Start a career in QUANT AI

VACANCIES QUANT AI

Welcome to the world of QUANT AI, where innovation becomes a reality and creativity is our main strength! We believe that each member of our team has a unique potential that we strive to develop to the maximum.

We value the freedom of creativity and inspire engineering to fly to the most incredible heights. We do not limit ourselves to limits, but create an environment where ideas turn into innovations, and dreams into revolutionary products.

Also, employees and customers of the company are the main value of QUANT AI. Regardless of where you are - working from the office or from home, we create comfortable conditions for you to reveal your potential and reach the heights you dreamed of.

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Developer of artificial intelligence systems

What to do:
Your task will be to develop and support artificial intelligence systems, including the creation of algorithms, models and infrastructure.

Responsibilities:
Development and implementation of machine learning algorithms for various tasks.
Creating and optimizing machine learning models.
Integration of artificial intelligence systems with existing applications and platforms.
Support and performance optimization of artificial intelligence systems.
Work closely with other developers and teams.

Required knowledge:
Development experience in programming languages such as Python, Java or C++.
Deep understanding of machine learning algorithms and their applications.
Experience with machine learning frameworks and libraries such as TensorFlow or PyTorch.
Knowledge of the basic concepts of artificial intelligence and neural networks.

Knowledge will be a plus:
Experience in working with large volumes of data and their processing.
Knowledge of methods for optimizing and improving the performance of models.
Experience with cloud platforms and infrastructure such as AWS or Azure.
Knowledge of natural language processing or computer vision techniques.

Personal qualities:
Creativity and the ability to think innovatively.
Ability to work in a team and communicate effectively with colleagues.
Responsibility and result orientation.
Readiness to learn and master new technologies.
Ability to analyze and solve complex problems.



Machine learning developer in the field of computer vision

What to do:
Your task will be to develop and optimize machine learning models for image analysis and processing.

Responsibilities:
Development and training of computer vision models for object recognition, image classification and video processing.
Integration of developed models into existing systems and applications.
Optimizing and improving the performance of models on various platforms and devices.
Data analysis, image preprocessing and preparation of training sets.
Testing and evaluation of the quality of models.

Required knowledge:
Excellent understanding of machine learning and deep learning fundamentals.
Knowledge of programming languages such as Python, C++ or Java.
Experience with machine learning libraries and frameworks such as TensorFlow, Keras or OpenCV.
Knowledge of the basics of computer vision and image processing algorithms.

Knowledge will be a plus:
Experience with neural networks for image segmentation and object detection
Knowledge of transfer learning methods for computer vision.
Experience with deep neural networks such as CNN or GAN.
Knowledge of video processing methods and image sequence analysis.

Personal qualities:
Accuracy and attention to detail when working with images.
Ability to think critically and analyze model results.
Communication and ability to work effectively in a team.
The desire for self-development and the study of new methods and technologies in the field of computer vision.
Patience and perseverance in solving complex problems.



Natural Language Processing Engineer

What to do:
Your task will be to develop algorithms and models for natural language processing and analysis, including speech recognition, machine translation, sentiment analysis and other NLP tasks.

Responsibilities:
Development and training of machine learning models for text processing and natural language analysis.
Integration of NLP models in applications and systems.
Analysis and preprocessing of text data.
Assessing the quality of models and their optimization.
Cooperation with other developers and specialists to implement projects.

Required knowledge:
Deep understanding of the fundamentals of machine learning and deep learning.
Knowledge of programming languages such as Python or Java.
Experience with NLP libraries and frameworks such as NLTK, SpaCy or TensorFlow.
Knowledge of text processing methods, classification, information extraction and other NLP tasks.

Knowledge will be a plus:
Experience with machine translation or text generation models.
Knowledge of methods of speech recognition and sentiment analysis.
Experience with pre-trained NLP models such as BERT or GPT.
Knowledge of methods for processing sequences and working with recurrent neural networks.

Personal qualities:
Analytical thinking and the ability to think critically when analyzing texts.
Communication and ability to work effectively in a team.
The desire for self-development and the study of new methods and technologies in the field of NLP.
Accuracy and attention to detail in the processing and analysis of texts.
Ability to adapt to changing project requirements.



Researcher in the field of artificial intelligence

What to do:
Your task will be to conduct research in the field of artificial intelligence, develop new algorithms and models, and participate in academic and industrial projects.

Responsibilities:
Conducting research in the field of machine learning, deep learning and other areas of artificial intelligence.
Development of new algorithms and models based on the latest achievements in the scientific community.
Publication of research results in scientific journals and conferences.
Participation in academic and industrial projects, introduction of new methods and technologies.

Required knowledge:
Extensive knowledge of machine learning, deep learning and artificial intelligence.
High level of knowledge of mathematical and statistical methods used in machine learning.
Experience with programming languages such as Python or R.
Understanding current research trends in artificial intelligence.

