Jobs

🌍 About the Company

We help businesses grow through long-term tech partnerships and contribute to the engineering community by sharing knowledge and creating opportunities.
Our values: Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness, Result Driven.

We offer a safe, inclusive, and productive environment where every team member can thrive. Work remotely or from modern offices in Kyiv and Lviv (equipped with stable Wi-Fi and electricity).

✅ Requirements

• 7+ years in IT with strong knowledge of JavaScript/TypeScript
• Expertise in Node.js (Nest.js) and scalable application design
• Solid experience with React
• Proven record of leading complex projects and mentoring teams
• Experience with AWS or other cloud providers
• Strong architectural design skills, experience in pre-sales & discovery phases
• Business mindset; background in FinTech/EdTech is a plus
• English level: Upper-Intermediate+

🚀 Responsibilities

• Conduct pre-sales activities: NFR elicitation, architecture definition, estimations, risk analysis
• Lead discovery phases
• Recommend external libraries and tools to improve development efficiency
• Conduct and support code review processes
• Participate in R&D activities and POC execution
• Conduct interviews with external candidates
• Troubleshoot and improve code when necessary

🎯 Nice to Have

• Experience with Python, PHP, or .NET
• Experience working in competence/SDO office
• Background in solution audit services

💎 What’s in It for You

• Competitive salary (fixed + performance bonus)
• Challenging and stable projects with a modern stack
• Corporate English courses and daily practice with global clients
• Paid professional development (courses, certifications)
• Career growth & salary reviews (semi-annual + annual)
• Equipment provided for work
• VIP medical insurance or sports package
• Friendly and non-bureaucratic environment
• Flexible working hours (start between 8:00–11:30)
• 18 paid vacation days + sick leaves
• Unlimited remote work worldwide
• Cozy offices in Kyiv & Lviv (with generator & Starlink)
• Coworking compensation (outside Kyiv & Lviv)
• Corporate lunches, team buildings, soft skills clubs
• Involvement in a corporate charity fund

⚡️ If you’re passionate about designing scalable solutions, leading teams, and driving technical excellence — let’s talk!

We’re looking for a motivated IT Recruiter Intern who is eager to learn and contribute to our talent acquisition efforts.

Requirements:
— Completed courses in IT recruitment;
— Familiarity with sourcing strategies;
— Understanding of how to conduct HR interviews effectively;
— Analytical mindset with the ability to assess candidates and recruitment data critically;
— Understanding of IT roles and terminology;
— Passion for recruitment and technologies;
— Ability to work in a fast-paced environment and handle multiple tasks;
— Strong communication and interpersonal skills;
— Self-motivated and eager to learn;
— Proficiency in English at an Upper-Intermediate level or higher.
Please note that we kindly ask candidates to submit their resumes only if they fully meet all the requirements listed in the job description. This helps us ensure the best match for the role and streamlines the selection process. Thank you for being so understanding!

Responsibilities:
This role is ideal for someone passionate about human resources and technology, as well as enthusiastic about learning the recruitment process from the ground up.

Will be a plus:
— Knowledge of the Polish language will be regarded as a significant advantage.

Working conditions:
— Internship schedule: Monday to Friday, 10.00–19.00;
— Odesa office-based/remote work;
— No time trackers or other bureaucratic measures;
— Networking with experienced professionals willing to share their knowledge and experience;
— Opportunity to obtain a contract with HYS Enterprise as a Junior Specialist;
— Gifts for birthdays and professional holidays;
— Participation in internal and external events.

Position Summary

The FinTech Business Analyst will be responsible for defining and driving business requirements, as well as communicating them to key stakeholders, including the CEO, CPMO, and partners, for PayStream.com's platform. This role involves close collaboration with engineering, design, and business teams to deliver innovative and scalable solutions that meet market needs.

Responsibilities

• Business Requirement Elicitation with the main stakeholders, form the proper PDR and prepare for solution design:
  • Perform initial product analysis to assess the need and impact of changes.
  • Drive consumer intelligence through internal and external data sources.
  • Develop and adopt research tools and methods for product marketing intelligence.
  • Ensure compliance with relevant legislation, regulations, and ethical standards.
  • Identify and manage product rationalisation.
  • Ensure third-party compliance with business processes and policies.
• Monitor the market, competitors, and prices, and provide recommendations to support decision-making discussions based on best Agile practices.
  • Support product decisions with quantitative data.
  • Create and monitor metrics to evaluate user satisfaction with the product direction.
  • Understand metrics and the reasons behind changes.
  • Understand users, including why a product works for some and not others.
• Liaise with other departments, such as IT, design, and the product office, to improve the efficiency of price changes.

