Jobs

We are looking for an experienced AI Engineer to develop and optimize AI-driven solutions for data-intensive environments for our client - an American pharmaceutical company. In this role, you will work closely with data engineers, business analysts, and domain experts to build scalable AI models, integrate them into the Palantir Foundry workflows, and drive automation across business processes.

Key Responsibilities:

• Develop and deploy AI/ML models using Palantir Foundry and AIP to enhance decision-making and process automation.
• Design and optimize Foundry pipelines, Ontology workflows, and AI-powered applications tailored to business needs.
• Collaborate with data engineers to ingest, clean, and transform large datasets for AI model training and inference.
• Fine-tune LLMs and other AI models within Palantir AIP for enterprise applications.
• Integrate AI models into Foundry workflows and operationalize AI-driven insights.
• Ensure model performance, scalability, and compliance with enterprise security standards.
• Work closely with stakeholders to translate business requirements into AI-driven solutions.

Requirements:

• 3+ years of experience in AI/ML engineering.
• Strong background in Python for data processing and model development.
• Hands-on experience with LLMs, NLP, and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with MLOps, model monitoring, and optimization in a production environment.
• Strong problem-solving skills and ability to work in an agile environment.
• Excellent communication skills to collaborate with technical and non-technical stakeholders.

Nice to Have:

• PySpark
• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

At Uvik Software, we specialize in building dedicated development teams and delivering high-quality software solutions to clients around the world.

🔎 We are seeking a highly skilled  Machine Learning Engineer with expertise in Generative AI to design, develop, and deploy cutting-edge AI solutions. You will work in a collaborative environment, focusing on scalable and high-performance models while ensuring security and compliance with industry standards.

🟣  Responsibilities:
- Develop and optimize Generative AI models (LLMs, GANs, diffusion models) for real-world applications.
- Implement and fine-tune ML/DL algorithms using TensorFlow, PyTorch, Scikit-learn.
- Build scalable AI pipelines and deploy models on AWS, Azure, or GCP.
- Collaborate with internal teams to ensure seamless AI integration.
- Ensure security, compliance, and best practices in AI model development.
- Participate in Agile development, CI/CD, and DevOps workflows.

🔹 Requirements:

• Strong hands-on experience in Machine Learning, Deep Learning, and NLP.
• Strong understanding of Generative AI: LLMs (e.g., GPT, BERT), GANs, Variational Autoencoders, and diffusion models.
• Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Expertise in cloud-based ML deployment (AWS, GCP, or Azure).
• Experience with MLOps, CI/CD, and Agile methodologies.
• Strong problem-solving skills and ability to work in a collaborative environment.
• English: Upper-Intermediate or higher
   

☑️ We Offer: 

• 18 vacation days and 12 sick leaves per year
• Top Equipment: MacBook Pro + Dell Monitor
• Flexible Schedule: Maintain work-life balance with adaptable hours
•  Work on cutting-edge technologies with real-world applications
• Career Growth: Opportunities for long-term engagements and professional development

• Competitive Salary: Based on experience and value brought to the team
   

  🦾 Interested? Let’s build the future of AI together.

Job Description:

• 5-6 years of commercial experience, including at least 3 years in a related field;
• Strong knowledge and proven experience with Machine Learning, Computer Vision and Deep Learning;
• Technically strong with Python and/or other relevant programming experience;
• Ability to design and implement complex algorithms;
• Proficiency with numpy, scipy, opencv, tensorflow;
• Self manageable person, able to work without supervision;
• Experience in a field related to video analysis and/or processing;
• Strong communication skills with Upper-Intermediate English level.
  
  Job Responsibilities
• We are seeking an experienced Senior Computer Vision Developer to join a collaborative initiative with our client's team, aimed at advancing and maintaining multiple real-time systems that leverage computer vision technologies. In this role, you will integrate seamlessly with both our internal team and the client's, contributing to a unified approach for enhancing system capabilities.

• Your key responsibilities will involve developing and optimizing computer vision models, addressing existing bugs, and implementing new features that enhance system performance across various applications. You will be instrumental in supporting and evolving these systems to meet new challenges, working within a cross-functional team and contributing to a shared backlog.

