Jobs

We are looking for an experienced and driven Game Mathematician to join our client's Game Studio.

What You Will Do:

The Game Mathematician will work closely with the Senior Management and Game Design Teams to develop concepts and statistical documents for unique gambling games. Such games may be traditional video slot games, table games or multiplayer casual-mobile style games that will contain a gambling element. This role will be working collaboratively with the other disciplines of the Games Inc team to ensure that slot games are not only entertaining but also fair and financially viable for the casino. Playing a vital role in balancing the interests of players and the casino while complying with industry regulations. A Game Mathematician will leverage their passion for playing various genres of games as well as developing their expert knowledge of player psychology to help devise unique and engaging Game content. You will help to create and maintain comprehensive documentation, create detailed experience flowcharts, wireframes, and detailed moment-to-moment gameplay experiences with distinct clarity. Additionally, the Game Mathematician will assist in the brainstorming, creation, and review of new game features for the Company’s future product line.

Summary of Responsibilities:

• Collaborate with the slots team to assist in the design and creation of unique gambling games;
• Use mathematical models to create game rules, pay tables and volatility settings;
• Consistently demonstrate an increasing knowledge of the gaming market and an empathy for all player types;
• Help with the Mathematical Analysis of existing and new games to analyse the probability of winning and the expected return to the player for each game. Calculate the house edge and volatility of the games to ensure profitability for the casino. Optimising game parameters to achieve desired player engagement and revenue targets;
• Ensure the integrity of the random number generator (RNG) used in slot games to guarantee fair and unpredictable outcomes;
• Stay up-to-date with gaming regulations and ensure that all games meet legal requirements and standards;
• Collect and analyse data from slot games to make data-driven decisions for game improvements;
• Monitor and interpret player behaviour and game performance to identify areas for enhancement;
• Conduct playtesting and quality assurance to identify and address issues with game mechanics or payouts;
• Ensure that the game provides a satisfying player experience while adhering to the intended mathematical model;
• Maintain detailed documentation of game specifications, mathematical models, and testing results.

What you'll need to have:

• Ability to build a greater knowledge of real money casino games, player psychology and the ability to help in the creation of ideas and designs for specific markets and players;
• Understanding of the basic mathematical fundamentals of gambling games;
• Passion for games and mobile gaming, including an understanding of mobile gambling products and trends;
• Excellent written and verbal communication skills;
• Familiarity with software tools used for game development and analysis;
• Ability to work in a collaborative, multi-team environment, including product managers, engineers, artists, marketing, and support service personnel;
• Good organisational, problem-solving and interpersonal skills.

Other Duties and Responsibilities:

• Participation in team brainstorming;
• Contributing to the review of other designers’ games and concepts;
• Contributing to the evolution of the team’s process and best practices;
• Market and data analysis of current trends;
• Assist with strategising future product plans and lines.

Qualifications:

• Experience designing games, including math or similar products that come into being through various channels, including original concepts, competitively relevant products, and business or market needs;
• Knowledge or experience with various game development pipelines & methodologies;
• Involvement within teams developing products is highly recommended;
• Knowledge about games and/or the casino industry, including the current market landscape
• Experience working with multiple disciplines, including artists, mathematicians, software developers, etc., in creating games or products.

The company offers:

• Flexible working hours;
• Free to work from any location;
• Great work-life balance;
• Company culture of transparency & openness;
• Further opportunities for personal development and influence on product direction.

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

One of the world's largest fashion retailers selling in 215 markets through its online platform or its 6,477 stores in 95 markets. By working closely together as a single company globally focused on the key elements of fashion production – design, manufacture, distribution, and retail.

We are looking for a Data Scientist with a strong analytical mindset and a passion for solving real-world supply chain problems. You will join a cross-functional team focused on optimizing the flow of units from warehouses to stores. This is a high-impact role where your insights and models will directly influence key business operations.