Knowledge will be a plus:
Experience with deep neural networks and advanced models such as GAN or Transformer.
Ability to apply optimization methods and optimize models.
Experience with natural language, computer vision, or other specialized areas of artificial intelligence.

Personal qualities:
Strong analytical and problem-oriented skills.
Ability to work on complex tasks and multi-project work.
Excellent communication skills and ability to present research results.
Innovative thinking and the desire for innovation.
Striving for continuous learning and self-development in the field of artificial intelligence.



Analyst for projects in the field of artificial intelligence

What to do:
You will be involved in data analysis, development of algorithms and artificial intelligence models for company projects.

Responsibilities:
Analyze data and conduct statistical research.
Develop and apply machine learning algorithms and models.
Optimize and test algorithms based on the results obtained.
Cooperate with other team members to successfully complete projects.

Required knowledge:
Experience with data analysis and statistical methods.
Knowledge of programming languages such as Python, R or Java.
Understanding the basics of machine learning and artificial intelligence algorithms.

Knowledge will be a plus:
Experience in working with large volumes of data and their processing.
Knowledge of machine learning frameworks such as TensorFlow or PyTorch.
Experience with databases and SQL.

Personal qualities:
Analytical thinking and ability to solve complex problems.
Organizational skills and attention to detail.
Communication and ability to work in a team.
Persistence and desire for self-development in the field of artificial intelligence.



You will be responsible for the successful implementation of artificial intelligence in the company's projects and systems.

What to do:
You will be responsible for the successful implementation of artificial intelligence in the company's projects and systems.

Responsibilities:
Identify potential applications of artificial intelligence.
Develop strategies for introducing artificial intelligence into existing projects and business processes.
Manage artificial intelligence projects, monitor their implementation and coordinate the work of the team.
Analyze and evaluate the effectiveness of implemented solutions based on the collected data.

Required knowledge:
Understanding the principles of work and the possibilities of artificial intelligence.
Experience in project management.
Knowledge of software development and implementation methodologies.

Knowledge will be a plus:
Understanding the basic algorithms and models of machine learning.
Experience with artificial intelligence technologies and frameworks.
Knowledge of analytical tools and data processing methods.

Personal qualities:
Leadership skills and ability to manage projects and teams.
Analytical thinking and the ability to make decisions.
Communication skills and the ability to effectively interact with various stakeholders.
Responsibility and result orientation.



Senior Fullstack AI Developer with Python knowledge

What to do:
Your task will be to develop neural networks, artificial intelligence models, services built on artificial intelligence, implement AI in existing companies and services, as well as refine and analyze existing AI technologies.

Responsibilities:
Development and implementation of artificial intelligence, including neural networks, models and algorithms.
Creation of services and applications based on artificial intelligence, including chat bots and automation systems.
Introduction of artificial intelligence in the company, bringing innovation and optimizing processes.
Refining and analyzing existing AI technologies to improve their effectiveness.
Collaboration and communication with developers, data scientists and project teams.
Compliance with deadlines and quality standards in the implementation of projects.
Research and self-development in the field of artificial intelligence, constant updating of knowledge and following new trends and methods.

Required knowledge:
Python, django.
Java script.
React.
Redux.
Type script.
Html, Css.
Work experience with rest api.
scss preprocessor.
JQuery.
Git.
Npm.
Good knowledge of the Keras library.
Good at explaining and answering questions.
It's good to be on camera.
Programming experience in the past.
Technical education preferred.

Knowledge of the main areas of application of neural networks:
Auto encoders.
Working with images (segmentation, generation, Object Detection).
Working with texts and audio.
Reinforcement learning.

Knowledge will be a plus:
Pandas.
TensorFlow.
PyTorch.
Web3.
Understanding figma.

Personal qualities:
Creativity and the ability to think innovatively.
Ability to work in a team and communicate effectively with colleagues.
Responsibility and result orientation.
Readiness to learn and master new technologies.
Ability to analyze and solve complex problems.




About cooperation and payment:
Timely payment of working time.
Timely payment of working time.
Up to 15% monthly bonus for completed tasks on time.
Official employment is possible after the probationary period.
Flexible working hours, as well as flexible start of the working day.
Remote work with quarterly offline meetings.

About growth and development:
Individual career development plan at will.
High-quality onboarding based on cases and competencies of the company.
Free English tuition.
Bonuses for reading professional literature and taking professional courses.
50% compensation for professional certification and training of your choice

About bonuses and atmosphere:
Paid sports (even at home)
20% Coverage for health expenses after probationary period.
The opportunity to open your own offline development office at the expense of the company after the 1st year of cooperation.
Funny brainstorms.
Constant communication in the work chat.