Jobs

Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics and banking. 

Since its inception in 1997, Fozzy Group has focused on making innovative business improvements, creating new opportunities for the market and further developing the industry as a whole.

At Fozzy Group, we are developing a next-generation Decision Support System to manage assortment and promotional activities more effectively using advanced analytics and machine learning. The project focuses on two major streams:

• Assortment Optimization: Cluster-based assortment planning, product lifecycle management, and inventory rotation strategies.
• Promo Effectiveness & Forecasting: ML-driven analysis and prediction of promo impact, segmentation-based targeting, and ROI estimation.

You will join a cross-functional team to design and implement data-driven decision module that directly influence commercial and operational decisions.

Job Responsibilities:

• building ML models for low-rotation SKU detection, promo TS models, and assortment clustering;
• supporting planogram and replenishment logic development with data-driven insights;
• automating recommendations for promo selections and substitutions;
• Design, train, and validate predictive and prescriptive models for promo uplift, inventory turns, and customer response;
• build and maintain SQL pipelines to aggregate and transform commercial data from various sources;
• collaborate with category managers, marketing, supply chain, and IT to translate business goals into measurable analytics tasks.

Requirements:

• bachelor’s Degree in Mathematics / Quantitative Economics / Econometrics / Statistics / Computer Sciences / Finance;
• at least 2 years working experience on Data Science;
• strong mathematical background in Linear algebra, Probability, Statistics & Optimization Techniques;
• proven experience with SQL (Window functions, CTEs, joins) and Python;
• machine Learning techniques (e.g., Decision Trees, Random Forest, and Boosting), Time Series Analysis and application of Statistical Concepts (Hypothesis testing, A/B tests, PCA);
• ability to work independently and decompose complex problems.

Preferred:

• knowledge of Reporting and Business Intelligence Software (Power BI, Tableau, Looker);
• experience with Airflow, Docker, or Kubernetes for data orchestration;
• practical experience with Amazon SageMaker: training, deploying, and monitoring ML models in a production environment;
• ability to design and deliver packaged analytical/ML solutions.

By joining our team you will get:

• opportunity to generate and influence decisions;
• competitive salary;
• professional & personal development opportunities;
• being part of dynamic team of young & ambitious professionals;
• concierge service for employees;
• corporate discounts for sport clubs and language courses;
• paid vacation and health insurance.

Project Description: 

We are looking for a Data Scientist / Machine Learning Engineer to develop and implement an ML solution that predicts key business metrics for fitness studios (sales, visits, contract signings, customer indicators) based on historical data. The project will be deployed on AWS.

iKizmet (www.ikizmet.com) is a fast-growing analytics software company specializing in the health and fitness industry. We are integrated with the largest POS and Scheduling platforms in our industry and our client list has some of the largest brands in the boutique fitness space. 

Job Title: Data Scientist / ML Engineer (AWS) for Fitness Studio Business Forecasting Project

Responsibilities: 

• Analyze data from fitness studios: sales, visits, contracts, and customer data. 

• Build end-to-end ML pipelines (data preprocessing → model training → testing → deployment → monitoring). 

• Develop forecasting models (regression, classification, time series). 

• Implement data pipelines and ML workflows on AWS (SageMaker, S3, Glue, Lambda). 

• Set up model performance monitoring and reporting. 

• Prepare reports and visualize results for business stakeholders. 

• Collaborate with team members and stakeholders to align tasks and communicate results. 

Requirements: 

• 3+ years of experience as a Data Scientist / ML Engineer. 

• Strong Python skills (pandas, numpy, scikit-learn, PyTorch or equivalent). 

• Experience with ETL pipelines and working with large datasets. 

• Hands-on experience with time series, regression, and classification models. 

• Proven experience with AWS: SageMaker, S3, Glue, Lambda, CloudWatch. 

• Proficiency in SQL. 

• Ability to clearly explain technical solutions to business stakeholders. 

• English proficiency (Intermediate or higher) for working in an international environment. Nice to have: 

• Experience building BI dashboards (e.g., AWS QuickSight, Power BI, Tableau). 

• MLOps and CI/CD experience. 

We offer: 

• Work on a real-world ML project with impactful business data. • Collaboration with an international team. 

• Flexible schedule, fully remote work. 

