Jobs

We are VitaUp — a fast-growing international e-commerce brand in the premium supplements niche, selling successfully on Amazon US & EU.

Our products already compete with market leaders (NOW, Pure, Nature Made), and we’re scaling fast with a data-driven approach to marketing.

We are looking for a Paid Advertising Specialist (PPC) who is passionate about performance marketing, eager to take ownership of budgets, and ready to grow into Amazon advertising.

This role is perfect for someone with a strong background in Google Ads or Facebook Ads who wants to specialize in Amazon PPC and work with large budgets in highly competitive categories.

What you will do
 

• Manage and optimize paid campaigns across Amazon (Sponsored Products, Brands, Display).
• Research and test keywords, targeting strategies, and placements to maximize sales and ROAS.
• Monitor and improve key metrics: CPC, CTR, CVR, ACOS, TACOS.
• Suggest and implement listing improvements (titles, keywords, creatives) to support ad performance.
• Collaborate with product and design teams to develop growth strategies.
• Stay up-to-date with PPC trends, especially in e-commerce and Amazon.

What we offer
 

• Impact: You will manage campaigns where every optimization has a direct impact on revenue and rankings.
• Growth: Chance to shape advertising strategy for a premium international brand.
• Learning opportunity: If you’re strong in Google/Facebook Ads, we’ll teach you the specifics of Amazon PPC.
• Result oriented flexible working schedule.
• Data-driven culture: we make decisions based on numbers, not guesswork.
   

What you bring
 

• 2+ years of experience in PPC (Google Ads, Meta Ads, or Amazon Ads).
• Strong analytical skills and ability to work with performance metrics.
• Confident with A/B testing, keyword research, bid management.
• Good written English (our reporting is in English).

• Curiosity and willingness to learn Amazon-specific tools and strategies.

   

Role: DevOps Engineer

Location: Remote (Europe-based preferred)

Cooperation type: Full-time

RouteGenie provides innovative software solutions for Non-Emergency Medical Transportation (NEMT) companies.

We help transportation providers fully automate their operations - from intelligent dispatching and optimized route planning to comprehensive reporting, trip pricing, and invoicing.

With several new projects underway, we’re growing fast and looking for talented people to join our team.

What We Look For

• AWS Cloud Stack hands-on experience
• Strong Linux administration skills
• Strong networking skills (TCP/IP, DNS, load balancers, PKI/TLS, network security, etc.)
• Hands-on experience with cloud multi-tenant infrastructure
• Experience with optimizing, updating,  and maintaining relational and NoSQL databases (PostgreSQL, MongoDB, Redis)
• Experience with scripting languages (Bash, Python)
• Experience with CI/CD tools (Jenkins preferred)
• Experience with configuration management tools (Ansible)
• Experience with monitoring and logging systems (Zabbix, ELK, Prometheus\VictoriaMetrics)
• English level: B2+ (Upper-Intermediate or higher)

What You Will Do

• Design, implement, and maintain infrastructure services
• Collaborate with software engineering teams to ensure seamless operations
• Administer, improve, and optimize AWS cloud infrastructure
• Create and maintain CI/CD pipelines
• Troubleshoot complex infrastructure and application issues across environments
• Optimize and maintain databases for high availability and performance

Nice To Have

• Experience with Bitbucket Pipelines
• Experience with streaming and messaging tools (RabbitMQ, Kafka)
• Design, implement, and manage Infrastructure as Code using Terraform
• Manage and optimize Kubernetes clusters (on-premises and AWS EKS) and deploy services with Helm
• Understanding of DevSecOps practices and relevant security certifications (e.g., ISO 27001, SOC 2, PCI DSS)

Our Interview Process

• Initial Screening Call (15 mins)
• Technical Interview with DevOps (60 mins)
• English Proficiency Interview (15 mins)
• Manager Interview (30 mins)

Think you’re a great fit? 
Send over your CV — we’re excited to meet you!

We are looking for an experienced SMM Specialist to drive engagement and expand our brand presence across multiple social media platforms. 