Qualifications

• Proven experience in the FinTech industry.
• Strong understanding of the technology industry, API, and software development.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration abilities.
• Ability to work in a fast-paced and dynamic environment.

Reporting Structure

This role reports to the CPMO.

Key Relationships

• Engineering Team
• Design Team
• Business Development Team
• Marketing Team

We’re looking for a motivated Business Analyst  with 1.5–2 years of experience to join our growing team.

In this role, you’ll work closely with clients and the development team, shaping project requirements from discovery to delivery. You’ll take ownership of the full BA cycle, help keep projects on track, and ensure clarity between business goals and technical implementation.

 We’ll also consider PM or QA with a BA background, if you’re ready to focus fully on a BA role.

If you enjoy analyzing, structuring information, and seeing a project grow from an idea into a working product — this might be the right place for you.

Responsibilities

• Gather, clarify, and document requirements from stakeholders
• Translate business needs into clear user stories, use cases, and acceptance criteria
• Conduct discovery sessions, workshops, and backlog refinement
• Support the team throughout the entire project lifecycle (from initiation to release)
• Manage and prioritize requirements across several projects simultaneously
• Act as a bridge between clients, PMs, and developers, ensuring shared understanding
• Help prepare project documentation: specifications, roadmaps, flow diagrams

• Monitor scope and support change management when needed

   

Requirements

• 1.5–2 years of experience as a Business Analyst in IT
• Upper-Intermediate English (B2+) for daily client communication
• Ability to work on a project from start to finish (discovery → delivery)
• Experience managing multiple projects at the same time
• Strong analytical and communication skills
• Solid understanding of SDLC, Agile methodologies (Scrum/Kanban)
• Attention to detail, self-organization, and structured thinking
• Openness to learn and grow with the team
• Knowledge of estimation techniques and working with tech teams
   

Nice-to-Haves (but not compulsory)

• Experience in startups or early-stage projects
• Familiarity with wireframing/prototyping tools (Figma, etc.)

• Understanding of UX basics

   

What You’ll Get

• Access to a highly organized team (PMs, QAs, devs, all in place)
• Paid vacation and sick leave
• Flexible, friendly working culture
• Opportunities to grow and test your hypothesis
• Corporate English classes
• If this sounds like something for you, drop us your resume and a short intro.
  We’d love to hear your story.

About company:

Snowball is a San Francisco- and Kyiv-based FinTech startup building tools that make
cryptocurrency simple and accessible. Our flagship products are the Snowball App (a
crypto wallet for buying and selling tokens) and the Modular Name Service (MNS), a
cross-chain digital identity system that lets users attach a unique name to their wallet
address across different blockchains.
About the Role
As QA at Snowball, you’ll ensure our products meet functional requirements and
provide a smooth user experience. You will design and execute test plans, report and
track bugs in Jira, and proactively contribute to improving our testing processes. This
role focuses on manual testing across mobile and desktop apps.
What You’ll Be Doing
● Design and execute test plans for new features and releases.
● Verify and reproduce reported bugs and regressions.
● Document bugs clearly in Jira and track their status.
● Collaborate with the team to organize and execute testing activities.
● Perform manual testing on mobile (Android, iOS) and desktop (Windows, Mac).
● Monitor support channels (email, Slack, Telegram), reproduce user-reported
issues, and report outcomes.

What We Look For (Required)

● Demonstrated experience reporting and tracking bugs.
● Experience with Jira.
● Attention to detail and structured problem-solving.
● Strong communication skills in English.

● Experience working in remote teams.

Nice to Have (Preferred)
● Experience testing blockchain apps, crypto wallets, or dApps.
● Familiarity with collaboration tools such as Slack.
● Basic understanding of Web3 concepts.

What You’ll Get
● Join the Web3 Revolution: Contribute to products at the frontier of blockchain.
● Impactful Work: Your testing will directly shape user experience.
● Remote Flexibility: Work from anywhere, as long as you communicate well and
attend team meetings.

We are hiring a top skilled Senior Frontend Engineer to build and operate the FE of our web trading platform.

Qualifications:

- 6+ years of experience with TypeScript;

- SolidJS production experience — required.

- Client-side GraphQL APIs with urql;

- Real time UI over WebSockets;

- Strong CSS fundamentals with Tailwind CSS;

- Performance and reliability at scale;

- English: upper intermediate or higher.

