Jobs

Projects in various Healthcare subdomains, implemented using the HL7 FHIR standard for international clients from regions including the Middle East, Asia, the US, and Europe.

Responsibilities
•  Design and build web UIs with a focus on UX, performance, accessibility, and scalability.
•  Work with modern stacks: Next.js 15 (App Router, Server/Client Components, SSR/streaming/PPR) and/or React + Vite.
•  Integrate client data and AI: GraphQL (incl. Relay) or AI SDKs (e.g., Vercel AI SDK) with streaming and structured outputs.
•  Build robust forms and local state; implement i18n (next-intl or Lingui), theming, and design tokens.
•  Write and maintain tests: E2E (Playwright or Cypress) and unit (Vitest + Testing Library).
•  Collaborate with product, backend, analytics, and DevOps; participate in design/architecture and code reviews.

Requirements (must‑have)
•  Experience with React + TypeScript (TypeScript‑first mindset).
•  Production experience with Next.js 13+/15 (App Router, Server/Client Components, SSR/streaming/PPR) and/or Vite.
•  Strong HTML/CSS, responsive layouts, and familiarity with a11y.
•  Client-side GraphQL experience (Relay or other clients) and API integrations; OAuth 2.0/OIDC flows.
•  Tailwind CSS; experience with component layers like shadcn/ui and Radix UI; ability to work with Mantine or Ant Design in existing codebases.
•  Testing: Playwright and/or Cypress; Vitest + Testing Library.
•  Monorepo practices with pnpm + Turborepo (caching, dependency graph, pipelines).
•  Solid Git discipline and CI‑oriented development.

Nice to have
•  AI/LLM integrations: Vercel AI SDK (ai/ ai-sdk/*), streaming UIs, summaries, structured outputs (Zod).
•  Analytics and data: Cube.js on ClickHouse; Drizzle ORM + drizzle‑kit; Postgres/Redis integrations.
•  Auth: next-auth/jose/keycloak; deeper experience with OAuth 2.0/OIDC and token handling best practices.
•  tRPC in web services.
•  Backend (for full‑stack): NestJS + Fastify or Hono, GraphQL (Apollo), MikroORM/Drizzle + Postgres.
•  Observability/performance: OpenTelemetry, profiling, bundle/SSR optimization.
•  CI/CD and local environments: GitHub Actions, Docker Compose for local services.
•  Localization in practice: next‑intl or Lingui, translation management.

Process and quality
•  Linting/formatting: ESLint, Biome, Prettier 3 (including import sorting).
•  Testing strategy: Playwright or Cypress for E2E; Vitest + Testing Library for unit; reliable dev‑server health checks.
•  Database migrations/schemas: drizzle‑kit with peer review.
•  UI consistency: semantic tokens, theme control, and accessibility checks.

Security and privacy
•  Handle sensitive data (PHI/PII) safely: never log secrets or personal data.
•  Prefer local LLM providers when appropriate to increase privacy.

We offer

• Competitive compensation.
• Full equipment for remote work.
• Full remote setup, with the option to work from our Kyiv office (Business Center Europe Plaza, near the metro).
• Corporate English classes via Zoom (fully covered by the company).
• Paid time off, vacation, and 100% paid sick days.
• Additional New Year holidays.
• Opportunities to impact the direction of projects and product growth.
• Interesting and large-scale projects.
• Dynamic, professional team.

• Supportive and responsive management.

   

  ✨ If this sounds like the right fit for you, we’d love to hear from you — apply and let’s talk!

   

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.

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 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 :)

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

Currently, we’re looking for an Outreach Specialist responsible for finding ways to generate more backlinks for a company’s website, thus strengthening our SEO process.

Requirements:

• At least two years of experience in white-hat link building and guest posting;
• At least an Upper-Intermediate level of English;
• Strong understanding of Outreach/Link building strategies;
• Basic knowledge of SEO principles;
• Proficiency in Google Docs and Google Sheets;
• Basic HTML knowledge;
• Experience working with Ahrefs, Semrush, Search Console, Google Analytics, and similar SEO tools.

Responsibilities:

• Find quality websites to publish guest posts and sponsored content.
• Analyze and keep an eye on competitors’ backlink profiles.
• Reach out to webmasters, editors, and bloggers to get links placed.
• Use AI to create content, or request content from our team or copywriting agencies when needed.
• Keep an eye on the quality and indexing of published backlinks.
• Get involved in various content marketing activities.
• Regularly create reports on outreach and link-building performance.
• Come up with fresh ideas for outreach and link-building strategies.

Would be a plus:

• Copywriting skills;
• Additional foreign language.