This role is perfect for a specialist who combines strategic thinking with hands-on execution, has a deep understanding of each platform's nuances, and excels at creating content that drives engagement and audience growth.

At JustMarkets you'll work alongside industry professionals in a dynamic and supportive environment where your creativity and expertise will make a real impact.

Responsibilities

• Implement content strategy and campaign development on different GEOs across social media channels (Facebook, Instagram, TikTok, Telegram, Twitter) that prompt our consumer to engage and share with their community regularly.
• Monitor content to ensure it authentically aligns with brand values and positioning.
• To scale innovative ideas from conception to campaign execution, maintaining a distinct yet cohesive brand perspective throughout.
• Cultivate advocacy and engagement through organic channels, ensuring top-tier community management across all business lines.
• Lead competitive tracking of social activity, identify and ideate around new content and monitor the industry for best practices in driving engagement.
• Establish benchmarks and best practices to guide and scale marketing efforts across all channels on certain GEOs.

Requirements

• 3+ years of social media management experience at a B2C brand, preferably within financial services (but not required).
• A thorough understanding of media metrics to track and hit KPl's, and the ability to leverage data insights to determine strategies.
• Experience with social media / Influencer management tools (Sprout Social, RivallQ, Tribe, Telemetr.io, Hootsuite, etc.)
• Experience with FinTech, Crypto, Gambling.
• Working with African or Asian market is required.
• Proficient with social video + photo content capture; must be comfortable editing content on their own, as well as working closely with video editors/design team.
• Demonstrated experience working with video editing platforms such as CapCut, In-Shot, etc.
• Trend savvy with a deep understanding of Social media trends, slang, etc on the chosen GEOs.

Will be a plus

• Background in the FinTech niche.
• Experience in launching influencer campaigns on social media.
• Knowledge of regional specifics of African and Asian markets.

We offer

• Work with diverse markets (Asian, MENA) and cutting-edge social media strategies to make a real impact
• Collaboration with a dynamic, international team of professionals passionate about innovation and growth
• Opportunity to unleash your creativity and analytical skills to develop high-performing campaigns
• Access to advanced tools and technologies to support creative and impactful campaigns
• Tax expenses coverage for private entrepreneurs in Ukraine
• Expert support and guidance for Ukrainian private entrepreneurs
• 20 paid vacation days people r year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

Real people. Real impact. One team.
Who We Are

We are a fast-growing international iGaming/Betting company, working with partners all around the world. As we expand our affiliate network, we are now looking for an experienced Affiliate Manager to strengthen our presence in the LATAM region.

What You Will Be Doing

• Searching for, attracting, and onboarding new affiliate partners in LATAM.
• Developing and managing an active partner base (goal: +30–50 active partners in the first 3 months).
• Monitoring traffic quality, ensuring KPIs are achieved.
• Keeping track of market trends and competitors to expand acquisition channels.
• Analyzing campaign efficiency and suggesting improvements.
   

What Makes You a Great Fit

• 1+ year of proven experience in affiliate marketing within iGaming/Betting.
• Own or active partner base in LATAM (must-have).
• Negotiation experience in Spanish.
• English proficiency at B2 level.
• Understanding of LATAM market specifics.
•  Responsible, result-oriented, with knowledge of ROI and partner payout mechanics.
   

What`s in it For you

• Above-market fixed salary + performance bonuses based on partner revenue.
• Flexible schedule & fully remote work.
• Supportive and friendly international team.
• Career growth opportunities within 3 months, depending on performance.
• Ready-to-use banner book and marketing materials.
   

Let’s Wrap It Up

If you’re passionate about affiliate marketing and ready to drive results in LATAM, we’d love to hear from you. Bring your network, your skills, and your ambition — we’ll bring the tools, the support, and the opportunities to help you succeed.

We’re looking for a strategic, results-driven marketing lead to structure, lead, and scale the marketing function across our two core products. You’ll manage an existing team (Head of Marketing, SMM, outsource creatives) and work directly with the C-suite to set KPIs, build systems, and drive growth.