Responsibilities:

• Prepare and clean datasets to enable reliable experimentation
• Develop and fine-tune machine learning models and algorithms
• Test models, analyze outcomes, and generate actionable insights
• Communicate findings to stakeholders through reports and visualizations
• Propose data-driven solutions and optimization strategies

Requirements:

• Proficiency in Python and/or R
• Experience with SQL
• Data Platforms & Tools
• Hands-on experience with Azure Databricks or Snowflake
• Familiarity with building and deploying machine learning pipelines is a strong advantage
• Java experience is a plus
• Education - Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related field

Mathematics & Statistics:

• Solid understanding of multivariable calculus and linear algebra
• Applied knowledge of statistical distributions and hypothesis testing
• Machine Learning
• Practical knowledge of ML techniques: kNN, decision forests, regressions, MLE, time series
• Understanding of model evaluation metrics and performance tuning
• Data Handling & Visualization
• Skilled in managing missing or inconsistent data
• Experience with tools like matplotlib, seaborn, or ggplot2

Nice to Have:

• Experience with deploying ML models into production environments
• Previous work in supply chain or logistics domains

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

One of the world's largest fashion retailers selling in 215 markets through its online platform or its 6,477 stores in 95 markets. By working closely together as a single company globally focused on the key elements of fashion production – design, manufacture, distribution, and retail.

We are looking for a Data Scientist with a strong analytical mindset and a passion for solving real-world supply chain problems. You will join a cross-functional team focused on optimizing the flow of units from warehouses to stores. This is a high-impact role where your insights and models will directly influence key business operations.

Responsibilities:

• Prepare and clean datasets to enable reliable experimentation
• Develop and fine-tune machine learning models and algorithms
• Test models, analyze outcomes, and generate actionable insights
• Communicate findings to stakeholders through reports and visualizations
• Propose data-driven solutions and optimization strategies

Requirements:

• Proficiency in Python and/or R
• Experience with SQL
• Data Platforms & Tools
• Hands-on experience with Azure Databricks or Snowflake
• Familiarity with building and deploying machine learning pipelines is a strong advantage
• Java experience is a plus
• Education - Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related field

Mathematics & Statistics:

• Solid understanding of multivariable calculus and linear algebra
• Applied knowledge of statistical distributions and hypothesis testing
• Machine Learning
• Practical knowledge of ML techniques: kNN, decision forests, regressions, MLE, time series
• Understanding of model evaluation metrics and performance tuning
• Data Handling & Visualization
• Skilled in managing missing or inconsistent data
• Experience with tools like matplotlib, seaborn, or ggplot2

Nice to Have:

• Experience with deploying ML models into production environments
• Previous work in supply chain or logistics domains

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Job Description

• Strong knowledge and proven experience with Machine Learning, Computer Vision and Deep Learning;
• At least 4 years of commercial experience in a related field;
• Self-manageable person, able to work with minimum supervision;
• Technically strong with Python, knowledge of any other programming language will be a plus;
• Proficiency with numpy, scipy, opencv, tensorflow;
• Proven ability design and implement complex algorithms, to work creatively and analytically in a problem-solving environment;
• Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or a related field;
• Strong communication and presentation skills for effective daily communication.

Job Responsibilities

GlobalLogic team has been involved for many years into development, deployment and support of many different areas of the solution. We are now looking for a talented Computer Vision engineer who will join our existing team and help us to grow existing capabilities of the product and add support for new sport types.

Part responsibilities will include

• Active participation in business promotion and grow by proposing new and/or non-standard ideas;
• Apply Machine Learning and Computer Vision technology to solve real problems for the market available product;
• Work on a new algorithm of determining players performance, score identification and others;
• Demo your work to team members and customer.

Department/Project Description

A product is an affordable alternative to traditional broadcast video capture system. We provide a full broadcasting solution for amateurs, broadcasters, sports leagues, clubs, coaches and consumers, offering unique, interactive and immersive viewing experiences.

The AI-based automated production solution provides the sports market with easy and affordable ways to produce and distribute high-quality game, player videos and performance analysis. The system consists of a unique panoramic camera head and standard computers running proprietary algorithms for Panoramic and HD video and camera control.
 
Giving an editing platform for multiple types of athletic events we establish the first end-to-end automated video and data solution in the sports industry. The product revolutionizes sports video with an automated online video editing system that enables coaches to simply and easily access game video break downs, saving them time and hassle. Our range of products include game analysis, game exchange, and video replay. We support all major team sports and caters to every level from youth, high school, college, through professional.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries. 

About the Product:

Our client is a leading SaaS company offering pricing optimization solutions for e-commerce businesses. Its advanced technology utilizes big data, machine learning, and AI to assist customers in optimizing their pricing strategies and maximizing their profits.

About the Role:

As a Data Scientist you’ll play a critical role in shaping and enhancing our AI-driven pricing platform. 