What You’ll Be Working On:

- Build trading and token launch flows in SolidJS and TypeScript;

- Turn Figma designs into clean, responsive UI;

- Maintain a Tailwind CSS component library and design tokens;

- Work with GraphQL APIs via urql;

- Add real time updates over WebSockets;

- Keep the app fast and stable;

- Collaborate with backend.

Good to Have:
- Understanding of blockchain and cryptocurrency tech;

- Experience with Web3 integrations;

- Experience with trading or similar real-time products;

- TanStack.

Recruitment Process:

1. Test assignment.

2. 30-45 minute interview with FE Team Lead.

PIN-UP Global is an international holding specializing in the development and implementation of advanced technologies, B2B solutions and innovative products. We provide certification and licensing of our products, providing customers and partners of the holding with high-quality and reliable solutions.

We are looking for a Retention Marketing Manager to join our team!

Requirements:

- Experience in drafting and conducting marketing activities for player retention and return;

- Knowledge and ability to calculate the economy of the basic mechanics of bonuses, tournaments, lotteries, daily quests;

- Strong English skills, with ability to write and communicate briefs and tasks;

- Experience with client segmentation, preferably RFM;

- Knowledge of marketing and niche metrics: CvR, Margin, LTV, ARPU, RR, GGR, NGR, etc.

- Understanding of basic approaches to A/B testing and hypothesis testing to optimize marketing activities;

- Experience working with analytics tools: GA, Tableau, Power BI, Google Data Studio;

- Knowledge of market and competitor analysis methods.

Responsibilities:

- Monthly planning of marketing activities to retain and return players;

- Creation of communication plans via multiple channels (onsite/offsite);

- Forming logic and participating in launches of trigger chains;

- Setting tasks for cross-functional departments;

- Calculation of predictions with further analytics of held actions;

- Communication with the team to develop a general strategy.

What are the conditions and bonuses?

🍀 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.

Drive platform growth by identifying, engaging, and closing new operator partnerships. Represent the company at key industry events, deliver tailored product demos, and gather competitive insights to influence commercial and product strategies.
 

Your tasks:

1. Lead Generation & Prospecting

• Identify and research potential operator partners in key regions;
• Proactively manage outbound and inbound lead pipelines via LinkedIn, CRM tools, and direct outreach;

2.Commercial Negotiation & Deal Closure

• Deliver customized product presentations and demos to prospective clients;
• Manage the entire sales cycle: from first contact to signed contract;
• Ensure smooth post-deal handover to the Account Management team;

3. Industry Events & Networking

• Represent the company at international iGaming events (e.g., SiGMA, ICE, iGB);
• Build and maintain strategic relationships to grow the partner network;

4. Market Research & Benchmarking

• Analyze competitors’ go-to-market strategies and product offerings;
• Provide internal stakeholders with relevant market intelligence and best practices;

5. CRM & Sales Pipeline Management

• Keep CRM fully updated with contact history, pipeline stage, and action items;
• Report on pipeline performance and forecast deal closures.

Our criteria:

• 2+ years in B2B sales or business development within the iGaming sector (platforms or providers);
• Strong communication, presentation, and negotiation skills;
• Proven experience in closing international deals (Europe, LATAM preferred);
• Fluent English (C1+), written and spoken;
• Willingness to travel to events and client meetings;
• Solid knowledge of iGaming business models, verticals, and industry ecosystem.

Success Metrics:

• Number of new operator partnerships signed (quarterly/yearly);
• Demo-to-deal conversion rate;
• Projected GGR impact from closed deals;
• Value and frequency of shared market intelligence and competitor insights.
   

Our offer:

• We are global, we don’t stick to office or remote options only;
• We value work-life balance and start anytime from 8 to 11, with flexible lunchtime;
• We trust each other and provide unlimited vacation days and sick-leaves;
• We support our people and provide relocation options for team members, who are interested;
• We encourage growth and cover 50% of learning expenses;
• We hold yearly performance reviews to help our team members grow and reach new heights, and reward results with regular performance bonuses;
• We believe in potential and prefer to promote internally, giving everyone a chance to prove themselves, and building our company around talents above anything else;
• We are small enough to hear the opinion of every team member, and already big enough to act on the best ideas - an opportunity to have a visible and immediate impact;
• We celebrate our team with corporate gifts and thoughtful appreciation throughout the year.

🚀 Join Us at Stitch.ai– Senior Full-Stack Developer Wanted!

We’re a small but mighty product team building stitch.ai - an AI-powered productivity workbench that brings email, calendar, tasks, notes, contacts, and files all under one roof. Think Outlook or Gmail/Workspace — but with an AI twist that stitches everything together, surfaces relationships, and recommends the right context at the right time.

