Jobs

🚀 Join RiskSeal as a Credit Risk Analyst!
 

This is a remote position. We are looking for a Credit Risk Data Scientist to enhance our credit risk models and explore innovative ways to use our data. The ideal candidate will have a strong analytical mindset, a deep understanding of credit risk modeling, and experience with data-driven decision-making. This role is crucial in testing, improving, and iterating on our risk assessment methodologies.
 

Responsibilities

• Design, build, and fine-tune credit risk models to improve prediction accuracy.
• Continuously explore new methodologies and data sources to enhance borrower risk assessments.
• Conduct A/B tests, backtesting, and performance evaluations of models.
• Work closely with development teams to deploy and maintain models in production.
• Develop and track key performance metrics related to credit risk.
• Stay up-to-date with the latest advancements in credit risk modeling and machine learning.
• Communicate insights and findings to internal teams and clients.
   

Requirements

• 3+ years of experience in credit risk modeling, data science, or a related field.
• Strong proficiency in statistical modeling, machine learning, and predictive analytics.
• Hands-on experience building credit risk models (PD, LGD, scorecards, alternative data).
• Proficiency in Python, SQL, or similar tools for data analysis and model development.
• Experience working with financial data and alternative credit scoring techniques.
• Ability to translate complex analytical insights into actionable business strategies.
• Strong problem-solving skills and attention to detail.

📩 Ready to Join?
Send your resume, and let’s achieve great results together! 

What We Offer

• A high-impact role in a fast-growing fintech startup.
• The opportunity to shape the future of alternative credit scoring.
• A flexible remote work environment with a focus on results.
• Competitive salary and benefits package.
• A chance to work with a team of passionate professionals in a rapidly evolving space.

📍 Remote | Full-time
Introduct Group is an international company contributing to software development excellency in tailored solutions to our customers worldwide.
The company is originally from Estonia, with headquarters in Kyiv and offices in other countries. Introduct Tech welcomes a talented professional to join our challenging and dynamic European project in Logistics Industry.
 

Introduct Group is an international company delivering tailored software solutions to clients worldwide. Founded in Estonia, with headquarters in Kyiv and offices across several countries, we combine global vision with local expertise.

We are currently seeking a results-oriented Tableau professional to join our dynamic European project in the Logistics Industry as part of our BI Team.

This team plays a critical role in delivering business intelligence services — from maintaining analytical data warehouses to creating insightful dashboards and supporting company-wide analytics initiatives.
 

Your Role

We’re looking for a senior-level Tableau expert who will:

• Analyze existing dashboards and suggest improvements
• Have at least 3 years of experience in a similar position
• Apply best practices to enhance performance and user experience
• Ensure data integrity and consistency across reports
• Document solutions and support the team through training and knowledge sharing
• Leverage your experience in Tableau performance tuning, data modeling, and stakeholder collaboration to drive measurable improvements
• Upper-intermediate English
   

What We Offer

• Competitive salary
• Fully remote work format
• Opportunities for professional development through English courses and training programs
• A friendly and professional team environment where your contributions truly matter

If you’re passionate about turning data into insights and helping teams perform at their best — we’d love to hear from you. Join Introduct and make your impact through BI.

This is a remote position. We are looking for a Data Scientist to enhance credit risk models and explore innovative ways to use data. The ideal candidate will have a strong analytical mindset, a deep understanding of credit risk modeling, and experience with data-driven decision-making. This role is crucial in testing, improving, and iterating on our risk assessment methodologies.

Responsibilities
- Design, build, and fine-tune credit risk models to improve prediction accuracy.
- Continuously explore new methodologies and data sources to enhance borrower risk
assessments.
- Conduct A/B tests, backtesting, and performance evaluations of models.
 - Work closely with development teams to deploy and maintain models in production.
- Develop and track key performance metrics related to credit risk.
- Stay up-to-date with the latest advancements in credit risk modeling and machine learning.
- Communicate insights and findings to internal teams and clients.

Requirements
-  3+ years of experience in credit risk modeling, data science, or a related field.
- Strong proficiency in statistical modeling, machine learning, and predictive analytics.
- Hands-on experience building credit risk models (PD, LGD, scorecards, alternative
data).
- Proficiency in Python, SQL, or similar tools for data analysis and model development.
- Experience working with financial data and alternative credit scoring techniques.
- Ability to translate complex analytical insights into actionable business strategies.
- Strong problem-solving skills and attention to detail.