• Opportunities for learning, professional growth, and career development. 

Please let me know if you are interested in our offer.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe

About the client:
Our client is the go-to enterprise decision intelligence platform to drive better, faster decision-making across your organization, turning decision-making into a competitive advantage.

The company's platform helps teams scale great decisions by streamlining decision processes, automating recommendations with AI, and improving collaboration. The company is the only system of record to track, learn from and improve on your most critical commercial decisions.

About the role:
We are seeking an experienced and innovative Data Scientist to join the team, with a primary focus on automating decision-making processes in a wide range of areas of business.

The candidate will be responsible for the development of backend modules for Decision Intelligence assistants and AI agenetic systems. You will use advanced analytics and machine learning techniques, predictive analytics and big data tools to develop and implement solutions for automated analysis of structured and unstructured data to generate natural language insights, recommendations and decision recommendations.

Requirements:
- 3+ years of relevant experience as a Data Scientist.
- Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Strong proficiency in Python and familiarity with data analysis and ML libraries (such as Pandas, NumPy, Scikit-learn, SciPy, Stats models, TensorFlow, PyTorch etc.).
- Familiarity with SQL and NoSQL databases, GitHub tools and A/B testing frameworks is a big plus.
- Good understanding of time series analysis and forecasting methods.
- Strong problem-solving skills and a strategic mindset.
- Excellent communication skills, with the ability to explain complex concepts to diverse audiences.

Would be a plus:
- Experience using BI tools (Tableau, Power BI etc.) and Marketing mix modeling skills (especially in CPG).
- High energy, a passion for learning, and a genuine interest in revolutionizing enterprise decision-making through AI.

Responsibilities:
- Work with a team of AI experts, data scientists, engineering team, business analysts and market researchers to create solutions helping companies make strategic business decisions through providing insights and recommendations.
- Identify valuable data sources and automate ETL processes of structured and unstructured data.
- Analyze large and complex datasets from various sources to discover trends, patterns, anomalies and uncover actionable insights.
- Develop and deploy machine learning models and predictive algorithms for automated data analysis, generation of recommendations, and decisions.
- Design and implement systems for real-time decision-making in areas such as current state analysis, business recommendations, and process optimization.
- Continuously evaluate and fine-tune algorithms to improve accuracy, scalability, and performance.
- Collaborate with decision success, engineering, and product development teams.
- Present complex analytics and outcomes to non-technical stakeholders in a clear and actionable manner.

The company offers:
- Competitive salary and work equipment allowances.
- Flexible work schedule and paid personal time off.
- Collaborative team culture with cross-functional exposure to engineers, analysts, and business stakeholders.
- Opportunities for professional growth and learning.

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
  -Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
  -Drive the roadmap for machine learning projects aligned with business goals;
  -Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
• Machine Learning & LLM Expertise
  -Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
  -Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
  -Stay ahead of advancements in LLMs and apply emerging technologies;
  -Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
• AWS Cloud Expertise
  -Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
  -Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
  -Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
• Technical Execution
  -Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
  -Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
  -Debug, troubleshoot, and optimize production ML models for performance.
• Team Development & Communication
  -Conduct regular code reviews and ensure engineering standards are upheld;
  -Facilitate professional growth and learning for the team through continuous feedback and guidance;
  -Communicate progress, challenges, and solutions to stakeholders and senior leadership.
  
  Qualifications:
• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
  -Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
  -Drive the roadmap for machine learning projects aligned with business goals;
  -Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
• Machine Learning & LLM Expertise
  -Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
  -Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
  -Stay ahead of advancements in LLMs and apply emerging technologies;
  -Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
• AWS Cloud Expertise
  -Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
  -Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
  -Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
• Technical Execution
  -Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
  -Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
  -Debug, troubleshoot, and optimize production ML models for performance.
• Team Development & Communication
  -Conduct regular code reviews and ensure engineering standards are upheld;
  -Facilitate professional growth and learning for the team through continuous feedback and guidance;
  -Communicate progress, challenges, and solutions to stakeholders and senior leadership.
  
  Qualifications:
• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

🚀 AI Internship 2025 — Step Into One of the Most Promising Fields of the Future!

Artificial Intelligence is reshaping the world — and there’s no better time to jump in. Our AI internship is a hands-on program designed for individuals seeking to build a career in modern technology and work directly with cutting-edge tools.