Work conditions:

• Global Exposure: Engage with international audiences across EMEA and CEE regions, expanding your reach and impact.
• Creative Freedom: Take the lead in experimenting with new outreach strategies and channels, where your creative approaches are valued and encouraged.
• Supportive Leadership: Join a team that celebrates your achievements, supports your growth, and fosters a collaborative work environment.
• Competitive Remuneration: Enjoy a competitive salary with a clear and fair bonus system tied to your performance.
• Flexible Remote Schedule: Work flexibly remote or join us for a coffee in Kyiv or Prague offices.
• Comprehensive Leave: 24 vacation days, 14 sick leaves and bank holidays.
• Continuous Learning: Access sponsored educational opportunities such as webinars, meet-ups, company-sponsored English learning groups to keep your skills sharp and relevant.
• When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
• Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes.

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

Responsibilities:

• Lead and manage a team of business development professionals, providing guidance, support, and mentorship to help them achieve their targets and objectives.
• Develop and execute effective business development strategies to drive growth and expand market share.
• Identify new business opportunities and potential clients through market research, networking, and lead generation activities.
• Build and maintain strong relationships with existing and potential clients, understanding their needs and providing tailored solutions to meet their requirements.
• Collaborate with cross-functional teams, including sales, operations & marketing, and product development, to ensure alignment and maximize business opportunities.
• Monitor and analyze market trends, competitor activities, and customer feedback to identify areas for improvement and refine business development strategies.
• Prepare and present regular reports on business development activities, performance metrics, and achievements to senior management.
• Stay up-to-date with industry developments, emerging technologies, and market trends to identify new business opportunities and maintain a competitive edge.
• Conduct training sessions and workshops to enhance the skills and knowledge of the business development team members.
• Foster a positive and collaborative team culture, promoting a high-performance mindset and maintaining a motivating work environment.

Work conditions:

• Be a Pioneer: This role offers a unique opportunity to significantly contribute to our expansion in new and strategic markets.
• International Career Growth: As Cloudfresh expands globally, you’ll have the opportunity to build a career with international exposure, working on projects that span EMEA, Middle East, Central Asia and CEE regions, while deepening your knowledge of top-tier cloud technologies.
• At Cloudfresh, we champion internal growth. Successful BDRs are actively mentored and provided a defined route to acquire direct sales closing experience and advance to become Junior Account Executives.
• Work with Top Cloud Products: Gain hands-on experience with leading products from Google, Zendesk, Asana, Hubspot, Microsoft, Okta, GitLab, and Miro, enhancing your professional growth.
• Supportive & Dynamic Environment: Join a team where innovation is encouraged, and your contributions help shape the future of Cloudfresh.
• Competitive Remuneration: Enjoy a competitive salary with a transparent and fair bonus system tied to your performance.
• Flexible Remote Schedule: Work flexibly remotely or join us for a coffee in Kyiv or Prague offices.
• Comprehensive Leave: 24 vacation days, bank holidays, and 14 days of sick leave.
• Continuous Learning: Access sponsored educational opportunities such as webinars, meet-ups, and company-sponsored English learning groups to keep your skills sharp and relevant.
• When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR). Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes.

Analytical Skills and Requirements Management

• 5+ years of experience working as a Business Analyst in the IT industry.
• Expertise in gathering, formalizing, and managing requirements in complex product environments.
• High-quality functional description skills: user stories, epics, acceptance criteria, test cases, task setting — performed at a level that requires no additional validation.
• Ability to manage requirements end-to-end — from idea to release and post-release analysis.
• Confident experience with integration/API requirements and technical-level documentation.
• Ability to think not only in terms of functionality but also in terms of business value and product goals.

Modeling and Systems Thinking

• Strong process visualization skills: BPMN, UML, etc.
• Deep understanding of system architecture, component interaction, and integrations.
• Experience analyzing existing processes, identifying bottlenecks, and proposing optimizations.

Product and Strategic Experience

• Solid experience working with mobile and/or web products, including product metrics.
• Hands-on experience in roadmap creation and participation in both long-term and sprint planning.
• Experience contributing to product strategy in close collaboration with Product Managers.
• Ability to work with analytics and A/B testing: formulating hypotheses, validating them through data analysis.

Leadership, Facilitation, and Communication

• Confident collaboration with stakeholders at all levels, ability to conduct business discussions and drive alignment.
• Experience in leading the business analysis direction — mentoring, reviewing requirements, supporting the BA practice.
• Strong facilitation skills: interviews, discovery phases, workshops, prioritization, roadmap sessions.
• Ability to resolve conflicts and maintain focus on delivering value.

Would Be a Plus: Experience in the e-commerce domain.

Growth Focus:This role is designed with a growth path to Lead Business Analyst, including responsibility for establishing BA practices, aligning BA processes, mentoring junior analysts, and participating in strategic product decision-making.

Company Description

Hideez is a provider of Identity and Access Management Solutions that help organizations eliminate passwords and ensure secure access to various systems. Finance, Healthcare, Production, Education, and government agencies rely on Hideez to simplify logins, speed up authentication, and protect against phishing attacks.