We’ve been heads down in stealth for the past few years, and now we’re gearing up for public launch. Our product is already 85% complete — feature-rich, fully working, and just waiting for the last round of feature improvements and polish. 
 

Who We Are

We’re a remote-first startup of 9 passionate builders:

• 5 senior developers
• 1 ML engineer
• 1 DevOps
• 1 PM
• 1 Janitor
   

We’re looking to add another senior full-stack developer to our crew as we push toward launch.
 

Why You’ll Love It Here

• 💻 Full-time role, full-time salary
• 🎉 Early-stage perks – opportunities for profit sharing/early employee upside
• 🌍 100% remote team (work from anywhere)
• Wide technical playground
• Engineering focused team
   

Our Playground (Tech Stack)

Angular • TypeScript • Node.js • NestJS • PostgreSQL • Elasticsearch • RabbitMQ • Redis • Docker • Kubernetes • LLM/ML … and more.

If you love working across a broad stack and aren’t afraid to get your hands dirty from front-end polish to backend scaling, you’ll feel right at home.

We’re builders. We ship. We iterate. We have fun. And we’re creating something we’re genuinely excited to use ourselves.

👉 Does this sound like your kind of challenge? Come help us stitch the future of productivity together.

👉 Salary can be further discussed for the right candidate.

Job Description

As a Senior Full Stack Developer, you will play a critical role in designing, developing, and optimizing our web applications and backend systems. You will work on both the client-side and server-side architecture, ensuring our systems are highly scalable, resilient, and secure. You will be responsible for managing complex data flows and maintaining robust microservices architecture to handle high-traffic environments and critical service requirements.

Key Responsibilities

Full-Stack Development: Design, develop, test, and deploy front-end (Angular) and back-end (Node.js, Nest.js, Express.js) applications, with a focus on performance, security, and scalability.

Microservices Architecture: Build and maintain a microservices-based architecture, ensuring each service is modular, scalable, and can handle large and complex data flows efficiently.

Database Management: Design, optimize, and maintain PostgreSQL databases to handle extensive data processing requirements while ensuring high performance and reliability.

API Development: Develop and maintain RESTful APIs that are well-documented, secure, and meet high service requirements.

Performance Optimization: Continuously monitor and improve application performance, particularly in high-traffic situations, to ensure a seamless user experience.

Code Review & Mentorship: Conduct code reviews to ensure high-quality code and mentor junior developers, promoting best practices in code quality, architecture, and design patterns.

Collaboration & Communication: Work closely with cross-functional teams, including Product, UX/UI, and DevOps, to deliver robust and user-centered solutions. Document processes and technical designs thoroughly.

Required Skills & Qualifications

Professional Experience: 7+ years of full-stack development experience, with a focus on large-scale web applications and high-traffic environments.

Proficiency in Tech Stack:

Front-End: Angular

Back-End: Node.js, Nest.js, Express.js

Database: PostgreSQL

Strong Understanding of Microservices Architecture: Experience in designing, building, and deploying microservices-based systems, with knowledge of handling complex and large data flows.

Experience with High-Traffic Applications: Proven experience in building applications that handle high-traffic loads and ensuring uptime, scalability, and performance under pressure.

DevOps & CI/CD Knowledge: Familiarity with DevOps practices, including CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) is a plus.

Problem-Solving Mindset: Demonstrated ability to tackle complex technical challenges and continuously learn and adapt to new technologies and solutions.

Preferred Skills

Cloud Platforms: Experience with AWS, Google Cloud, OVH

API Security & Authentication: Knowledge of security best practices, including OAuth, JWT, and data encryption.

Search products like ElasticSearch or OpenSearch

Data Management: Experience with caching solutions (e.g., Redis), message brokers (e.g., RabbitMQ, Kafka), and other tools for optimizing data flows.

POSITION OVERVIEW

We are looking for a QA engineer who will join us in the DashDevs QA team to contribute to the development of a biometric-based identity verification solution. We expect a new team member to work independently and proactively (look for details and answers, not just wait patiently for a reply), and be comfortable raising challenges and proposing software improvements. It is vital that you have good communication skills and a proven ability to work well with both technical and non-technical colleagues and be comfortable working with minimal supervision.

General project description 

We’re working on a next-generation identity verification and passwordless authentication platform built with a privacy-first approach. The solution integrates live biometrics, digital identity wallets, and blockchain-based architecture to ensure secure, seamless user authentication. The system encrypts and manages sensitive data using private keys, ensuring compliance with global data privacy standards and eliminating the risks of credential phishing. It’s a highly innovative and secure environment designed to redefine how digital identity is managed and protected.