Key Responsibilities:

• Develop and Optimize Advanced ML Models: Build, improve, and deploy machine learning and statistical models for forecasting demand, analyzing price elasticities, and recommending optimal pricing strategies.
• Lead End-to-End Data Science Projects: Own your projects fully, from conceptualization and experimentation through production deployment, monitoring, and iterative improvement.
• Innovate with Generative and Predictive AI Solutions: Leverage state-of-the-art generative and predictive modeling techniques to automate complex pricing scenarios and adapt to rapidly changing market dynamics.

Required Competence and Skills:

• A Master’s or PhD in Computer Science, Physics, Applied Mathematics or a related field, demonstrating a strong foundation in analytical thinking.
• At least 5 years of professional experience in end-to-end machine learning lifecycle (design, development, deployment, and monitoring).
• At least 5 years of professional experience with Python development, including OOP, writing production-grade code, testing, and optimization.
• At least 5 years of experience with data mining, statistical analysis, and effective data visualization techniques.
• Deep familiarity with modern ML/DL methods and frameworks (e.g., PyTorch, XGBoost, scikit-learn, statsmodels).
• Strong analytical skills combined with practical experience interpreting model outputs to drive business decisions.

Nice-to-Have:

• Practical knowledge of SQL and experience with large-scale data systems like Hadoop or Spark.
• Familiarity with MLOps tools and practices (CI/CD, model monitoring, data version control).
• Experience in reinforcement learning and Monte-Carlo methods.
• A solid grasp of microeconomic principles, including supply and demand dynamics, price elasticity, as well as econometrics.
• Experience with cloud services and platforms, preferably AWS.

We are seeking an experienced Data Scientist to build data models and perform advanced analytics for our fintech product. You will analyze large datasets, develop predictive models, visualize results, and support decision-making processes.

Responsibilities:

• Collect, preprocess, and analyze data using modern tools.
• Develop and deploy machine learning models.
• Create visualizations to present findings.
• Collaborate with the team to support strategic decisions.

Requirements:

• 5+ years of experience in Data Science.
• Strong background in mathematics and statistics.
• Proficiency in Python, Pandas, Scikit-learn, SQL.
• Experience with Spark, Hadoop, Tableau is a plus.
• Skills in data analysis and building predictive models.

If you're passionate about working on exciting projects within a dynamic team — we look forward to your application!

About Us

Cherry is a fast-growing market place for buying, selling, leasing, and auctioning commercial vehicles and equipment. We’re building an industry-first valuation engine that helps our users make informed decisions in seconds. Now, we’re looking for a Machine Learning Engineer who can bring strong expertise in data scraping, predictive modeling, and ideally document automation using AI.

Role Overview

We are seeking an experienced ML specialist to build models that predict market prices for trucks and equipment based on auction results, historical sales, and vehicle specifications. This role will also involve setting up automated data pipelines, scraping structured and semi-structured data, and optionally working on generating intelligent reports or documents from data.

Key Responsibilities

• Build and refine price prediction models using data from auction sites, dealership listings, and historical records.
• Design and maintain data scraping pipelines (e.g., BeautifulSoup, Selenium, Scrapy) to gather auction and sale data from multiple public sources.
• Clean, normalize, and store data efficiently for training and inference.
• Apply feature engineering techniques on specs like make, model, mileage, year, VIN, etc.
• Work closely with product and engineering teams to deploy models in production.
• (Optional but valued): Use NLP or generative AI to create documents or listing descriptions automatically.

Requirements

• Proven experience in machine learning with a focus on regression/predictive models.
• Strong Python skills; familiar with tools like Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
• Experience in web scraping (BeautifulSoup, Scrapy, etc.).
• Familiarity with model evaluation metrics for regression (e.g., RMSE, MAE).
• Comfortable working with structured data (CSV, JSON, APIs) and preprocessing pipelines.
• Fluent in Git and version control workflows.
• Experience deploying or working with models in production (FastAPI, Flask, AWS/GCP preferred).

Nice to Have

• Familiarity with automated document generation, AI agents, or LLM APIs (OpenAI, Langchain).

   

Big product software company is looking for a Machine Learning Engineer. Remote work, high salary + financial bonuses (up to 100% of the salary), regular salary review, interesting projects, good working conditions.

REQUIREMENTS:

- Machine Learning experience from 2 years;

- Practical skills with Python;

- Higher education;

- Technical English (higher level is advantage).