   

Project Description

• Our client runs one of the most popular amusement parks in the world. The safety of their guests and cast members is the key to providing a seamless entertainment experience and our client was looking for ways to leverage the latest technology to take safety to the next level.
  
  GlobalLogic helps the client create a flexible real-time AI-based attraction monitoring system to detect, alert, and record any discrepancy between the number of people detected by an overhead camera and the number of occupied seats from the seat sensor indicator lights.

About the Role

We are seeking a talented Data Scientist to join our Product Analytics team. 
 

This role involves leveraging analytical expertise and machine learning skills to develop predictive models and innovative data-driven solutions. Your contributions will have a direct impact on critical areas such as pricing optimization, customer segmentation, and expert matching. If you are passionate about applying AI to solve real-world challenges and driving meaningful business outcomes,

What You’ll Do:

• As an individual contributor, provide analytical thought leadership to drive strategy, suggest new analyses, statistical/ML frameworks, testing methods and infrastructure improvements to drive value for the business.
• Collaborate with stakeholders to define problem statements, develop new signals using JA data incl. conversational data, develop hypotheses and translate them into analytical solutions and actionable insights presented to wider audiences.
• Perform both Descriptive & Prescriptive Analytics including experimentations (AB, MAB), implement and track trends in business metrics that will help drive the business
• Own outcomes of deep dive analyses, by covering problem definition, metrics development and implementation, data extraction, visualization and presentation to the stakeholders
• Develop machine learning models to solve business problems related to customer segmentation, customer retention, conversation quality, and revenue optimization.
• Become a go to AI/ DS expert who directly and indirectly oversees the model development and advanced statistical work of other analysts.
• Test, validate, and optimize models to ensure performance and scalability.

What We’re Looking For:

• Experience: 2-5 years in data science or product analytics roles focused on model development.
• Technical Skills:
• Proficiency in SQL and Python; experience with BigQuery preferred.
• Strong programming abilities, including familiarity with ML libraries such as TensorFlow, PyTorch, or Keras.
• Hands-on experience with statistical methods and machine learning techniques, including regression, classification, clustering, time series analysis, and frameworks like Naive Bayes, XGBoost, and neural networks.
• Basic knowledge of NLP, computer vision, or reinforcement learning.
• Analytical Expertise: Strong foundation in descriptive and inferential statistical analysis, as well as advanced experimental design.
• Education: Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Mathematics, Econometrics, or Statistics.

Preferred Qualifications:

• Experience in e-commerce, product, or retail analytics.
• Proficiency in NLP and text analytics techniques.
• Familiarity with large language models (LLMs) and prompting.

• Understanding of CI/CD pipelines for machine learning model deployment.

   

Perks and Benefits

• Time off throughout the year (paid and unpaid)
• Professional development support and encouragement
• Resources to help improve your overall well-being
• Free membership to dive into JA product

Position Overview

We are seeking an experienced Data Scientist/ML Engineer specializing in neural networks, with 3+ years experience in the applied field. The ideal candidate should be a great mentor and team player; python ninja with a strong background in various neural network architectures (recurrent, convolutional, feedforward, etc.) and a deep understanding of developing, tuning, and deploying different architectures. This role also requires excellent Python programming skills and a solid foundation in data analysis and statistics. If you strive in a fast pace environment, with tight deadlines but fast professional growth, you are welcome in our team!

Key Responsibilities:

• Create statistical summaries to support hypothesis testing and data-driven decisions during EDA
• Implement data preparation and feature engineering pipelines for the models
• Plan and implement algorithms for predictive modeling.
• Provide continuous improvement of models in production
• Lead the ML-driven python coding for end to end model deliveries, support our ML-related libraries/
• Collaborate with a cross-functional team of specialists, including senior and junior data scientists, Python developers and ML engineers, data analysts, and DevOps specialists.
• Provide expertise in tuning loss functions, metrics, sample weights adjustment, hyperparameter tuning and model improvement in general.
• Generate detailed evaluation reports, summarizing key findings and presenting actionable insights to stakeholders.
• Keep up with tight deadlines, agile environment of work with evolving objectives and KPIs, having the highest level of organisation and self management to provide a full work clarity, extensive tracking and documentation of your work.