🗓️ Start date — May 19
⏳ Duration — 5 weeks
🎯 Top participants will receive a job offer to join our team!

🔍 Prerequisites:

• Basic knowledge of Python
• An OpenAI API key — required for assignments (you’ll obtain it yourself)
  📎 Setup guide: Minimum prepaid amount — $5 (one-time purchase)
• Curiosity, motivation, and a strong desire to learn

🛠️ What you’ll work with:

• Hugging Face Transformers
• LangChain for model orchestration
• OpenAI API for real-world use cases
• Building your own AI assistants and completing mini-projects
• Team collaboration, mentoring, and feedback

📩 Interested? Apply now.

Altamira is a software development outsourcing company. We provide solutions that make a tangible impact on our clients’ growth and productivity. With domain knowledge across product and technology development, we aim to provide cost-efficient solutions without compromising quality. We are driven to deliver the best, every single time. 

Altamira service delivery teams currently span Slovakia, Ukraine, and the Middle East, and we have ambitions to expand our footprint to meet the growing demand across Europe and into our primary growth markets in the UK and the US. In terms of industry verticals, we are focused on EdTech, Fintech, eCommerce, and Pharma. 

As a fully remote company, we welcome talented individuals seeking hourly-based freelance opportunities

We are currently looking for a highly skilled Senior Machine Learning Engineer to join a high-impact forecasting project in the manufacturing domain.​

Project Overview

You will lead the development of a demand forecasting solution designed to predict manufacturing output using historical production data and external signals. Currently in the discovery phase, the project is expected to last 3–4 weeks (part-time), with a potential full-time extension.

Key Responsibilities

• Architect and implement an end-to-end demand forecasting system tailored to manufacturing operations.
• Select, implement, and validate time series forecasting models (statistical and machine learning-based).
• Collaborate closely with data analysts and engineers to ensure data readiness and build relevant time-aware features.
• Develop and deploy automated ML pipelines using cloud ML platforms (e.g., Azure ML, AWS SageMaker, GCP Vertex AI).
• Establish CI/CD workflows and monitoring tools for continuous model retraining and performance assurance.
• Integrate predictive outputs with business tools such as ERP, CRM, and inventory systems.

• Communicate technical insights clearly to stakeholders, enabling data-driven decisions.

   

Required Qualifications

• 5+ years of hands-on experience in ML/AI engineering with a strong focus on business impact.
• Deep expertise in demand forecasting, with experience deploying models to production.
• Proficiency with both statistical (ARIMA, ETS) and ML-based forecasting techniques (XGBoost, Prophet, LSTM, TFT).
• Strong background in building full ML pipelines—from data preprocessing to deployment and monitoring.
• Practical experience with cloud-based platforms like Azure ML, AWS SageMaker, or Vertex AI.
• Familiarity with MLOps practices, including CI/CD, monitoring, and automated retraining.
• Solid Python skills and experience with libraries such as scikit-learn, pandas, TensorFlow/PyTorch, and statsmodels.
• Strong written and verbal communication skills, with the ability to explain complex models to non-technical audiences.

• Ukrainian language fluency is required; English proficiency (B2+) is a strong advantage.

   

Why Join Altamira?

• Collaborate with a dynamic, innovative, and experienced team.
• Work on meaningful, high-impact projects in a flexible freelance setting.
• Gain exposure to enterprise-level AI/ML implementations in real-world manufacturing environments.

• Enjoy potential project extensions and long-term collaboration opportunities.

   

 Our transparent recruitment journey usually takes up to 2 weeks and includes a few stages:

1. Recruiting Interview -> 30-45 min
2. Technical Interview -> 1-1,5h
3. Reference Check

4. Offer

    

If you're seeking a flexible, welcoming, and professional environment, join our freelance project-based team! 

We do believe that the success of altamira.ai is impossible without the success of our Talents and the success of our Clients!

Responsibilities:

• Design, develop, and implement state-of-the-art ML models for real-world applications.
• Collaborate with data scientists, software engineers, and product teams to understand requirements and deliver scalable solutions.
• Optimize model performance, scalability, and reliability in production environments.
• Conduct research to stay up to date with the latest advancements in machine learning and AI.
• Analyze large, complex datasets to extract meaningful insights and features.
• Contribute to the development of internal tools and frameworks to streamline ML workflows.

