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

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).

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.

Company and project

The company operates with the vision to be the leader in making robots more accessible to anyone, wilt the leading role of the pick-assist market in Japan.

With the recent launch of the company, a product the specialist will be closely working on, is redefined Autonomous Storage and Retrieval Systems, blending top-tier performance with unmatched adaptability. With state-of-the-art technology on multi-robot systems, a strong customer base and the financial backing from industry titans like Goldman Sachs, Sony, they invite a strong specialist to join the team in sculpting the future of robotics.

Responsibilities

• Design and implement perception features for warehouse robots
• Work closely with the hardware team to choose the best sensors and compute for our robots
• Develop proof of concepts to demonstrate the value added by robotic perception to customers
• Work with the team to integrate perception features with the rest of the robotics software stack

Requirements

• Strong background in classical computer vision
• Strong background in robotics software engineering, specifically ROS
• Python and C++ programming skills
• Background in Machine Learning for computer vision
• Demonstrable experience in developing real world computer vision applications
• Solid understanding of algorithms and data structures
• Strong analytical and debugging skills
• Ability to build and deliver hands-on technology, proof of concepts, and demonstrations
• At least 2 years of relevant work experience
• Experience developing in a Linux/Unix environment

Preferred skills

• Able to pick up new technologies on the fly
• Basic familiarity with game engines is a plus
• Willingness to look beyond just perception components and analyse the entire system and suggest improvements
• Good communication skills, able to present their work to non-technical audiences

The project - a platform for creating and publishing content on social media using artificial intelligence tools is looking for a  Data Science Team Leader with a focus on generative models (m/f).

Responsibilities:

— Study and transform data science prototypes.

— Research and implement appropriate ML algorithms and tools.

— Design machine learning systems.

— Develop machine learning applications according to requirements.

— Know the SOTA in the field of generative technologies and be able to reproduce key experiments.

— Develop prototypes based on generative models for multimodal content (text, images, video).

— Develop and implement a pipeline of product integration for successful prototypes.

— Manage a team of machine learners to plan, implement and support new technologic solutions.

— Understand how certain product features impact business results.

Requirements

— Previous experience efficiently conducting research and creating ad hoc generative prototypes.

— Previous experience in the management of RnD teams.

— A strong background in probability theory and statistics, data mining, and machine learning.

— Proficiency in Python and proven experience using popular ML packages (PyTorch, TensorFlow, huggingface,etc).

— Deliver your work to production as a stand-alone microservice.

— Be enthusiastic about DS and stay up to date with SotA Machine Learning algorithms and developments.

— Be eager to help your teammates, share your knowledge with them, and learn from them.

— Be able to write production code.

— Be open to receiving constructive feedback.

— Academic papers at major ML conferences is a plus.

— Experience as a CTO in a start-up is a plus.

Requirements:

• Knowledge of Outlook authentication methods (e.g. OAuth / Graph API)
• Very good Data Engineering / Machine learning engineering skills
• Very good knowledge of Python
• Knowledge of the scikit learn stack
• Good Knowledge of Databricks
• Knowledge of Azure VMs
• Experience in DevOps way of working
• Excellent English language skills, German beneficial
• Analytical and structured thinking to solve complex inquiries
• Ability to work independently, result orientated and very proactively in an agile environment
• Capability of communicating and interacting effectively with product owners and development team in an international environment