COMPANY OFFERS:

- Employment under gig-contract, all taxes are paid;

- Flexible working hours;

- 28 days of paid vacation + 15 days at your own expense;

- Paid sick leave;

- Medical insurance (with dentistry and optics), including the children;

- Opportunity to become an inventor of international patents with paid bonuses;

- Career and professional growth;

- Own base of courses and trainings;

- Office in the Kyiv city centre / remotely;

- Provision of necessary up-to-date equipment;

- Regular salary review and financial bonuses (up to 100% of the salary);

- Bonuses for wedding, birth of children and other significant events;

- Paid maternity leave;

- Paid lunches, tea, coffee, water, snacks;

- Discounts to company's products, services.

Overview

We are seeking a highly skilled and experienced Senior/Lead Computer Vision Engineer specializing in Navigation to join our innovative R&D team. In this pivotal role, you will drive the development and deployment of state-of-the-art computer vision algorithms for autonomous navigation systems, contributing to our efforts in robotics, autonomous vehicles, drones, or similar fields. You will work cross-functionally with engineering, product, and research teams to deliver robust, real-time solutions that enable safe and intelligent navigation in dynamic environments.

Responsibilities

• Lead the design, development, and optimization of computer vision algorithms for localization, mapping, and navigation.
• Develop and implement algorithms for object detection, segmentation, SLAM, 3D scene reconstruction, visual odometry, and sensor fusion (using cameras, LiDAR, IMUs, etc.).
• Guide the integration of computer vision modules with navigation and control systems, ensuring seamless operation in real-world conditions.
• Collaborate with software, hardware, and product teams to define requirements and deliver scalable, robust navigation solutions.
• Stay current with advancements in deep learning, computer vision, and robotics, and introduce relevant state-of-the-art techniques into the product.
• Design and execute experiments to evaluate performance and robustness; analyze results and iterate on solutions.
• Prepare technical documentation, progress reports, and presentations for internal and external stakeholders.

Requirements

• 5+ years of experience in computer vision, preferably in navigation, robotics, or autonomous systems.
• Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or related field.
• Strong proficiency in Python and/or C++.
• Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and classical computer vision libraries (e.g., OpenCV, PCL).
• Experience in deploying and optimizing models for single-board computers such as Raspberry Pi, Nvidia Jetson
• Proven track record of developing and deploying real-time vision algorithms for navigation tasks in challenging environments.
• Extensive knowledge of SLAM, visual odometry, sensor fusion, and related algorithms.
• Experience with ROS, embedded systems, and real-time software development is a plus.
• Excellent problem-solving skills, strong analytical mindset, and effective communication abilities.

Preferred Qualifications

• Knowledge of SLAM and related models.
• Familiarity with the MAVLink protocol and ArduPilot.
• Familiarity with edge computing or real-time GPU-based inference.
• Publications or contributions to the open-source community in vision or robotics.

We are looking for an experienced Machine Learning Engineer to join the innovative project at Samsung Electronics focused on on-device OCR solutions, which will be commercialized for worldwide use. The position involves research, analysis, prototyping, development, and commercialization. The work process will include cutting-edge and state-of-the-art technologies, critical thinking, and the ability to influence and shape the final product.

Responsibilities:
 

• Research and development of NN models
• Porting NN models to NPU
• Participate in code review and contribute to our coding standards and best practices
• Stay up-to-date with the latest Image Processing ML trends

Job Qualification:
 

• BS/MS/Ph.D. in Computer Science/ Software Engineering or a related field
• 3+ years of professional experience in commercial software development
• Experience with TensorFlow or PyTorch for ML models prototyping (visual and/or data series recognition)
• Experience in implementing machine learning algorithms, data processing, NN model performance measuring
• Python for prototyping and/or ML scripts development
• Experienced with Linux

Will be a plus:
 

• Experience in OCR
• Experience in C++ development
• Experience with performance optimization
• Experience with NPU(Neural Processing Unit) and models optimization for on device inference (TFLite, ONNX-runtime, etc...)
• Experience with Tizen SDK
• Experience with OpenCV or similar libraries
• Participation in CV/ML/DL-intensive research (papers, patents, etc...)
• PhD in Computer Science or related field

Working Conditions:
 

• GIG contract
• remote work is possible as well as work in Kyiv office
   

Benefits:
 

• competitive salary, annual salary review, annual bonuses
• paid 28 work days of annual vacations and sick leaves
• opportunity to become an inventor of international patents with paid bonuses
• medical & life insurance for employees and their childrens
• paid lunches
• discounts to Samsung products, services
• regular education and self-development on internal courses and seminars
• hybrid work format, working in office is required for some tasks

Hi there!
At Slotsense, we’re reshaping the iGaming experience using cutting-edge AI technologies. Our mission is to build intelligent, human-like chat experiences that elevate engagement and personalization. We’re looking for a highly skilled AI Expert to take our GPT-powered chatbot to the next level.

