Актуальные заказы по Machine Learning

Senior Machine Learning and Image Processing Specialist

Удаленно

Project description

Looking for a highly skilled Senior Machine Learning and Image Processing Specialist to join our innovative team. This role requires extensive experience in graphics, including 3D graphics, and proficiency in NNs and ML approaches for graphics processing. The successful candidate will lead a team of developers working on cutting-edge projects.


Responsibilities:

- Lead the development team in designing and implementing ML algorithms for image and 3D graphics processing

- Develop and optimize image processing pipelines and 3D graphics algorithms

- Utilize NNs and advanced ML techniques to enhance graphics processing capabilities

- Collaborate with cross-functional teams to implement ML solution

- Conduct code reviews, provide technical mentorship, and ensure best practices in software development

- Stay updated with the latest advancements in machine learning, neural networks, and graphics processing


Must have Skills:

- Solid programming skills in C/C++ and Python

- Proven expertise in ML and image processing techniques

- Big experience with deep learning frameworks (e.g., TensorFlow, PyTorch).

- Extensive experience with 3D graphics and related technologies

- Good knowledge of mathematics and linear algebra

- Strong knowledge of NNs and their application in graphics processing

- Excellent leadership skills with experience in leading development teams

- Strong problem-solving abilities and the capability to work collaboratively in a team environment

- Proficiency in GPU Kernels and their implementation for algorithm optimization


Nice to have:

- Knowledge of computer vision techniques

- Familiarity with cloud platforms and their services related to ML and graphics processing

- Experience with software development best practices, including version control and CI/CD pipelines


Other:

- English: B2 Upper Intermediate

Software Engineer

Удаленно

Task: Test SDK (software development kit) by documentation, run examples, write a report on what was hard/normal/easy, give recommendations for improvement.


Requirements:

- Proficiency in Python, with a solid understanding of object-oriented programming principles.

- Experience working with Linux operating systems, advanced CLI user.

- Proficiency in Bash scripting for automation and task management.

- Experience with Git for version control and collaborative development.

- Experience with Docker for containerization and deployment of applications.

- Hands-on experience running Large Language Models (LLMs) on-premise.

- Proficiency in utilizing NVIDIA GPUs to accelerate model inference and training processes.


Preferred Qualifications:

- Experience with NVIDIA’s TensorRT-LLM or similar frameworks to optimize and deploy LLMs efficiently.

- Familiarity with Kubernetes for orchestrating containerized applications in a clustered environment.


Additional Technical Skills:

- Familiarity with machine learning frameworks such as PyTorch.

- Understanding basic modern ML and DL concepts and Neural Networks architectures.

Senior ML/CV Engineer

Удаленно
Full-time

Company published in 1997, was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now company expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Company's superpower is to deliver all of this under one roof on a global scale.


Responsibilities:

• Design, develop computer vision systems and systems for video analysis.

• Prototype proof-of-concept (POC) solutions for specific computer vision and machine learning problems to validate ideas.

• Lead projects from prototype to production.

• Identify and resolve performance and scalability issues.

• Actively participate in the team’s software development processes.


Requirements:

required experience 5+ years

• Strong experience in computer vision. Hands-on involvement in the development of multiple Computer Vision projects that have been deployed to production.

• Strong foundational understanding of Machine Learning concepts and how they apply to Computer Vision tasks.

• Strong expertise in processing and analyzing image and video data.

• Hands-on experience developing and fine-tuning models for segmentation, pose estimation, and object detection.

• Proficiency with deep learning frameworks such as PyTorch and TensorFlow.

• Excellent object-oriented programming skills, with the ability to write high-performance, production-quality code in Python.

Proficient in English for effective communication.


Start Date:

  • As soon as possible (subject to a thorough review and interview process by Softeq and the client).


Location:

  • 100% remote work; must have the ability to work overlapping hours with Eastern Standard Time (EST).

Data Scientist/Analyst

Удаленно
Full-time

В поиске сильного специалиста на позицию Data Scientist на долгосрочный проект крупной международной компании в сфере коммерческой и элитной жилой недвижимости. 


Задачи:

  • Анализировать и обрабатывать данные. Выявлять аномалии, зависимости, тренды и т.д.;
  • Собирать и актуализировать аналитические дашборды (Power BI, DataLens), визуализировать данные и метрики;
  • Формализовать бизнес-задачи и формировать гипотезы для проведения исследований;
  • Описывать требования по изменению и оптимизации хранения данных;
  • Подбирать и оптимизировать модели машинного обучения для решения бизнес-задач;
  • Презентовать результаты своей работы и исследований.


Мы ожидаем от тебя:

  • занимался аналитикой и Data Science более 3-х лет;
  • работал в команде, коммуникабелный и стрессоустойчивый;
  • хочешь глубоко разбираться в данных и учиться новому;
  • работал с задачами от бизнес-заказчика.


Умения и навыки:

  • уверенно пишешь на Python и SQL;
  • имеешь хорошие навыки работы с таблицами (excel, google);
  • умеешь применять ML в прикладных бизнес-задачах;
  • умеешь выдвигать аналитические и продуктовые гипотезы, знаешь как правильно организовать и провести эксперимент, и интерпретировать результаты;
  • знаешь статистику;
  • есть опыт работы с нейросетью, генеративными моделями машинного обучения.