Responsibilities

• Build and execute half-year and full-year marketing strategies.
• Define and track KPIs for performance, lead generation, and team productivity.
• Lead weekly planning, execution monitoring, and monthly reporting of all marketing efforts.
• Systemize the lead acquisition + lead management flow.
• Spot growth opportunities, test new channels, and scale what works.

Qualifications

• 3+ years in digital marketing, with a proven strategic and team leadership background.
• Experience in Affiliate Marketing and paid performance channels (Google, Meta).
• Strong analytical skills — confident with dashboards, KPIs, and reporting.
• Proficiency in applying AI tools for work tasks.
• PR and partnership management experience is a plus.
• Upper-intermediate English (B2).

We Offer

🌍 Remote work from anywhere 🌴 Unlimited paid vacation days 🤒 10 paid sick days 🗣 English classes 📚 Take part in conferences worldwide

Who we are?
We are building a next-generation AI-native sales automation platform for B2B teams. Our goal is to change the very paradigm of how people interact with business applications.

Manual data entry becomes a thing of the past as the platform proactively connects to your communication and information channels. It seamlessly captures, structures, and transforms data into real-time, actionable awareness.

You no longer work for the tool. The tool works for you, anticipating your needs, surfacing the right context at the right moment, and guiding your next steps with intelligence and precision.

Our vision is to give teams an always-on AI-driven partner that lets them focus entirely on creating value and closing deals.
 

Philosophy

We value open-mindedness, rapid delivery and impact. You’re not just coding features-you shape architecture, UX, and product direction. Autonomy, accountability, and a startup builder’s mindset are essential.
 

Requirements

• Strong backend: Python, FastAPI, Webhooks, Docker, Kubernetes, Git, CI/CD.
• Hands-on with OpenAI-family LLMs, LangChain/LangGraph/LangSmith, prompt engineering, agentic RAG, vector stores (Azure AI Search, Pinecone, Neo4j, hFAISS).
• SQL, Pandas, Graph DBs (Neo4j), NetworkX, advanced ETL/data cleaning, Kafka/Azure EventHub.
• Proven experience building and operating retrieval-augmented generation (RAG) pipelines.
• Familiarity with graph algorithms (community detection, similarity, centrality).
• Good English (documentation, API, teamwork).
   

Nice to Have

• Generative UI (React).
• Multi-agent LLM frameworks.
• Big Data pipelines in cloud (Azure preferred).
• Production-grade ML, NLP engineering, graph ML.
   

Responsibilities

• Design, deploy, and maintain GenAI/RAG pipelines for the product
• Integrate LLM/agentic assistants into user business flows.
• Source, ingest, cleanse, and enrich external data streams.
• Build vector search, embedding stores, and manage knowledge graphs.
• Explore and implement new ML/GenAI frameworks.
• Mentor developers and encourage team knowledge-sharing.
   

What else is important:

• Startup drive, proactivity, independence.
• Willingness to relocate/freedom to travel in Europe; full time.
• Eagerness to integrate latest AI frameworks into real-world production.
   

Our Team

Agile, tight-knit product group (5–6 experts) with deep experience in SaaS, AI, graph data, and cloud delivery. We move fast, give each member autonomy, and engineer for impact- not just features.
 

Who takes a final decision:

The team makes the decision based on a technical interview.
 

Our benefits

• Startup culture: minimal bureaucracy, maximum flexibility
• Remote-first: work from anywhere
• Unlimited vacation — we value results, not hours spent
• Opportunity to grow together with an AI-first product company
• Direct impact on a breakthrough AI-native product
   

Recruitment process

1. HR interview (VP Team) — Technical prescreen (Q&A)
2. Technical interview with CTO/Data Officer (real-life case)
3. Offer

About Portside, Inc.

Portside is a leading provider of modern software solutions for the global aviation industry. As a fast-growing SaaS company, we operate across three key verticals: business aviation, regional commercial aviation, and aircraft leasing & finance. With nearly 300 team members spread across five continents, we support over 1,000 enterprise customers, helping them streamline and manage all aspects of their day-to-day operations.