Requirements:

• 4+ years of professional experience in machine learning, data science, or a related field.
• Strong programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience with deploying ML models in production environments.
• Proficiency in working with large datasets and using tools such as SQL, Pandas, or Spark.
• Strong problem-solving skills and ability to work independently.
• English proficiency at an Upper-Intermediate level or higher (spoken and written).

Nice to Have:

• Experience with cloud platforms (AWS, GCP, Azure).
• Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow).
• Background in deep learning, NLP, or computer vision.
• Contribution to open-source ML projects or academic publications.

Zoral Labs, a leading provider of research and development to the software industry, is searching for Senior Machine Leaning Engineer to join its development center in remotely

Requirements 

- MSc or PhD degree in Computer Science, Applied Math or related field background in Mathematics (linear algebra, discrete math, probability theory and statistics, optimization theory)
- 5+ years of experience in Software Engineering and ML
- algorithms and data structures knowledge (e.g. divide and conquer, graph algorithms, dynamic programming, stacks/queues, heaps)

- NLP experience (text categorization, NER, parsing);
- classic ML algorithms and approaches expertise (e.g. logistic regression, regularization, xgboost, etc.);
- neural networks for image and/or sequence modelling experience (e.g. CNN, LSTM, Transformers);
- understanding of mathematical foundations of LLM;
- experience with finetuning and deploy private LLMs to solve specific business problems;
- strong knowledge of Python
- experience with Unix tools (e.g. bash scripting)
- self-sufficiency: being able to work and deliver with the minimal support required
- a proven track record of project implementation from PoC to production
- good spoken and written English (B2+)

Would be a plus 
- experience with cloud platforms (e.g. GCP: Vertex AI, Cloud Storage or AWS: SageMaker, ECS, S3)
- experience with PostgreSQL database and good SQL knowledge
- experience with CI/CD practices

- experience with OCR

- exposure to Finance domain

 - experience with logic programming (e.g. Prolog) or functional programming languages
- knowledge of Computer Vision algorithms (object detection, recognition, feature extraction, matching, projective geometry)
- participant of Kaggle, math/coding competitions

Responsibilities 

As a member of the Machine Learning team, you will participate in multiple projects related to improvement of business operational efficiency, automated processing of financial documents in various formats (Intelligent Document Processing) that includes structure recognition, document categorization and parsing, information extraction and question answering. 

In particular you will:
- collaborate with business analysis, development, and operations teams;
- capture key business requirements in communication and cooperation with the key business stakeholders;
- develop document recognition/processing technology using cutting-edge approaches, including LLMs;
- analyze state-of-the-art papers, benchmark different approaches;
- develop of PoC (proof of concept) and demo prototypes to validate requirements and design;
- develop production-ready solutions in close cooperation with development team;

We offer: 
Attractive salary and good opportunities for career and personal development
Compensation package
Good opportunities for career and personal development
Office in a picturesque place

About projects: 

We specialize in advanced software fields such as BI, Data Mining, Artificial Intelligence, Machine Learning (AI/ML), High Speed Computing, Cloud Computing, BIG Data, Predictive Analytics, Unstructured Data processing, Finance, Risk Management and Security.
Depending on the project, it can be consulting in data analysis and risk management, with customers geography stretching all over the world or creation of extensible decision engine services, data analysis and management solutions, real-time automatic data processing applications.
If you are excited about development of artificial intellect, behavior analysis data solutions, big data approach then we can give you an opportunity to reveal your talents

Про компанію Zoral Labs

Zoral is a fintech software research and development company. We were founded in 2004.

We operate one of largest labs in Europe focused on Artificial Intelligence/Machine Learning (AI/ML), predictive systems for consumer/SME credit and financial products.

Our clients are based in USA, Canada, Europe, Africa, Asia, South America and Australia.

We are one of the world’s leading companies in the use of unstructured, social, device, MNO, bureau and behavioral data, for real-time decisioning and predictive modeling.

Zoral software intelligently automates digital financial products.