You’ll be at the core of our AI system — designing agentic workflows, building and refining AI agents, crafting advanced prompts, and implementing modern techniques like RAG, Langchain, and LLMOps. Strong Python skills are also essential for success in this role.

What you’ll do:
• Design and implement advanced AI workflows and agent-based architectures
• Apply and fine-tune RAG (Retrieval-Augmented Generation) pipelines
• Craft high-quality prompts and experiment with prompt engineering strategies
• Work with Langchain and other LLMOps tools to optimize chatbot performance
• Analyze user behavior to improve system accuracy and naturalness
• Collaborate closely with engineers and product teams to test and deploy improvements
• Stay ahead of trends in LLMs and conversational AI

What we’re looking for:
• Proven experience with GPT or other large language models
• Hands-on experience building AI agents and agentic workflows
• Deep understanding of RAG and its real-world implementation
• Strong Python skills and familiarity with vector databases
• Experience with Langchain and LLMOps best practices
• Excellent English skills for prompt writing and collaboration
• Analytical mindset and proactive approach to experimentation
• Passion for AI and continuous learning

DARLY SOLUTIONS is an international IT company specializing in delivering innovative solutions across FinTech, MedTech, SaaS, etc.
With years of experience in web and mobile development, UI/UX design, Quality Assurance, AI, and machine learning, we pride ourselves on creating impactful products that drive success for our clients.Since 2018,
we have successfully completed over 250 projects.
Examples of our work across various domains can be found on our website
- https://www.darly.solutions/ 

We are looking an experienced Computer Vision specialist to consult on a project involving the detection and classification of subtitle text in video frames. We need your expertise to investigate, advise on, and potentially train AI models for better performance in this domain.
 

Requirements:

- Strong knowledge of Python.

- Experience with OCR and Computer Vision tools such as: EasyOCR, PaddleOCR, Google OCR, YOLO.
 

Nice to Have:

- Prior experience in subtitle or video frame text processing.

- Familiarity with real-time video editing tools.

We are looking for a Data Scientist (NLP & LLMs) to join our team and work on the development of AI-powered solutions using modern NLP, Deep Learning, and multi-agent systems.

Project description:

We are building AI-driven fintech solutions using LLMs, RAG, and autonomous agents to automate compliance, contracts, and risk analysis — streamlining workflows and boosting decision-making with intelligent insights.

Requirements:

• 3+ years of experience as a Data Scientist or in a related role
• Strong knowledge of Deep Learning and Natural Language Processing (NLP)
• Hands-on experience with Large Language Models (LLMs), RAG, and multi-agent systems
• Proficiency in Python and relevant libraries such as PyTorch, TensorFlow, Transformers
• Solid foundation in Computer Science, Mathematics, or Statistics (Bachelor’s or higher)

Responsibilities:

• Develop NLP tools for automated contract generation, review, and compliance analysis
• Build AI agents to generate and update legal documents based on input and regulations
• Implement systems for legal clause classification and risk/highlight detection
• Create pipelines for legal request analysis and decision support (e.g., asset seizure)
• Collaborate with legal teams to fine-tune models and balance AI vs rule-based outputs

Наша компанія активно розвивається і, у зв’язку з цим, ми із задоволенням запрошуємо в свою команду Senior / Middle Data Scientist!

ARGO вже більше 30 років одягає українців в найвідоміші бренди світу. Для нас важливо, щоб кожен покупець знайшов у нас щось для себе, тому і пропонуємо ряд кращих брендів на будь-який смак: Benetton, EQUILIBRI, Jack&Jones, LEE Cooper, Mango, OVS, OXXO, Parfois, Piazza Italia, Timeout, Vero Moda.

Детальніше про нас: https://argo.com.ua/ua/about/

Компанія пропонує:

• Роботу в стабільній компанії;

• Можливість розвиватися професійно;

• Гідну заробітну плату;

• Нормований робочий день;

• Комфортний офіс в центрі міста;

• Цікаві завдання та професійні виклики.