Required Skills and Qualifications:

• Minimum of 3 years of professional experience as a Data Scientist or Machine Learning Engineer.
• Proficient in building custom neural networks using PyTorch.
• Strong experience with various neural network architectures specialised for time-series modelling and tabular data predictive modelling 
• Proficiency with neural network layers (like LSTM, GRU, Conv1D, Dense, Dropout, BatchNormalization) and activation functions (ReLU, Sigmoid, Tanh, Softmax).
• Experience with time series data, including loading, cleaning, and feature engineering using libraries like pandas, numpy. Knowledge of Darts library would be a large bonus.
• Expertise in model development, including selecting and developing models from the Darts library and building custom neural network architectures.
• In-depth knowledge of Python programming and relevant libraries (e.g., Scikit-learn, Pandas, PyTorch, Shap). We want to emphasize this requirement of excellency in python, including good working OOP knowledge. We do noе accept candidates with partial experience in python, as our projects require solid programming skills for writing and supporting data science related functionalities and libraries
• Solid understanding of statistics and data analysis.
• Skilled in using and tuning loss functions such as MSE, MAE, Cross-Entropy Loss, and custom loss functions relevant to time series forecasting.
• Experience with hyperparameter optimization using libraries like Optuna or Hyperopt.
• Capable of implementing and optimizing training loops in PyTorch, including data loaders and training validation steps.
• Knowledge of time series-specific cross-validation techniques and regularization methods to prevent overfitting.
• Strong skills in evaluating model performance using metrics like MSE, RMSE, MAE, MAPE, and R-squared.
• Familiarity with backtesting functionalities for validating model performance.
• Experience in model deployment, including serialization and deployment of models for real-time services.
• Strong communication skills for presenting findings and progress to stakeholders, using visualizations created with matplotlib, seaborn, or plotly.
• Proficiency in using Git for version control and collaboration.
• Major education in Data Science, Computer Science, or a related field IS A MUST. We do not accept people with other backgrounds.
• Certifications in deep learning are preferred.
• Excellent command of spoken and written English.
• Strong self-management, time management, and organizational skills.

• Ability to work under a structured management system while independently handling creative tasks.

   

What We Offer:

• Competitive remuneration package.
• Bonuses
• Professional mentorship and guidance from experienced team members.
• Opportunities for professional growth and continuous learning.
• A dynamic and collaborative work environment.
   

About DataObrii
DataObrii is a high-tech consulting firm specializing in data science, machine learning, and AI-augmented Internet of Things. Our team comprises experienced data scientists, python engineers, devops, hardware electrical engineers, and business analysts dedicated to delivering innovative, data-driven solutions that enhance business intelligence and efficiency. We emphasize continuous improvement, keeping up with current and emerging technologies, and delivering complete timely, effective solutions.

Our Values:

• Efficiency: We employ an agile approach to ensure timely delivery of high-quality solutions. This governs fast delivery cycles, quick and efficient solutions, iteratively going from PoC developments to fully enhanced production systems.
• Professionalism: Our commitment to excellence drives us to achieve success for our clients. This includes both technical and ethical proficiency required from all our employees.
• Creativity: We utilize design thinking to develop innovative solutions that address complex business challenges.
• Care: We invest time in understanding our clients' business models to provide tailored solutions that align with their objectives.
   

В команді 10 дата саєнтистів. Працюють з моделями кредитного скорингу, оцінки ризику ліквідності, колекшну, антифроду, моніторингу.

Основні вимоги

• ОБОВ'ЯЗКОВО 1+ рік комерційного досвіду на аналогічній посаді
• Закінчена вища освіта (фізико-математична, статистика, комп'ютерні науки)
• Скрупульозність, уважність і відповідальність
• Досвід розробки, впровадження та супроводження моделей
• Досвід написання класів, пайплайнів
• Знання Python
• Гарне знання SQL (аналізуємо найбільші з усіх банків бази даних)
• Знання основних алгоритмів ML (класичний ML, регресія, класифікація, прогноз часових рядів)

Буде плюсом

• Досвід роботи у фінтех домені
• Досвід з Amazon Sagemaker, Amazon S3
• Досвід роботи з Git

Основні обов’язки

• Аналіз та валідація даних
• Розробка та впровадження моделей оцінки ризиків, які відповідають кращим світовим практикам
• Моніторинг моделей, забезпечення відповідної якості

Своїм співробітникам ми пропонуємо

• Роботу в найбільшому та інноваційному банку України
• Офіційне працевлаштування та 24 календарних дні відпустки
• Компенсацію лікарняних
• Конкурентну заробітну плату
• Бонуси, премія відповідно до політики компанії
• Медичне страхування 
• Корпоративне навчання
• Можливість віддаленого формату роботи
• Корпоративну фінансову допомогу у критичних ситуаціях

High-Tech software company is looking for a Data Scientist / Machine Learning Engineer. Remote work, high salary + financial bonuses, interesting projects, good working conditions.