Zoral produced the world’s first, fully automated, STP consumer credit platforms.
We are based in London, New York and Berlin 
 

Сайт компанії:

zorallabs.com/company

Сторінка компанії на DOU:

https://jobs.dou.ua/companies/zoral/

Description

As a Computer Vision Engineer, you will join a mature and senior team dedicated to developing cutting-edge computer vision solutions for medical applications. Our projects range from advanced image processing to real-time vision systems, contributing to fields like medical devices, robotics, autonomous vehicles and others. We emphasize technical excellence and offer a stimulating environment that encourages innovation and professional growth.

Requirements

3+ years of experience in computer vision or related fields.
Strong knowledge of machine learning/deep learning.
Hands-on experience with object detectors, instance segmentation, keypoint/pose detection, RNNs/Transformers (computer vision in time domain), tracking algorithms.
Proficiency in programming languages such as Python and C++.
Extensive experience with computer vision libraries and frameworks like PyTorch, and OpenCV.
Familiarity with image processing techniques and annotation tools.
Experience with hardware integration for vision-based systems.
Good understanding of best practices of software development (code reviews, TDD, Git, etc.)
Advanced English (written and verbal) for daily communication with the customer.
Efficiency in remote development on Linux (VMs, on-premise machines).
Would be a Plus:
Understanding of real-time processing and optimization.
Experience with edge AI deployment.
Experience with optimization and inference libraries (ONNX, TensorRT, OpenVINO, etc.).
QNX or Linux development.
Experience in medical computer vision.
Experience in managing huge volumes of visual data.
Ability to leverage advanced nVidia ADA GPU features to speedup training and inference.
Experience with CPU and GPU profiling (nVidia nsight, cProfile)

Job responsibilities

Contribute to the design, development, code review, and testing of computer vision algorithms and systems.
Develop new features and improve existing functionality in vision-based projects.
Work on the integration of computer vision solutions with third-party tools and hardware.
Collaborate with cross-functional teams to deliver high-quality, compliant products.
Stay updated with the latest advancements in computer vision and machine learning technologies.

We’re looking for a proactive Data Scientist to join our growing team and help us redefine the future of eSports betting! You will develop and implement advanced models for esports betting, focusing on games such as Dota 2, League of Legends, etc. Oversee the entire model development lifecycle, including design, testing, and performance optimization.

Are you ready to apply your expertise in a fast-paced, innovative environment? If you’re passionate about quality and love the idea of working on a cutting-edge product, keep on reading!

Who are we?
 

Since 2017, our team of tech enthusiasts, eSports players, and bettors has been on a mission to revolutionize the world of eSports betting. This passion has driven us to create DATA.BET, the fastest-growing eSports data product in the market.

With the widest event coverage and a turnkey solution for a full betting product, we aim to become the TOP provider in the industry.
 

What you’ll be working on:
 

• Develop and implement betting models using Python and Golang.
• Design and optimize mathematical models, including statistical models, classical machine learning techniques, and neural networks.
• Analyze the performance and impact of models, ensuring operational efficiency.
• Prototype and assess models to evaluate their effectiveness and user acceptance.
• Integrate models with existing systems and optimize performance.
• Collaborate with backend and frontend teams for seamless implementation and decision-making.
• Conduct in-depth statistical analysis and apply machine learning methods to enhance forecasting accuracy.
   

About you:

We’re looking for someone who thrives on precision and collaboration.

Must-have skills and experience:
 

• 3+ years of commercial experience with Python.
• Strong knowledge of statistics and practical experience with ML techniques.
• Proven expertise in mathematical modeling, including statistical methods, classical ML approaches, and neural networks.
• Strong data processing skills (validation, parsing, visualization).
• Understanding business logic of decisions and analytical thinking ability.
• Excellent communication skills and the ability to work in a team.
• Ability to assess the business value of tasks.
• Upper-intermediate English skills.
   

Nice to have:
 

• Higher education in computer science, mathematics, statistics, or a related discipline is a plus.
• Experience in the betting industry or related fields is an advantage.
   

Why work with us?
 

We offer not just a job but an opportunity to be part of an innovative, and ambitious team that cultivates a positively charged atmosphere and an environment that fosters both professional and individual growth.