The size and the structure of the team 

From DashDevs team on the client’s side, work 1 FE developer and 5 QAs (manual and automation). You will work with some of our Ukrainian colleagues QAs, as well as with QA TL and Project manager on the client’s side, who will manage your daily tasks.

YOUR BACKGROUND

• 5 years of commercial experience in Web apps testing, both E2E and API
• Experience with Program Languages (JavaScript / TypeScript) 1+ year
• Strong knowledge in QA process and methodology
• Understanding of the client-server application architecture
• Experience in the creation of test documentation (test cases, checklists, test plans)
• Experience with REST API testing
• Experience with Postman API testing and advanced scenario scripting
• Experience with GitHub
• English level - B2

Skills that will be a plus:

• Experience with Authorizations protocols (SAML, OpenID, SSL/TLS)
• Experience with Mongo DB
• Experience with Google Cloud

RESPONSIBILITIES

• Perform functional and UI/UX testing of web applications
• Perform smoke, sanity, regression, integration, E2E, acceptance testing, API testing
• Take responsibility for QA deliverables within a sprint
• Analyse and review feature requirements
• Create test documentation (test cases, checklists, bug report, test reports)
• Participate in scrum activities
• Enhance product knowledge base
• Take part in QA process improvements within a team
• Participate in verbal and written communication with the team

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.

About the role:
We are looking for an experienced Senior/Middle Data Scientist with a passion for Large Language Models (LLMs) and cutting-edge AI research. In this role, you will focus on designing and prototyping data preparation pipelines, collaborating closely with data engineers to transform your prototypes into scalable production pipelines, and actively developing model training pipelines with other talented data scientists. Your work will directly shape the quality and capabilities of the models by ensuring we feed them the highest-quality, most relevant data possible.

Requirements:
Education & Experience:
- 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP.
- Proven experience in data preprocessing, cleaning, and feature engineering for large-scale datasets of unstructured data (text, code, documents, etc.).
- Advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.
NLP Expertise:
- Good knowledge of natural language processing techniques and algorithms.
- Hands-on experience with modern NLP approaches, including embedding models, semantic search, text classification, sequence tagging (NER), transformers/LLMs, RAGs.
- Familiarity with LLM training and fine-tuning techniques.
ML & Programming Skills:
- Proficiency in Python and common data science and NLP libraries (pandas, NumPy, scikit-learn, spaCy, NLTK, langdetect, fasttext).
- Strong experience with deep learning frameworks such as PyTorch or TensorFlow for building NLP models.
- Ability to write efficient, clean code and debug complex model issues.
Data & Analytics:
- Solid understanding of data analytics and statistics.
- Experience in experimental design, A/B testing, and statistical hypothesis testing to evaluate model performance.
- Comfortable working with large datasets, writing complex SQL queries, and using data visualization to inform decisions.
Deployment & Tools:
- Experience deploying machine learning models in production (e.g., using REST APIs or batch pipelines) and integrating with real-world applications.
- Familiarity with MLOps concepts and tools (version control for models/data, CI/CD for ML).
- Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop, Ray, Dask) for scaling data processing or model training.
Communication & Personality:
- Experience working in a collaborative, cross-functional environment.
- Strong communication skills to convey complex ML results to non-technical stakeholders and to document methodologies clearly.
- Ability to rapidly prototype and iterate on ideas

Nice to have:
Advanced NLP/ML Techniques:
- Familiarity with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
- Understanding of FineWeb2 or similar processing pipelines approach.
Research & Community:
- Publications in NLP/ML conferences or contributions to open-source NLP projects.
- Active participation in the AI community or demonstrated continuous learning (e.g., Kaggle competitions, research collaborations) indicating a passion for staying at the forefront of the field.
Domain & Language Knowledge:
- Familiarity with the Ukrainian language and context.
- Understanding of cultural and linguistic nuances that could inform model training and evaluation in a Ukrainian context.
- Knowledge of Ukrainian text sources and data sets, or experience with multilingual data processing, can be an advantage given the project’s focus.
MLOps & Infrastructure:
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
- Experience in working alongside MLOps engineers to streamline the deployment and monitoring of NLP models.
Problem-Solving:
- Innovative mindset with the ability to approach open-ended AI problems creatively.
- Comfort in a fast-paced R&D environment where you can adapt to new challenges, propose solutions, and drive them to implementation.