REQUIREMENTS:

- DS/ML experience from 3 years;

- Practical skills with time series modelling / tabular data / predictive modelling;

- Expertise in Python;

- Higher education is advantage;

- English – Upper-Intermediate.

COMPANY OFFERS:

- Employment as a private entrepreneur;

- Working hours from 10:00 to 19:00 (Kyiv time);

- Fully remote work;

- Career and professional growth;

- Financial bonuses.

Job Description

Are you a mathematician with a passion for gaming and a deep curiosity about the intricacies of slot machines? We are seeking a skilled and innovative Slot Mathematician to join our dynamic team. In this role, you will be at the forefront of designing and refining the mathematical foundations that drive our engaging slot games. If you possess a strong mathematical background, a creative mindset, and an enthusiasm for crafting thrilling player experiences, we invite you to apply.

Requirements

• (Currently pursuing education is ok) Bachelor's or Master's degree in Mathematics, Statistics, or a related field.
• Profound understanding of probability theory, statistics, and their applications to gaming mechanics.
• Exceptional problem-solving skills and meticulous attention to detail.
• Effective communication abilities, enabling you to articulate complex mathematical concepts to non-technical team members.
• Genuine enthusiasm for gaming and a desire to innovate within the realm of slot games.

• Strong collaboration skills to work harmoniously with diverse departments.

   

Responsibilities

• Collaborate closely with game designers and developers to conceptualize, create, and iterate on the mathematical models that power our slot games.
• Develop and implement intricate mathematical algorithms governing game mechanics, including payout structures, volatility, and RTP (Return to Player) percentages.
• Perform thorough mathematical analyses to ensure game fairness, excitement, and financial viability.
• Utilize statistical tools and techniques to validate and enhance game mechanics, striving for balance between player enjoyment and profitability.
• Work in synergy with cross-functional teams to seamlessly integrate mathematical models into the game development process.

• Stay abreast of industry trends and emerging concepts in slot mathematics, applying innovative ideas to our game designs.

   

Nice to have

• Demonstrated expertise in mathematical modeling and analysis, ideally within the gaming or casino industry.
• Familiarity with the mathematical aspects of slot game mechanics.
• Knowledge of game design principles and player psychology.
• Experience with machine learning techniques and their relevance to game analysis.
• Prior involvement in the gaming industry, particularly within slot game development or analysis.

• Proficiency in data visualization tools to present intricate mathematical concepts compellingly.

   

If you are an inventive and mathematically inclined individual with a zeal for gaming, seize this opportunity to contribute to the creation of captivating and enriching slot experiences. Apply now to embark on an exciting journey with us!

About Us

At Agaton AI, we’re redefining the future of technology by harnessing the transformative power of artificial intelligence. As a cutting-edge AI solutions provider, our mission is to empower businesses to make smarter decisions, optimize operations, and unlock new avenues for growth through innovative, data-driven insights. We specialize in developing scalable AI and machine learning solutions that integrate seamlessly into modern infrastructures. Our dynamic team of experts is dedicated to pushing the boundaries of what’s possible, ensuring that our clients stay ahead in an ever-evolving digital landscape. Innovation, collaboration, and excellence are at the core of everything we do.
 

Employment Type: Contract-based for an initial period of three months with the possibility of extension based on project needs and performance.
 

Job Description:

We are looking for an experienced Data Scientist to join our growing team. This role is highly focused on Machine Learning (ML) tasks, including model development, feature engineering, and algorithm selection. You will work with large datasets, fine-tune models for domain-specific applications, and implement GenAIOps best practices for AI model operations.

This is an exciting opportunity to lead AI-driven initiatives, explore data to generate insights, and contribute to the development of one of the best AI-powered sales agents in the market.