Your well-being and a supportive work environment are our biggest priority:
 

• Flexible schedule and workplace options: enjoy the flexibility to work where and when you’re most productive.
• 20 Paid+15 unpaid vacations: take time off to recharge with both paid and unpaid vacation options.
• Day off for your birthday: celebrate your special day with a well-deserved day off.
• Health insurance: take care of yourself and your well-being with comprehensive health coverage (in Ukraine only).
• 22 Sick leaves: take enough time to recover with a sufficient sick leave allowance (12 unconfirmed including sick leaves for mental health + 10 confirmed)
• Gifts and bonuses (wedding, child birth bonus, kindergarten allowance (in Ukraine only): get special perks to support you in various life situations and important moments.

Prom.ua – найбільший маркетплейс України, де продаються понад 200 млн товарів від десятків тисяч підприємців з усієї країни.

На Prom.ua:

• кожен покупець може знайти все, що потрібно, за найкращою ціною: від зубної щітки до культиватора для саду та городу.
• кожен підприємець може продавати товари в каталозі маркетплейса, на сайті, створеному на платформі Prom та у мобільному додатку "Prom покупки".

Prom.ua в цифрах:

• щодня маркетплейс відвідують 4,8 млн осіб
• на маркетплейсі працюють понад 60 тис. компаній
• у каталозі 200 млн товарів
  
   

Про команду Data Science 

Ми оптимізуємо різні частини продукту, використовуючи дані і алгоритми машинного навчання. Паралельно розбудовуємо ШІ-системи, що надають стратегічну перевагу компанії і допомагають їй слідувати візії - створення комерції майбутнього.

Зараз в команді 5 людей: 

• 2 Senior Data Scientist, 
• Middle Data Scientist,
• Senior Machine Learning Engineer,
• Team Lead.

Напрямки роботи команди:

• Рекомендації товарів і персоналізація,
• Згортання товарів в продуктові моделі,
• Автоматична оцінка якості та модерація контенту товарів: категоризація, машинний переклад, автозаповнення характеристик, генерація контенту,
• Пошук та ML-ранжування,
• Генерація і лінкування тегів для SEO.

Особливості роботи в команді

• активно занурюємось в продуктове середовище, тісно взаємодіємо з іншими командами - > мало досліджень йде під стіл, багато моделей в production;
• розуміємо поставлені цілі, орієнтуємось на результат -> модельки роблять те, що потрібно, і не роблять те, що не потрібно;
• мінімальна бюрократія, можна обирати задачки, які більше лежать до душі, заохочуємо ініціативу, але й розраховуємо на відповідальність за результат;
• фокусуємось на розбудові інфраструктури для більшої надійності рішень, автоматизації рутини і щоб легше було впроваджувати моделі з нуля;
• більшість проєктів версіонуємо і документуємо, це допомагає комфортно працювати паралельно декільком спеціалістам;
• багато працюємо в команді, віримо у зворотній звʼязок і підтримку, жартуємо жарти;
• обмінюємось досвідом: проводимо авторські курси, презентуємо свої проєкти, влаштовуємо брейн-шторми. 

Розбудовуємо тісні зв’язки з командами розробки, тестування та аналітиками. 

Для повсякденної роботи піднятий JupyterHub сервер з можливістю задавати необхідні характеристики робочого середовища, можна працювати на локальній машині. Маємо свої сервери з відеокартами для навчання і розгортання моделей.

 

Проєкти з технічного боку:

Мова програмування: Python

Аналіз і обробка даних: Jupyter Notebook, Pandas, NumPy

Machine Learning і Deep Learning: Scikit-learn, TensorFlow, PyTorch, FAISS, XGBoost

LLM API: Gemini, ChatGPT

Візуалізація даних і моніторинг: Matplotlib, Seaborn, Plotly, Bokeh, Tableau, Grafana

Бази даних: Postgres

Big Data і розподілені обчислення: Apache Spark, Hadoop

MLOps: MLflow, DVC, TensorFlow Serving, Python packaging, Fast API, uv

Даги: Airflow

Черги даних: Kafka

Пошук: Elasticsearch

Для даної ролі важливо:

• досвід класифікації/сегментації/генерації текстів як класичними методами, так і deep learning;
• досвід роботи з фреймворками для розробки нейромереж (PyTorch/TensorFlow);
• досвідченість у роботі з машинним навчанням: постановка задачі, збір і дослідження даних (PySpark, pandas), тренування моделі, оцінка результатів, аналіз роботи моделі, підготовка до розгортання;
• досвід розгортання та супроводження моделі в production, покращення вже існуючих моделей;
• вміння писати надійний і чистий код на python, розуміння і використання різних структур даних, OOP, а також, володіння VC (Git etc); користування лінтерами (ruff) і інструментами перевірки типів даних (mypy);
• досвід роботи з Docker, пакетними менеджерами (uv, pdm), CI/CD;
• готовність глибоко занурюватись в бізнес-задачі і перетворювати їх на технічні рішення (архітектура, функції втрат, метрики і т.д.);
• відповідальність та уважність до деталей;
• вміння тестувати свої рішення і забезпечувати їх безперебійну роботу.

Що буде плюсом:

• досвід навчання моделей на обʼємах даних, що значно перевищують обсяг оперативної пам'яті, досвід з високонавантаженими системами, Big Data і розподіленими обчисленнями;
• досвід побудови ETL-процесів, зокрема повʼязаних з регулярним перенавчанням моделей;
• досвід у застосуванні практик MLOps: контроль версій коду, даних і моделей, автоматичного розгортання, моніторингу і логування, тестування моделей, перенавчання моделей;
• досвід роботи з ембедингами і ANN.

Можливі задачі:

• розвиток системи класифікації товарів,
• масштабування привʼязки товарів до продуктових моделей,
• покращення моделі ранжування товарів у пошуковій видачі,
• дослідження нових напрямків застосування машинного навчання для вирішення задач бізнесу.

Режим роботи:

• режим роботи змішаний, практикуємо регулярні відвідування офісу в Києві,
• працюємо в зручний час, важливо бути на зв’язку з 11:00 до 18:00 і бути присутнім на зустрічах.

Етапи відбору:

1. Знайомство. 
2. Технічне інтерв’ю.
3. Фінальне інтерв’ю. 

Про роботу в EVO:

• Соціальний пакет — офіційне працевлаштування, 24 дні оплачуваної відпустки на рік і необмежена кількість лікарняних, щоб ви могли відпочивати та дбати про своє здоров’я.
• Турбота про здоров’я — ми покриваємо медичне страхування та пропонуємо підтримку корпоративного психолога, адже переконані, що піклування про ментальне здоров’я є так само важливим, як і про фізичне.
• Гнучкий формат роботи — віддалено або в офісі. Ви можете працювати дистанційно або відвідувати наш затишний офіс в Києві, який повністю енергонезалежний та оснащений усім необхідним.
• Волонтерська спільнота – ми регулярно проводимо благодійні аукціони, збираємо гроші на дрони-розвідники та підтримуємо волонтерські ініціативи співробітників.
• Ми надаємо рівні можливості для всіх – тому не допускаємо дискримінації за будь-якими ознаками. Також ми відкриті до співпраці з ветеранами/ветеранками та готові підтримати їх на шляху до нових професійних досягнень.
• Можливість навчання та професійного зростання. Чесність та відкритість у всіх комунікаціях. Конструктивний зворотний зв’язок за результатами роботи. Підтримка лідера і команди.

Вітаємо в King Group ー місці, де зустрічаються найкращі люди з IT- та гемблінг-індустрії, щоб разом робити дивовижні речі. Ми оперуємо численними проєктами у сфері iGaming на ринках України, Європи та США, інвестуємо у венчурні стартапи, перспективні ідеї та людей. 
Ми активно зростаємо та розширюємося, успішно запустивши та розширивши низку нових продуктів протягом останнього року.

Наразі ми у пошуках Data Scientist, що доєднається та підсилить нашу Analytics & Insights команду.

Основні вимоги:
— Ступінь бакалавра/магістра або еквівалентний досвід у галузі математики, статистики, інформатики чи суміжних галузей;
— Глибокі знання математики, статистики та теорії ймовірностей;
— Навички програмування на Python;
— Досвід роботи з бібліотеками: Pandas, Numpy, Scipy, Scikit-learn, і тд.;
— Досвід роботи із SQL;
— Глибоке розуміння класичних ML алгоритмів: Clustering, Logistic Regression, Decision Trees, Random Forest, Boostings.