Основні обов’язки на посаді:

• Проектування і реалізація архітектури системи;

• Обробка, підготовка і аналіз даних;

• Розробка і тестування моделей машинного навчання, а також їх впровадження;

• Супровід існуючих моделей;

• Застосування статистичних методів для аналізу і інтерпретації даних, пошук закономірностей та інсайтів для поліпшення якості моделей;

• Автоматизація і шаблонізація завдань, що повторюються;

• Розробка і супровід алгоритмів для рекомендаційних систем;

• Співпраця з кросс-функциональными командами для реалізації рішень;

• Проведення комплексного статистичного аналізу на великих масивах даних для підтвердження правильності прийняття бізнес-рішень.

Наші побажання до кандидата:

• 3+ роки підтвердженого комерційного досвіду;

• 5+ років Python, R і пов’язаних з ним пакетів, таких як Scikit — learn, Shap, Pandas;

• Високий рівень знань в SQL (CTE, window functions);

• Впевненні математичні знання (переважна освіта в області комп’ютерних наук або математики);

• Досвід роботи з великими масивами даних, статистичним аналізом, алгоритмами машинного навчання і розробкою моделей;

• Відмінні комунікативні навички для ефективної взаємодії із зацікавленими сторонами (як технічного так і не технічного характеру).

Перевагою буде:

• Здатність виявляти перспективні сценарії для створення додаткових цінностей у бізнесі;

• Досвід роботи у сфері роздрібної торгівлі;

• Знайомство з фреймворками і бібліотеками штучного інтелекту, такими як TensorFlow, PyTorch або Langchain;

• Досвід роботи з інструментарієм Scientific Python (NumPy, pandas, Scikit — learn, Keras / TensorFlow або PyTorch);

• Досвід роботи з технологіями обробки великих даних, такими як Hadoop, Spark або Hive;

• Досвід проведення статистичних досліджень і A/B- тестування;

• Досвід роботи з інструментами і методами візуалізації даних.

Чекаємо на Ваші резюме з бажаним рівнем заробітної плати!

В команду DataDiscovery шукаємо на розширення Senior Data Scientist. 

Наш ідеальний кандидат має:

- 5+ роки комерційного досвіду розробки.

Навички:

- Python та бібліотеки машинного навчання: TensorFlow, PyTorch;

- Технології Big Data: Kafka, Amazon S3, Spark;

- SQL та аналіз даних: робота з будь-якими джерелами даних (SQL, noSQL, векторні бази даних, column-oriented бази даних , тощо);

- Хмарні платформи: AWS, GCP;

Математична статистика: регресія, розподіл ймовірностей, - перевірка статистичних гіпотез тощо;

- Підходи машинного навчання: регресії, кластеризація, дерева рішень та інші;

- Алгоритми глибокого навчання: transformers, reinforcement learning, autoencoders, diffusion models, тощо;

- Досвід розробки продуктів AI: NLP, CV, Recsys, Generative AI;

- MLOps.

Що потрібно робити:

- Вирішувати продуктові та дослідницькі виклики крутого українського продукту;

- Працювати з реальними даними реальних користувачів;

- Вивчати та впроваджувати складні state-of-the-art алгоритми в області машинного навчання для вирішення практичних задач;

- Оцінювати технічні компроміси по кожному рішенню;

- Працювати в тісному співробітництві з іншими командами для дослідження нових можливостей використання інструментів AI.

Що ми пропонуємо:

- Роботу в стабільній компанії — адже ми понад 10 років на ринку;

- Дійсно цікаві завдання: бери участь у створенні медіасервісу майбутнього;

- Відносини, побудовані на довірі;

- Багато можливостей для розвитку;

- Неймовірно круті корпоративи;

- Безкоштовні уроки англійської мови;

- Заняття з плавання, а також уроки настольного тенісу;

- Корпоративного психолога;

- Для співробітників компанії знижки від брендів партнерів.

Відповідаючи на вакансію і надіславши своє резюме в Компанію (ТОВ «МЕГОГО»), зареєстровану й діючу відповідно до законодавства України, реєстраційний номер 38347009, адреса: Україна, 01011, місто Київ, вул.Рибальська, будинок 22 (далі «Компанія»), ви підтверджуєте та погоджуєтеся з тим, що Компанія обробляє ваші особисті дані, представлені у вашому резюме, відповідно до Закону України «Про захист персональних даних» та правил GDPR.