Responsibilities:
- Design, prototype, and validate data preparation and transformation steps for LLM training datasets, including cleaning and normalization of text, filtering of toxic content, de-duplication, de-noising, detection and deletion of personal data, etc.
- Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
- Analyze large-scale raw text, code, and multimodal data sources for quality, coverage, and relevance.
- Develop heuristics, filtering rules, and cleaning techniques to maximize training data effectiveness.
- Collaborate with data engineers to hand over prototypes for automation and scaling.
- Research and develop best practices and novel techniques in LLM training pipelines.
- Monitor and evaluate data quality impact on model performance through experiments and benchmarks.
- Research and implement best practices in large-scale dataset creation for AI/ML models.
- Document methodologies and share insights with internal teams.

The company offers:
- Competitive salary.
- Equity options in a fast-growing AI company.
- Remote-friendly work culture.
- Opportunity to shape a product at the intersection of AI and human productivity.
- Work with a passionate, senior team building cutting-edge tech for real-world business use.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.

About the role:
We are looking for a Data Engineer (NLP-Focused) to build and optimize the data pipelines that fuel the Ukrainian LLM and NLP initiatives. In this role, you will design robust ETL/ELT processes to collect, process, and manage large-scale text and metadata, enabling the Data Scientists and ML Engineers to develop cutting-edge language models.

You will work at the intersection of data engineering and machine learning, ensuring that the datasets and infrastructure are reliable, scalable, and tailored to the needs of training and evaluating NLP models in a Ukrainian language context.

Requirements:
- Education & Experience: 3+ years of experience as a Data Engineer or in a similar role, building data-intensive pipelines or platforms. A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is preferred. Experience supporting machine learning or analytics teams with data pipelines is a strong advantage.
- NLP Domain Experience: Prior experience handling linguistic data or supporting NLP projects (e.g., text normalization, handling different encodings, tokenization strategies). Knowledge of Ukrainian text sources and data sets, or experience with multilingual data processing, can be an advantage given the project’s focus.
Understanding of FineWeb2 or a similar processing pipeline approach.
- Data Pipeline Expertise: Hands-on experience designing ETL/ELT processes, including extracting data from various sources, using transformation tools, and loading into storage systems. Proficiency with orchestration frameworks like Apache Airflow for scheduling workflows. Familiarity with building pipelines for unstructured data (text, logs) as well as structured data.
- Programming & Scripting: Strong programming skills in Python for data manipulation and pipeline development. Experience with NLP packages (spaCy, NLTK, langdetect, fasttext, etc.). Experience with SQL for querying and transforming data in relational databases. Knowledge of Bash or other scripting for automation tasks. Writing clean, maintainable code and using version control (Git) for collaborative development.
- Databases & Storage: Experience working with relational databases (e.g., PostgreSQL, MySQL), including schema design and query optimization. Familiarity with NoSQL or document stores (e.g., MongoDB) and big data technologies (HDFS, Hive, Spark) for large-scale data is a plus. Understanding of or experience with vector databases (e.g., Pinecone, FAISS) is beneficial, as the NLP applications may require embedding storage and fast similarity search.
- Cloud Infrastructure: Practical experience with cloud platforms (AWS, GCP, or Azure) for data storage and processing. Ability to set up services such as S3/Cloud Storage, data warehouses (e.g., BigQuery, Redshift), and use cloud-based ETL tools or serverless functions. Understanding of infrastructure-as-code (Terraform, CloudFormation) to manage resources is a plus.
- Data Quality & Monitoring: Knowledge of data quality assurance practices. Experience implementing monitoring for data pipelines (logs, alerts) and using CI/CD tools to automate pipeline deployment and testing. An analytical mindset to troubleshoot data discrepancies and optimize performance bottlenecks.
- Collaboration & Domain Knowledge: Ability to work closely with data scientists and understand the requirements of machine learning projects. Basic understanding of NLP concepts and the data needs for training language models, so you can anticipate and accommodate the specific forms of text data and preprocessing they require. Good communication skills to document data workflows and to coordinate with team members across different functions.

