machine Learning Engineer to join an international team building a next-generation AI-native cybersecurity platform. The ideal candidate is passionate about machine learning and...

    Short term or part-time possible!
    We are seeking an experienced and driven Machine Learning Engineer  to join an international team building a next-generation AI-native cybersecurity platform. The ideal candidate is passionate about machine learning and software engineering, capable of designing scalable ML pipelines and deploying real-time intelligent systems in production environments.

    About project: 
    Join the development of a cloud-native XDR platform that redefines threat detection and response. The system processes real-time sensor data via a scalable streaming stack using technologies like ClickHouse, Redpanda, Vector, Airflow, and Qdrant. It enables fast experimentation, semantic retrieval, and hybrid search with embedded LLMs—offering a dynamic space at the crossroads of cybersecurity, machine learning, and modern MLOps.


    Your area of responsibility: 
    - Designing and maintaining ML pipelines for anomaly detection, clustering, and classification;
    - Developing and fine-tuning models like Isolation Forest and Latent Mixture Models;
    - Leveraging Python ML libraries (scikit-learn, pandas, numpy, pyod) for preprocessing and evaluation;
    - Integrating vector search and RAG systems with llama_index and vector databases (Qdrant, FAISS, Pinecone);
    - Collaborating with MLOps engineers on deploying and monitoring models;
    - Processing large CSV datasets in distributed environments;
    - Participating in code reviews and design discussions to ensure robustness and maintainability.

    Skills and requirements:
    - Strong Python skills with hands-on experience in scikit-learn, pandas, numpy, and pyod;
    - Skilled in unsupervised learning and anomaly detection;
    - Knowledge of TCP/IP networking and feature engineering from packet and flow data;
    - Experience with LLM augmentation tools and vector databases (e.g., llama_index, Qdrant, FAISS, Pinecone);
    - Familiar with deploying ML models in containerized/cloud environments (Kubernetes a plus);
    - Solid grasp of software engineering best practices: version control, testing, modular design, documentation;
    - Background in distributed systems and cloud-based deployments.
     

    Will be a plus:
    - Experience with CI/CD pipelines and MLOps tools;
    - Knowledge of orchestration frameworks like Apache Airflow;
    - Familiarity with data versioning and large-scale data processing frameworks;
    - Prior experience in contractor or remote roles.
     

    We offer:

    - Висококласні робочі умови: спільнота першокласних інженерів, близько 90% нашої команди це Middle та Senior; цікаві та довгострокові проєкти у різних сферах; можливість змінити проєкт в разі необхідності;

    - Конкурентна ринкова компенсація в валюті (не в гривневому еквіваленті), яка виплачується без затримок;

    - Власний план розвитку та регулярні перегляди компенсації;

    - Оплачувані відпустки (20 днів) та лікарняні дні (5 днів);

    - Всі державні свята за Українським законодавством є вихідними;

    - Можливість працювати з будь-якою точки світу — ми знайдемо юридичний варіант, допоможемо легалізуватися або проконсультуємо з цього питання.

    - Бухгалтерський супровід;

    - Юридична підтримка в межах України;

    - Повноцінна HR-підтримка та турбота.

    More
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