Job Summary

We are looking for an experienced Python engineer to join our business aviation team. In this role, you will work at the intersection of technology, people, and processes to develop and support integrations of aviation products, optimize system performance, and enhance the speed and quality of software development.

Key Responsibilities 

• Design and implement software solutions using the company’s technology stack, following industry best practices like SOLID, DRY, KISS, IoC, design patterns, etc.
• Design database schemas, manage database operations with SQL, ensuring efficient database reliability
• Write unit and integration tests, collaborate with management on managing the test strategy and overall quality of the company products
• Adhere to the company’s code and development standards
• Manage technical debt, identify technological risks, and collaborate with the management and development team on risk mitigation strategies
• Refactor existing software components in order to eliminate technical debt and improve application extensibility
• Estimate software development work, including major long-term projects and large features
• Deploy software releases to production and other environments
• Use and maintain CI/CD pipelines in coordination with the DevOps team
• Use and maintain AWS services in coordination with the DevOps team
• Conduct code reviews
• Troubleshoot production issues

Qualifications

• 3+ years of Python and Django software development experience, ideally in backend or integration-heavy environments
• Experience in refactoring code, a solid understanding of the refactoring methodologies, and code smells
• Experience in maintaining adherence to coding standards and development best practices
• Experience in conducting code reviews
• Experience in writing automated tests, measuring test coverage, and defining test automation strategies
• Experience in working with CI/CD pipelines, good understanding of SDLC best practices and deployment procedures, strong knowledge of Git
• Experience with AWS and Kubernetes is a plus
• Strong knowledge of SQL and experience designing complex database solutions, experience working with ORMs and database migrations
• Strong and consistent understanding of GraphQL and REST API
• Ability to explain complex technical concepts to non-technical people, as well as the ability to explain business requirements to other engineers
• Ability to estimate engineering work, identify risks and strategies for their mitigation
• Experience in mentoring software engineers is a plus
• Excellent verbal and written communication skills
• Practical and results-oriented engineering mindset
• Interest in business aviation and becoming a domain expert in the field

What We Offer

• Competitive base salary
• Fully remote work
• Generous time off policy
• Opportunities for professional development and career advancement.
• Dynamic, collaborative, and fast-growing work environment.

We are developing an ERP system, which consists of different modules. We are looking for an experienced DevOps Engineer to support our development teams by automating infrastructure, optimizing CI/CD pipelines, and ensuring the reliability and scalability of our systems. 

 Requirements

• Understanding of Python development.
• Understanding of creating and maintaining Python packages and dependencies.
• Working experience with PyTest and/or Contract Testing implementations
• Expertise in unit, integration, and E2E test implementations for micro services and REST API’s.
• Expertise in creating maintainable, well-tested code with proper error handling.
• Solid understanding of RESTful composition and service endpoints.
• Experience with AWS, particularly with S3, EKS, ECR, Lambda, or similar services.
• Understanding in designing and implementing automated CI/CD workflows (Experience with GitHub Actions workflow design and implementation).
• Good understanding of Docker image composition / build and optimisation.
• Experience with of Kubernetes. (on-hands with rancher k3s will be a big plus)
• Familiarity with observability and monitoring, metrics collection / performance benchmarking.

Nice to Have

• Experience in GoLang development would be a plus.
• Basic knowledge of JS / TS .

• Experience with terraform / terragrunt / pulumi / CDK or similar IaC instrumentation.

   

Responсibilities

• Understand, maintain and implement auth (oidc, saml) and other RBAC policies across organisation infrastructure.
• Build and own hybrid infrastructure across cloud and multiple on-prem environments
• Maintain CI/CD pipelines for data migration, release management and testing across multiple target environments.
• Maintain and optimise docker / k8s environments for development and deployment.
• Develop Python libraries and APIs for internal orchestration
• Implement data versioning and dataset management solutions.

Responsibilities:

• Understand, maintain and implement auth (oidc, saml) and other RBAC policies across organisation infrastructure.
• Build and own hybrid infrastructure across cloud and multiple on-prem environments
• Maintain CI/CD pipelines for data migration, release management and testing across multiple target environments.
• Maintain and optimise docker / k8s environments for development and deployment.
• Develop Python libraries and APIs for internal orchestration
• Implement data versioning and dataset management solutions.