Responsibilities:
- Design, develop, and maintain ETL/ELT pipelines for gathering, transforming, and storing large volumes of text data and related information.
- Ensure pipelines are efficient and can handle data from diverse sources (e.g., web crawls, public datasets, internal databases) while maintaining data integrity.
- Implement web scraping and data collection services to automate the ingestion of text and linguistic data from the web and other external sources. This includes writing crawlers or using APIs to continuously collect data relevant to the language modeling efforts.
- Implementation of NLP/LLM-specific data processing: cleaning and normalization of text, like filtering of toxic content, de-duplication, de-noising, detection, and deletion of personal data.
- Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
- Set up and manage cloud-based data infrastructure for the project. Configure and maintain data storage solutions (data lakes, warehouses) and processing frameworks (e.g., distributed compute on AWS/GCP/Azure) that can scale with growing data needs.
- Automate data processing workflows and ensure their scalability and reliability.
- Use workflow orchestration tools like Apache Airflow to schedule and monitor data pipelines, enabling continuous and repeatable model training and evaluation cycles.
- Maintain and optimize analytical databases and data access layers for both ad-hoc analysis and model training needs.
- Work with relational databases (e.g., PostgreSQL) and other storage systems to ensure fast query performance and well-structured data schemas.
- Collaborate with Data Scientists and NLP Engineers to build data features and datasets for machine learning models.
- Provide data subsets, aggregations, or preprocessing as needed for tasks such as language model training, embedding generation, and evaluation.
- Implement data quality checks, monitoring, and alerting. Develop scripts or use tools to validate data completeness and correctness (e.g., ensuring no critical data gaps or anomalies in the text corpora), and promptly address any pipeline failures or data issues. Implement data version control.
- Manage data security, access, and compliance.
- Control permissions to datasets and ensure adherence to data privacy policies and security standards, especially when dealing with user data or proprietary text sources.

The company offers:
- Competitive salary.
- Equity options in a fast-growing AI company.
- Remote-friendly work culture.
- Opportunity to shape a product at the intersection of AI and human productivity.
- Work with a passionate, senior team building cutting-edge tech for real-world business use.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.

About the role:
We are looking for an experienced Senior/Middle Data Scientist with a passion for Large Language Models (LLMs) and cutting-edge AI research. In this role, you will focus on designing and prototyping data preparation pipelines, collaborating closely with data engineers to transform your prototypes into scalable production pipelines, and actively developing model training pipelines with other talented data scientists. Your work will directly shape the quality and capabilities of the models by ensuring we feed them the highest-quality, most relevant data possible.

Requirements:
Education & Experience:
- 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP.
- Proven experience in data preprocessing, cleaning, and feature engineering for large-scale datasets of unstructured data (text, code, documents, etc.).
- Advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.
NLP Expertise:
- Good knowledge of natural language processing techniques and algorithms.
- Hands-on experience with modern NLP approaches, including embedding models, semantic search, text classification, sequence tagging (NER), transformers/LLMs, RAGs.
- Familiarity with LLM training and fine-tuning techniques.
ML & Programming Skills:
- Proficiency in Python and common data science and NLP libraries (pandas, NumPy, scikit-learn, spaCy, NLTK, langdetect, fasttext).
- Strong experience with deep learning frameworks such as PyTorch or TensorFlow for building NLP models.
- Ability to write efficient, clean code and debug complex model issues.
Data & Analytics:
- Solid understanding of data analytics and statistics.
- Experience in experimental design, A/B testing, and statistical hypothesis testing to evaluate model performance.
- Comfortable working with large datasets, writing complex SQL queries, and using data visualization to inform decisions.
Deployment & Tools:
- Experience deploying machine learning models in production (e.g., using REST APIs or batch pipelines) and integrating with real-world applications.
- Familiarity with MLOps concepts and tools (version control for models/data, CI/CD for ML).
- Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop, Ray, Dask) for scaling data processing or model training.
Communication & Personality:
- Experience working in a collaborative, cross-functional environment.
- Strong communication skills to convey complex ML results to non-technical stakeholders and to document methodologies clearly.
- Ability to rapidly prototype and iterate on ideas

Nice to have:
Advanced NLP/ML Techniques:
- Familiarity with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
- Understanding of FineWeb2 or similar processing pipelines approach.
Research & Community:
- Publications in NLP/ML conferences or contributions to open-source NLP projects.
- Active participation in the AI community or demonstrated continuous learning (e.g., Kaggle competitions, research collaborations) indicating a passion for staying at the forefront of the field.
Domain & Language Knowledge:
- Familiarity with the Ukrainian language and context.
- Understanding of cultural and linguistic nuances that could inform model training and evaluation in a Ukrainian context.
- Knowledge of Ukrainian text sources and data sets, or experience with multilingual data processing, can be an advantage given the project’s focus.
MLOps & Infrastructure:
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
- Experience in working alongside MLOps engineers to streamline the deployment and monitoring of NLP models.
Problem-Solving:
- Innovative mindset with the ability to approach open-ended AI problems creatively.
- Comfort in a fast-paced R&D environment where you can adapt to new challenges, propose solutions, and drive them to implementation.