Role Description

This is a full-time remote role for a Sales Manager at Hideez. The Sales Manager will be responsible for driving new business, managing client accounts, developing sales strategies, and delivering presentations to potential customers. The role will also involve collaborating with the marketing team to support lead generation efforts.

Qualifications

• Sales, Business Development, and Account Management skills
• Experience in developing and implementing sales strategies
• Excellent communication and negotiation skills
• Ability to build and maintain client relationships
• Knowledge of identity and access management solutions is a plus
• Proven track record of meeting and exceeding sales targets

DevOps Hands-On Architecture, GCP, GKE, CI/CD, IAAS as a Code, Configuration Management tools, Security and Networking, Linux, Distributed tracing systems

Profisea is an Israeli DevOps and Cloud boutique company with a full cycle of services. For more than nine years, we have been implementing best practices of GitOps, DevSecOps, and FinOps, and providing Kubernetes-based infrastructure services to help businesses of all sizes —SMB, SME, or large enterprise clients to stay innovative and effective. 

Requirements: 

• 5 years’ experience as a DevOps Engineer and at least 1 year experience in practical development of DevOps Architecture 
• High Proficiency in GCP 
• Proven Experience with GKE 
• Proven Experience with CI/CD tools, IAAS as a Code. 
• Good understanding of infrastructure related components and protocols – Networking, Security, Virtualization 
• Git usage skills and branching strategies understanding 
• English: Upper-intermediate+ 

Your Responsibilities: 

• Be a part of international team of experts with a warm and friendly atmosphere 
• Build cloud-based and open-source tools-based DevOps solutions for our highly technological and well-established customers 
• We promise to surprise you with exciting new projects from a variety of industries. 
• All we need from you is your desire to do great things! 

What We Offer: 

• Great Salary  
• Flexible working hours 
• Professional certifications support 
• Rewarding working environment and flexible career opportunities 

NuxGame works with iGaming operators of all sizes, helping companies enter new markets or strengthen existing brands. As a company developing software for gaming casinos, NuxGame offers solutions that allow you to create outstanding brands and achieve your business goals. We invite an IT Recruiter to join our team.
 

What will your responsibilities include:
 

• Using resources to search for candidates: linkedin, djinni, job sites, boolean search, x-ray search;
• Evaluating resumes and professional skills of candidates;
• Supporting communication with candidates during the selection process;
• Maintaining a database of candidates, updating information.
• Conducting interviews with candidates
   

What we expect from a candidate:

• Experience in recruiting from 2 years
• Experience in searching on platforms Linkedin, Djinni, Work.ua, etc.
• English level: Upper-Intermediate or higher
   

What We Offer:
 

• Work Format: Remote work format.
• Working Hours: Typically 09:00/10:00 to 17:00/18:00 (Kyiv time) (Monday-Friday).
• Compensation: Timely payment of competitive wages (salary).
• Employment: Official employment.
• Leave: 24 days of vacation annually.
• Team Environment: A friendly team and pleasant atmosphere without pressure or stress; open and democratic work organization.
• Projects: Interesting work on successful projects within the dynamic iGaming sector

Core Responsibilities

• Design, develop, and maintain backend services in Node.js to support data-driven dashboards.
• Build efficient data pipelines for aggregating, transforming, and preparing data from multiple sources (databases, APIs, flat files).
• Develop and optimize RESTful or GraphQL APIs to feed dashboard frontends.
• Collaborate with frontend engineers, data analysts, and product managers to define dashboard requirements.
• Implement data models and storage solutions (SQL/NoSQL) for efficient querying.
• Optimize data queries and API responses for real-time or near real-time dashboard updates.
• Ensure data integrity, consistency, and accuracy in all visualizations.
• Integrate authentication and authorization for secure dashboard access.
• Participate in code reviews, testing, and deployment processes.
• Work schedule: 4:00 PM – 12:00 AM (Kyiv time)

Required Skills & Qualifications

• 3+ years of professional experience with Node.js in backend development.
• Strong knowledge of JavaScript (ES6+) and familiarity with TypeScript.
• Proficiency with SQL and at least one relational database (PostgreSQL, MySQL) and/or NoSQL database (MongoDB, Redis).
• Experience building REST APIs and/or GraphQL APIs.
• Solid understanding of data structures, ETL processes, and data modeling.
• Familiarity with dashboard frameworks (e.g., Metabase, Superset, Grafana) or integrating with charting libraries (e.g., Chart.js, D3.js, Highcharts).
• Knowledge of API authentication methods (JWT, OAuth2) and role-based access control.
• Understanding of performance optimization for backend services and database queries.
• Proficiency with Git and collaborative development workflows.
• Basic knowledge of Docker or containerized environments.