We offer:

• Competitive compensation.
• Opportunity to work on a large-scale ERP project.
• Direct impact on business processes and system architecture.
• Professional development, motivation and learning opportunities.
• Flexible working schedule and a collaborative team environment.

About the Client and Product:
Our client provides one of the world’s leading online video platforms, designed to power live streaming, online presentations, virtual conferences, events, tutorials, and training sessions. Leveraging advanced browser-based video capture technologies, the platform supports thousands of simultaneous viewers during live events.

Built with state-of-the-art video pipeline technologies—similar to those used by leading organizations like Amazon Video and Netflix—the platform encodes and streams millions of minutes of video content annually, making it a key player in the digital video space.

About the Role:
We are looking for a GenAI Engineer to design, develop, and deploy generative AI solutions. You will work with product teams to integrate AI capabilities, improve automation, and enhance user experiences.

Responsibilities:

• Build, fine-tune, and deploy AI models and pipelines.
• Design scalable AI solutions for text, code, image, or multi-modal generation.
• Evaluate and optimize model performance.
• Collaborate with cross-functional teams on AI integration.

• Mentor junior engineers and share best practices.

   

Requirements:

• 3–7 years of software engineering experience.
• Hands-on experience with AI/ML models, including generative AI.
• Strong software design and problem-solving skills.
• Clear communication and teamwork abilities.

• Upper-Intermediate English or higher. 

   

Preferred:

• Experience with chatbots, content generation, or AI assistants.

• Familiarity with LLMs, embeddings, or retrieval-augmented generation.

   

We Gladly Offer:

• Work in a flexible, Agile, multinational team where innovation and collaboration drive success.
• An opportunity to leverage your skills and experience to build state-of-the-art software products while expanding your expertise in cutting-edge technologies.
• Access to training and continuous learning opportunities to grow your skill set and stay ahead in the evolving tech landscape.
• The chance to work with leading global clients across industries and gain domain expertise in AWS and cloud-based solutions.
• A modern office located in the city center, providing a dynamic and inspiring workspace.
• Flexibility to work both remotely and on-site, allowing you to balance professional and personal commitments effectively.

About Strim Duo

Strim Duo is a creative digital studio based in Limassol, Cyprus. We specialize in social game development, product engineering, UX/UI design, custom software solutions, mobile apps, and post-launch product support.
Our mission is to build products that work seamlessly across devices, delivering engaging experiences for millions of users worldwide.
 

Role Overview

We are looking for a SEO Specialist (Middle/Senior) with experience in the iGaming industry to strengthen our online presence and attract new target audiences through effective search engine optimization.
 

Requirements

• At least 2 years of proven SEO experience, preferably in iGaming or related fields.
• Strong knowledge of search engine algorithms, SEO best practices, and ability to adapt to changes quickly.
• Successful track record in SEO projects, ideally with gaming or payment platforms.
• Hands-on experience with tools such as Ahrefs, Screaming Frog, Google Search Console, A-parser, ChatGPT, Google Sheets.
• Strong analytical and communication skills.
• English level: Intermediate (B1+) or higher.
• Basic knowledge of HTML is a plus.
   

Responsibilities

• Perform on-page SEO optimization, semantic clustering, and create detailed technical tasks for implementation.
• Conduct technical SEO audits of websites.
• Collaborate with developers, designers, and copywriters to ensure SEO best practices are applied.
• Launch new projects with SEO in mind and perform competitor/market analysis to identify growth opportunities.
   

Benefits

• Flexible remote/hybrid work setup with a global team.
• 21 days of annual paid vacation.
• 12 paid sick days per year.
• Health insurance coverage.
• Performance-based bonuses and incentives.
• Open communication with leadership and a culture that values your ideas.

About the role:

We are looking for Web UA Manager to join our team for our new fast-growing AI-powered web project MySpicy.ai, focused on AI virtual dating experience.