What We Offer
- A high-impact role in a fast-growing fintech startup.
- The opportunity to shape the future of alternative credit scoring.
- A flexible remote work environment with a focus on results.

- Competitive salary and benefits package.
- A chance to work with a team of passionate professionals in a rapidly evolving space.

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.

We're building the smartest platform in Web3 marketing - and we’re looking for a highly skilled Data Scientist to join us.

We are seeking a highly skilled Data Scientist for Marketing Campaign Analysis.

The ideal candidate will be responsible for aggregating data from text, sound, and video sources from platforms like Twitter/X, TikTok, YouTube and similar sites.

This involves utilizing Speech-to-Text (STT) and video transcription tools to convert audio and video data into text format, applying Natural Language Processing (NLP) techniques to preprocess and clean the aggregated data, and employing Deep Learning (DL) models for feature extraction and data enhancement.

The candidate should develop and fine-tune Encoder-Decoder Large Language Models (LLMs) for stance detection tasks using datasets like SemEval and RumourEval. Additionally, they will implement Sentiment Analysis using Bidirectional Encoder Representations from Transformers (BERT) or similar models to assess public sentiment towards brands. Named Entity Recognition (NER) will be used to track specific entities and influencers.

The role also involves using NER to identify and categorize entities such as brands, influencers, and products across various social media platforms. The candidate will apply Influencer Analysis techniques to evaluate the impact and relevance of influencers using NLP and Machine Learning (ML). Audience Segmentation will be conducted using clustering algorithms like K-means or DBSCAN to align influencer audiences with target markets.

Furthermore, the candidate will identify and integrate external data sources (e.g., APIs, web scraping) to enhance campaign and influencer assessments. They will utilize web scraping techniques to collect additional data from relevant websites and forums.

In terms of predictive modeling, the candidate will develop Predictive Models using Regression, Time Series Analysis, and Machine Learning techniques (e.g., Random Forest, SVM) to forecast campaign outcomes. They will employ ARIMA, Prophet, or LSTM models for time series forecasting of campaign metrics and use tools like Google Analytics or Adobe Analytics for campaign performance evaluation.

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.

Welcome to King Group - a place where the best people from the IT and gambling industries meet to do amazing things together. We operate numerous projects in the iGaming sector in the markets of Ukraine, Europe and the USA, invest in venture startups, promising ideas and people.
 

One of our companies is a game studio that deals with the full cycle of iGaming product development. From idea to release, we combine creativity, modern technologies and deep analytics to create a unique gaming experience. Our mission is to excite, inspire and shape the future of the industry.

Our company is looking for a math expert who has a drive and passion (perhaps some experience) for games.

Key skills (it's not necessary to have all key skills, but more is better than less):
 

• Higher education in mathematics or related fields (related to research, analytics or data processing);
• Have a strong math background (especially probability theory, statistics, combinatorics);
• Advanced knowledge of MS Excel (statistical, mathematical functions);
• Be proficient at one (at least) programming language (Python is preferable);
• Knowledge of one of the CAS (Mathematica, Mathcad, Maxima);
• Have a strong math background (especially probability theory, statistics, combinatorics);
• Have previous experience in gaming industry or (and) have experience in playing slots (or any other probabilistic games (poker, blackjack, etc));
• Understand the time and memory complexity of your code;
• Be keen on details (Yes, it's really important at this position);
• Understanding OOP Concepts;
• Experience in developing mathematical models.
   

Nice to have:

• Experience in using git;
• Experience in using JIRA.
   

Responsibilities: 

• Prepare math for slot games;
• Discuss with business/ propose new game ideas/new feature ides;
• Implement game logic of new features, games;
• Gather games' statistics by precise calculations / running simulations of the games;
• Make games attractive for players from the math side.
   

Why we:

• Social Package;
• Medical care;
• Sick Days;
• Professional development support;
• Family-like atmosphere. You can check it out yourself ;)
• Great career prospects.
  
  Do you want to grow with us? Do you have the desire to take an active part in creating a product? Send your resume and let's get to know each other ;)

Requirements: 

• Experience with Python and R;
• Experience with SQL, NoSQL;

• Experience with Docker, Kubernetes;

• Familiarity with cloud platforms;

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

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.

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.

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!

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. 