Key Responsibilities: Exploratory Data Analysis (EDA)

• Analyze and extract insights from large datasets collected from customers.
• Identify trends and patterns that inform business strategies and model improvements.

Feature Engineering & Model Development

• Lead feature engineering efforts to define the characteristics of top-performing salespeople and integrate them into our AI-driven sales agent.
• Design, develop, and optimize predictive models and machine learning algorithms.
• Fine-tune base models to create domain-specific expert models that improve performance and adaptability.

MLOps (GenAIOps) & Model Deployment

• Lead the implementation of best practices in GenAIOps to optimize AI application performance, scalability, and reliability.
• Work closely with DevOps teams to deploy and maintain models in a cloud environment (AWS preferred).
• Continuously monitor and improve model performance based on feedback and evolving business needs.

Statistical Analysis & Experimentation

• Apply probability, A/B testing, and hypothesis testing to validate models and features.
• Design experiments to measure the effectiveness of AI-driven sales strategies.

Collaboration & Communication

• Work closely with product managers, software engineers, and domain experts to integrate ML models into production.
• Communicate insights and model results through clear visualizations and reports for non-technical stakeholders.

Required Qualifications:Experience & Focus Areas

• 3+ years of experience in data science, analytics, or a related field, with a proven record of delivering robust ML solutions.
• Strong focus on Machine Learning (model development, feature engineering, algorithm selection).
• Solid background in Statistics & Mathematics (probability, A/B testing, hypothesis testing).

Technical Skills

• Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn) and ML frameworks (PyTorch, TensorFlow).
• Cloud & Model Deployment: Experience working with cloud platforms (AWS preferred) and deploying ML models at scale.
• Data Processing: Familiarity with SQL, Spark, or other data processing tools (nice to have).

Preferred Qualifications:

• MSc or PhD in Data Science, Computer Science, Statistics, or a related field.
• Experience with big data technologies (Spark, Hadoop) and SQL/NoSQL databases.
• Prior exposure to MLOps/GenAIOps practices for continuous integration and deployment of ML models.
• Background in natural language processing (NLP) or computer vision is a plus.
• Previous experience in agile environments and end-to-end AI product development.

What We Offer

• Impact: Work on innovative projects that push the boundaries of data-driven technology.
• Culture: Join a collaborative, inclusive environment where your ideas are valued.
• Growth: Opportunity for contract extension and long-term career advancement based on performance.
• Flexibility: Enjoy the benefits of a fully remote work setup while being part of a dynamic and supportive team.

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.

Команда, що є великим fashion-retail гравцем світового ринку запрошує до себе Senior / Lead AI and ML Data Scientist! 

 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 ( переважно 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.

We are seeking a highly qualified AI Expert to work with our chatbot, powered by GPT technology. In this role, you will be responsible for creating and optimizing prompts and queries that are sent to GPT to ensure accurate and understandable responses to user interactions.

Responsibilities:

- Analyze and understand user needs and the context of interactions with the GPT chatbot.

- Monitor and analyze the results of interactions with GPT, identifying and addressing shortcomings and unforeseen scenarios.

- Collaborate with developers to implement fixes and enhancements to the GPT system.

- Collect and analyze user feedback to improve the response generation system.

- Continuously update and enhance the prompt and query database based on best practices and the latest developments in Natural Language Processing (NLP).

Requirements:

- Experience in developing tools and systems based on Large Language Models (LLMs).

- Proficiency in essential NLP tools and libraries, such as Python, NLTK, spaCy, PyTorch, Tensorflow, etc.

- Ability to analyze and comprehend user needs and express them in the form of clear and understandable queries.

- High level of proficiency in English (as the language of communication with GPT).

- Strong teamwork and collaboration skills, including working with developers and other specialists.

- Analytical skills and the ability to solve technical challenges.

- Willingness to learn and stay up-to-date with the latest advancements in the field of NLP and AI.

We offer competitive compensation and the opportunity to work with cutting-edge AI technology. If you have the relevant skills and a desire to join our team, we welcome you to apply for the role of AI Expert for our GPT-based chatbot. Your contributions will be instrumental in advancing our platform and enhancing the user experience.