Your Impact

• Take ownership, manage, and optimize paid campaigns across Facebook Ads, Google Ads, TikTok
• Analyze campaign performance, test hypotheses, and scale successful strategies
• Collaborate cross-functionally with product, creative, and analytics teams to align acquisition goals
• Launch campaigns, write briefs, troubleshoot issues, and dive into data as needed
• Identify new growth opportunities and continuously improve conversion funnels
• Monitor and manage acquisition spend to meet performance KPIs

Requirements

• 3+ years of experience in web user acquisition, performance marketing, or growth marketing
• Proven track record running Facebook and Google Ads with strong ROI
• Strong understanding of subscription-based monetization models
• Experience with multiple quiz set-ups
• Analytical mindset with experience in A/B testing
• Experience with budgets 100k+ monthly
• Familiarity with tools like Google Analytics, Meta Ads Manager, and performance tracking platforms
• Comfortable working independently in a fast-paced, remote environment

What We Offer

• A passionate, skilled team with zero bureaucracy — just results
• Competitive salary that lets you focus on your work and personal growth
• Professional development: access to courses, workshops, and a corporate library
• 20 days of paid vacation, health insurance, and regular sports activities
• A collaborative culture: team buildings and fun events inside and outside the office

Warmy.io is an AI-powered platform that helps businesses land in inboxes, not spam folders. We are a fast-growing global startup, trusted by companies worldwide to improve email deliverability and outreach performance.

As we grow, we’re looking for a CRO & PPC Manager - someone proactive, and curious - to support our marketing team across a variety of tasks. 

What You'll Do

• Assist with content creation and simple designs in Canva
• Support copywriting, idea generation, and creative brainstorming with tools like ChatGPT
• Help update and manage content in WordPress (no coding required)
• Assist with Google Ads setup and ad creation (under guidance)
• Participate in creating Meta/TikTok ads – both visual and video (together with a video editor)
• Support the execution of CRO experiments and A/B tests
• Take ownership of marketing-related tasks
• Communicate clearly and professionally with the team
• Suggest improvements and stay organized across multiple tasks
   

What We’re Looking For

• A humble, proactive attitude with a strong desire to learn
• Ability to think critically, solve problems, and work independently
• A good sense of design and content structure
• Strong organizational skills and task management
• Fluent or advanced English (written + verbal)
• Ability to work in a remote team and ask for help when needed
   

Nice to Have (but not required)

• Experience with B2B
• Simple video editing workflows
   

What We Offer

• Remote, full-time B2B contract
• Monthly compensation in USD via bank transfer (SWIFT)
• 12 PTO days, 10 sick days, and recognition of public holidays
• A friendly, supportive, and fast-growing environment
• Full access to tools, training, and mentorship from your manager
• The opportunity to grow into a full-fledged digital marketing specialist
   

If you're excited about digital marketing, love to learn, and want to grow inside a global SaaS startup - apply now and join the Warmy.io journey!

PIN-UP Global is an international holding company specializing in developing and implementing advanced technologies, B2B solutions and innovative products.

We ensure certification and licensing of our products, providing customers and partners of the holding company with high-quality and reliable solutions.

PIN-UP Global is represented in Cyprus, Poland, Kazakhstan, Armenia, Peru, Malta. The holding’s headquarters is located in Cyprus.

We’re looking for a sharp and driven Senior Data Analyst to join our team!

Responsibilities:

- Extracting, cleaning, and analyzing data from various sources;

- Identify reporting needs, manage priorities and assess data readiness;

- Assisting in maintaining and improving data pipelines;

- Monitoring data accuracy and identifying anomalies;

- Documenting data processing logic and analytics workflows.

Requirements:

- Proficiency in SQL;

- Understanding of data visualization principles, experience with Tableau or other BI tools;

- Familiarity with Excel/Google Sheets (pivot tables, basic formulas);

- Analytical thinking and ability to work with large datasets;

- Basic understanding of statistics and data analysis;

- Attention to detail and accuracy in data processing;

- Solid knowledge of main traffic types and their tracking;

- Strong communication and teamwork skills.