Responsibilities:
- Design, prototype, and validate data preparation and transformation steps for LLM training datasets, including cleaning and normalization of text, filtering of toxic content, de-duplication, de-noising, detection and deletion of personal data, etc.
- Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
- Analyze large-scale raw text, code, and multimodal data sources for quality, coverage, and relevance.
- Develop heuristics, filtering rules, and cleaning techniques to maximize training data effectiveness.
- Collaborate with data engineers to hand over prototypes for automation and scaling.
- Research and develop best practices and novel techniques in LLM training pipelines.
- Monitor and evaluate data quality impact on model performance through experiments and benchmarks.
- Research and implement best practices in large-scale dataset creation for AI/ML models.
- Document methodologies and share insights with internal teams.

The company offers:
- Competitive salary.
- Equity options in a fast-growing AI company.
- Remote-friendly work culture.
- Opportunity to shape a product at the intersection of AI and human productivity.
- Work with a passionate, senior team building cutting-edge tech for real-world business use.

We are looking for a Data Scientist to support a Data & AI team. The role is focused on developing scalable AI/ML solutions and integrating Generative AI into evolving business operations.

About the Role

As a Data Scientist, you will:

• Collaborate with Product Owners, Data Analysts, Data Engineers, and ML Engineers to design, develop, deploy, and monitor scalable AI/ML products.
• Lead initiatives to integrate Generative AI into business processes.
• Work closely with business stakeholders to understand challenges and deliver tailored data-driven solutions.
• Monitor model performance and implement improvements.
• Apply best practices in data science and ML for sustainable, high-quality results.
• Develop and fine-tune models with a strong focus on accuracy and business value.
• Leverage cutting-edge technologies to drive innovation and efficiency.
• Stay updated on advancements in AI and data science, applying new techniques to ongoing processes.

About the Candidate

We are looking for a professional with strong analytical and technical expertise.

Must have:

• 3+ years of hands-on experience in Data Science and ML.
• Experience with recommendation systems and prescriptive analytics.
• Proficiency in Python, SQL, and ML libraries/frameworks.
• Proven experience developing ML models and applying statistical methods.
• Familiarity with containerization and orchestration tools.
• Excellent communication skills and strong command of English.
• Bachelor’s or Master’s degree in Computer Science, Statistics, Physics, or Mathematics.

Nice to have:

• Experience with Snowflake.
• Exposure to Generative AI and large language models.
• Knowledge of AWS services.
• Familiarity with NLP models (including transformers).

We are looking for a CRM Manager to become a valued member of our dynamic team. As a CRM Manager, you will play a pivotal role in nurturing and retaining our existing customer base while driving sustained growth and profitability. If you are a highly motivated individual with a passion for customer relationship management and a proven track record of driving successful retention strategies, we invite you to join our team and make a significant impact on our company's growth trajectory.

HOW YOU WILL MAKE AN IMPACT

• Creating visually appealing emails for trigger campaigns aimed at retaining existing customers.
• Overseeing all aspects of trigger campaigns, from conceptualization to execution. This includes brainstorming campaign ideas, developing strategies, implementing campaign workflows, and making necessary adjustments based on performance metrics and feedback.
• Configuring bonuses to encourage customer retention. This involves determining the type and value of bonuses, setting up bonus structures, and monitoring bonus utilization.
• Developing comprehensive campaign plans focused on reactivation, enhancing player performance, and other retention objectives.
• Implementing gamification elements to enhance customer engagement and loyalty. This involves configuring and managing mini-games, and tournaments within the gaming platform.
• Conducting primary analysis of promo campaigns and their effectiveness.

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• You'll have to have at least 1 year of experience in the iGaming field and be knowledgeable about the best retention practices;
• We will expect you to possess a great deal of information about how to use different communication channels;
• Your technical skills must be at an advanced level;
• Your English level needs to be intermediate or higher;
• We will count on your understanding and insights about the process of user segmentation and content personalization.

WHY YOU’LL LOVE IT HERE:

• Flexible working hours and a remote work setup, so you can plan work around your life and not your life around work!
• Unlimited vacation days and paid sick leave—because your rest matters.
• A competitive compensation that truly reflects your skills and expertise.
• Employee referral bonus and gifts to celebrate your special occasions.
• 50% financial support for learning expenses to supercharge your professional growth!
• A positive atmosphere where you always feel respected and truly belong.
• Inspirational team-building activities that turn colleagues into best friends.
• Wellness benefits: We’ll support your sports passions, from yoga classes to gym memberships.
• Co-working space reimbursement to save your nerves from always working from home :)