Однозначно буде великою перевагою:
— Досвід роботи з Time Series modeling;
— Досвід роботи DL framework: TensorFlow, PyTorch (+ CUDA);
— Досвід з GCP cloud: BigQuery, Cloud Functions.
 
Тобі точно до нас, якщо ти:
— Володієш відмінними аналітичними навичками та критичним мисленням;
— Маєш сильні організаторські здібності;
— Уважний до деталей, а також маєш навички комплексного вирішення проблем, управління часом і логіки;
— Маєш жагу до різного роду досліджень та самовдосконалення;
— Володієш навичками ефективної комунікації, здатний чітко та лаконічно представляти дані командам та зацікавленим сторонам.

Ми пропонуємо:
— Відсутність бюрократії в процесах прийняття рішень і можливість безпосередньо впливати на продукт/проєкт;
— Можливість навчатися – або навчати (маємо проєкти з інтернатури та менторства);
— Реалізація ідей через власні проєкти - Не бійтесь експериментувати! Пропонуйте та овнеріть процес реалізації;
— Підтримуюче середовище та команда, із якою можна робити дійсно круті продукти, що змінюють ринок;
— Зарплату рівня IT-/iGaming-ринку та повний соцпакет (медична страховка, консультації терапевта в офісі, компенсація спортзалу, компенсація вартості ланчів з доставкою тощо);
— Зручний офіс у центрі Києва (пішки зі Звіринецької/Либідської) із зеленою панорамною терасою. Проблема блекаутів вирішена на 100%;
— Відпустка - у тебе буде 17 робочих днів оплачуваної відпустки із необмеженою (майже) можливістю накопичення днів з минулого року; 
— Екстравихідні - в екстрадні надаємо екстравихідні на: одруження, народження дитини, непередбачувані події та інше;
— Бонус за рекомендацію - Ми завжди радіємо та цінуємо те, що тіммейти рекомендують своїх друзів, тому до плюсів роботи з перевіреною та надійною людиною ми додаємо бонус;
— Релокейт - зміна міста проживання завжди спонукає до додаткових витрат, а наш бонус допомагає пройти цей період без зайвих стресів.

Якщо ти шукаєш для себе стабільну компанію з класними людьми та можливістю росту - тобі до нас! Відправляй резюме!

Location: Poland
English: Upper-Intermediate+

Our client is one of the top 5 global management consulting firms, widely recognized as one of the most prestigious in the industry. They serve hundreds of Fortune 500 clients, including major global financial institutions, leading media and tech companies, and federal agencies. Their proven platforms and services are trusted by some of the biggest names worldwide.

🧠 About the Project
You’ll be part of the Strategy & Corporate Finance department — a key unit within the firm that supports clients in tackling strategic and financial challenges. The team combines deep domain expertise with advanced analytical tools to deliver high-impact solutions.

🔧 Tech Stack:
Python, SQL, Pandas, NumPy, TensorFlow, PyTorch, RAG Implementation, Agents, AWS (Azure is a plus)

✅ Requirements:

• 3+ years of experience in data science or a related AI-focused role
• Solid knowledge of AI techniques including machine learning, deep learning, and NLP
• Hands-on experience with Python and key libraries: Pandas, NumPy, scikit-learn, streamlit
• Experience with AI/ML frameworks (TensorFlow, PyTorch)
• SQL proficiency
• Understanding of RAG and agent-based implementations
• Familiarity with Agile methodologies and experience working in Agile teams
• Cloud experience (AWS required, Azure/Google Cloud is a plus)
• Product-oriented mindset with a focus on iterative improvement
• Strong analytical and problem-solving skills
• Ability to clearly communicate complex ideas to both technical and non-technical audiences
• Good software engineering practices: version control, testing, code reviews
• Interest or background in Corporate Finance is a bonus
• Collaborative and proactive attitude, eagerness to stay current with tech trends

💼 Responsibilities:

• Analyze complex datasets to uncover insights using AI techniques
• Build and deploy AI models tailored to client-specific business needs
• Collaborate with consultants and domain experts to shape AI-driven strategies
• Communicate data-driven findings to diverse stakeholders
• Continuously enhance existing models for better accuracy and performance
• Contribute to the AI infrastructure and toolset used by the team
• Stay up to date with the latest trends in AI, ML, and DL

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.