Will be plus:

- Experience with Python (pandas, NumPy) for data analysis;

- Knowledge of ClickHouse or other analytical databases;

- Experience working with APIs and automation of data collection;

- Familiarity with Jira and Confluence for task management and documentation

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 Warsaw, Limassol, 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 holding 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;

🗣Free internal English courses;

🤸‍♀Sport benefit;

🦄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.

We are seeking an experienced Senior/Middle Data Scientist with a passion for large language models (LLMs) and cutting-edge AI research. In this role, you will design and implement a state-of-the-art evaluation and benchmarking framework to measure and guide model quality, and personally train LLMs with a strong focus on Reinforcement Learning from Human Feedback (RLHF). You will work alongside top AI researchers and engineers, ensuring our models are not only powerful but also aligned with user needs, cultural context, and ethical standards. The benchmarks and feedback loops you own serve as the contract for quality—gating releases, catching regressions before users do, and enabling compliant, trustworthy features to ship with confidence.

What you will do

• Analyze benchmarking datasets, define gaps, and design, implement, and maintain a comprehensive benchmarking framework for the Ukrainian language.
• Research and integrate state-of-the-art evaluation metrics for factual accuracy, reasoning, language fluency, safety, and alignment.
• Design and maintain testing frameworks to detect hallucinations, biases, and other failure modes in LLM outputs.
• Develop pipelines for synthetic data generation and adversarial example creation to challenge the model’s robustness.
• Collaborate with human annotators, linguists, and domain experts to define evaluation tasks and collect high-quality feedback.
• Develop tools and processes for continuous evaluation during model pre-training, fine-tuning, and deployment.
• Research and develop best practices and novel techniques in LLM training pipelines.
• Analyze benchmarking results to identify model strengths, weaknesses, and improvement opportunities.
• Work closely with other data scientists to align training and evaluation pipelines.
• Document methodologies and share insights with internal teams.

Qualifications and experience needed

Education & Experience:

• 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP.
• Proven experience in machine learning model evaluation and/or NLP benchmarking.
• An 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.
• Solid understanding of RLHF concepts and related techniques (preference modeling, reward modeling, reinforcement learning).
• Ability to write efficient, clean code and debug complex model issues.

Data & Analytics:

• Solid understanding of data analytics and statistics.
• Experience creating and managing test datasets, including annotation and labeling processes.
• 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 is a plus.

Communication:

• Experience working in a collaborative, cross-functional environment.
• Strong communication skills to convey complex ML results to non-technical stakeholders and to document methodologies.

A plus would be

Advanced NLP/ML Techniques:

• Prior work on LLM safety, fairness, and bias mitigation.
• Familiarity with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
• Knowledge of data annotation workflows and human feedback collection methods.

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) indicates 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 benchmarks, or familiarity with other evaluation datasets and leaderboards for large models, can be an advantage given our 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.

What we offer:

• Office or remote — it’s up to you. You can work from anywhere, and we will arrange your workplace.
• Remote onboarding.
• Performance bonuses for everyone (annual or quarterly — depends on the role).
• We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners. 
• Health and life insurance.
• Wellbeing program and corporate psychologist.
• Reimbursement of expenses for Kyivstar mobile communication.

We are seeking 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 develop model training pipelines with other talented data scientists. Your work will directly shape the quality and capabilities of our models by ensuring we feed them the highest-quality, most relevant data possible. The datasets you build directly determine model capability, safety, and cost, raising downstream task accuracy, reducing training waste, and accelerating time-to-market for product teams.

What you will do

• 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.

Qualifications and experience needed

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.).
• An 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, and data requirements.

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 is a plus.

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.
• Ability to rapidly prototype and iterate on ideas

A plus would be

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 a similar processing pipeline 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)

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 our 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.

What we offer

• Office or remote — it’s up to you. You can work from anywhere, and we will arrange your workplace.
• Remote onboarding.
• Performance bonuses.
• We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners.
• Health and life insurance.
• Wellbeing program and corporate psychologist.
• Reimbursement of expenses for Kyivstar mobile communication.