Working hours: 11 AM - 7 PM CET

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

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.

Hello! We, VMK GROUP, are a young and successful IT company.
We started in 2022, a difficult year for Ukraine, so we are happy to join the companies that support the economy of our country!

Today, our company encompasses three primary divisions:

VMK Group - Software development
VMKhealth - Full-cycle pharmaceutical digital agency
VMKteam - IT recruiting and staffing.

Each division is represented by a team of experts specializing in technical and industry-specific matters. Currently, our projects are being developed not only in Ukraine but also internationally.

Our client is developing an AI-powered cost estimation calculator for construction projects. The current industry process involves multiple manual iterations between architects and estimators, costing a lot of money per iteration and taking up to 2 weeks. Their solution significantly reduces both time and cost by automating key steps.

About the role:

We are seeking a Data Scientist/ML Engineer with experience in RAG pipelines and browser-based AI models. You will work on integrating AI-driven cost estimation workflows, model building, and computational simulations—all within a browser-based environment.
 

Responsibilities

• Develop and optimize ML-powered cost estimation models.
• Implement RAG pipelines in a browser-based environment.
• Collaborate with developers to integrate AI components into the frontend.
• Work with real-world construction data to improve model accuracy.
• Optimize computational models for performance and efficiency.
   

Requirements

• 3+ years of experience in ML engineering or data science.
• Experience with RAG pipelines and in-browser ML/AI processing.
• Understanding of computational models for financial or engineering simulations.
   

What do we offer?

• Competitive compensation;
• Flexible work schedule;
• Remote work;
• Opportunity to communicate with experienced teams.
   

If you have such experience and are ready to work for quality and results, we will be happy to continue our communication. We are waiting for your resume.

Про компанію VMK GROUPDevelopment and support of creative technical solutions
More than 7 years of experience that helps building effective products and marketing strategies

PIN-UP Global is an international holding specializing in the development and implementation of advanced technologies, B2B solutions and innovative products for the iGaming industry.

Our holding is represented in seven countries (Cyprus, Ukraine, Poland, Kazakhstan, Armenia, Peru, Malta). The headquarters of the holding is located in Cyprus.

We are looking for a Data Scientist to join our team!

Requirements:

- Proven experience in analysis of large amount of data;

- Experience in solving customer behavior prediction tasks;

- Knowledge of ML algorithms for regression, classification, clustering, ability to apply them to business problems;

- Solid experience in SQL;

- Extensive experience with Python for data processing, modeling, and visualization;

- Deep understanding of statistics, probability theory;

- Passion to drive projects from R&D to business value.

Will be plus:

- Familiarity with AWS infrastructure and toolchain (SageMaker, CloudFormation, CloudWatch, etc.);

- Familiarity with BI tools (Metabase, Tableau);

- Experience with tools for managing ML workflows;

- Knowledge and experience with algorithms and data structures;

- Knowledge of OOP;

- Understanding of containerization technologies (Docker);

- Participation in Kaggle competitions.

Responsibilities:

- Developing and testing machine learning models for customer behavior prediction, deploying to production;

- Working with tabular data collecting, cleaning, and exploring datasets, building ML pipelines;

- Applying statistical methods to analyze and interpret data, finding patterns, insights to improve quality of models;

- Maintaining existing models;

- Communicating and presenting results.

Benefits:

🍀 An exciting and challenging job in a fast-growing product holding, the opportunity to be part of a multicultural team of top professionals in Development, Engineering and Architecture, Management, Operations, Marketing, etc;

🤝 Great working atmosphere with passionate IT experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;

📍Beautiful offices in Limassol, Warsaw, Almaty, Yerevan — work with comfort and enjoy the opportunity to build a network of connections with IT professionals day by day;

🧑‍💻 Laptop & all necessary equipment for work according to the ecosystem standards;

🏖 Paid vacations, personal events days, days off;

🫖 Paid sick leave;

👨‍⚕ Medical insurance;

💵 Referral program — enjoy cooperation with your colleagues and get a bonus;

📚 Educational support by our L&D team: internal and external trainings and conferences, courses on Udemy;

🦄 Multiple internal activities: online platform with newsletters, quests, gamification, and presents for collecting bonuses, PIN-UP talks club for movie and book lovers, board games cozy evenings, special office days dedicated to holidays, etc;

🎳 Company events, team buildings.