Це ми:

mono — мультипродуктова IT компанія з України. Із 2017 року мільйони людей муркочуть від наших продуктів: monobank, monoбізнес, Experienza, Base, а тепер і market by mono. Прагнемо створити ще більше для нашої екосистеми.

Захоплюєшся AI технологіями, прагнеш вплинути на розвиток продуктів моно? Тоді тобі до нас :) Знайомся детальніше з вакансією, відгукуйся, якщо твоє/про тебе, ми вже ловимо звісточку 🐾
Нумо втілювати амбітні ідеї разом!
 

Про тебе:

• логічне мислення — твоя суперсила
• відмінно знаннєш Python для розробки машинного навчання
• володієш навичками написання запитів та маніпулювання великими наборами даних за допомогою SQL
• маєш досвід роботи з NLP моделями
• маєш досвід роботи з колоборативною фільтрацією та content-based recommendations та гібридними моделями
• є досвід роботи з моделями ранжування
• маєш знання та досвід проведення A/B тестування
• з головою занурюєшся в завдання
• спілкуватися з бізнесом — слей!
• стресостійкість, комунікабельність та проактивність — у тебе в ДНК
   

Довіримо тобі:

• розробку рекомендательних моделей для market by mono
   

Додатково зацінимо:

• досвід використання deep learning для створення рекомендаційних моделей буде плюсом
   

Від себе гарантуємо:

• гідну винагороду та її регулярний перегляд за результатами
• гнучкий графік роботи без трекерів і параної
• можливість гібридної роботи чи повністю віддалено
• відпустку 18 робочих днів на рік (чи 24 календарних) + 2 дні для форс-мажорів + 6 днів для навчання
• оплачувані дей-офи за станом здоров’я — без SMS і лікарняних листів
• корпоративні курси інглішу
• 100% страхування здоров’я + підтримка менталочки
• картку Platinum від monobank і пундики від наших партнерів

🇺🇦 Підтримуємо сили оборони України власними зборами, розвиваємо культуру донатерства.

An international IT company that helps businesses worldwide create innovative software products is looking for Senior Data Scientist. Founded in 2002, today it unites over 2,000 professionals across 41 countries, developing solutions for leading companies, including those in the Fortune 500.

This is a long-term project for a Swiss media company. Its portfolio includes approximately 140 companies in print and digital media, radio, sports media, technology, as well as leading online platforms for cars, real estate, and job opportunities.

What you will do:
- Work with various datasets from the media group (6,500+ employees, more than 20 countries, publishing, and marketplaces).
- Utilize statistics, machine learning, and deep learning to solve business problems.
- Analyze user behavior, interests, and business data to optimize monetization models.
- Collaborate with cross-functional teams to develop AI/ML products.
- Visualize and explain results to both technical and non-technical audiences.
- Stay up to date with and implement the latest research (e.g., LLM, NLP, Hugging Face) to support the current technological landscape.

Requirements: experience with Machine Learning, NLP, and LLM.

Our Customer:

Our customer is a product company with a set of tools for risk scoring and preventing chargeback fraud.

Responsibilities:

• Develop and enhance fraud detection models from concept to production, focusing on data normalization, network analysis, and risk scoring;
• Identify, analyze, and implement solutions for fraud patterns and behavioral anomalies;
• Design, build and maintain data science pipelines and fraud intelligence systems to improve detection accuracy;
• Collaborate with product, engineering, and risk teams to implement fraud prevention strategies;
• Own projects end-to-end — balancing short-term wins with long-term strategy.

Required experience and skills:

• 4+ years of hands-on experience in fraud analytics, data science, or risk modeling;
• Hands-on experience with Python;
• Strong practical proficiency in SQL, MLOps;
• Experience with fraud-related data tools;
• Proven ability to take projects from A to Z in building data infrastructure, anomaly detection, and graph-based fraud detection solutions;
• Understanding of databases and SQL for data retrieval;
• Knowledge of monitoring and alerting tools (e.g., Grafana, Kibana);
• B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math, Statistics, or other equivalent fields;
• English — Upper-Intermediate.

Would be a plus:

• Strong background in e-commerce, fintech, or payments.

Working conditions:

• Remote work;
• 5-day working week, 8-hour working day, flexible schedule;
• All public holidays are days off;
• Vacation and sick leave are covered by the company.