Jobs at Djinni

We’re seeking an independent and self-driven Middle Product Manager to help in building a new AI & trading product, defining the next steps, and scaling it.

Responsibilities and duties
 

• Product development: lead the product to launch and drive key business goals in the AI & trading B2C product.
• Strategic planning and execution: drive the strategic planning of the product, from initial concept to execution, ensuring that all product initiatives align with business objectives.
• Market analysis and research: conduct thorough market and competitor analysis to understand industry trends and identify opportunities for product innovation.
• Hypothesis Testing and Validation: develop and test hypotheses through A/B testing and other validation methods to refine and improve product features.
• Analytics and data Interpretation: understand the market & user data, understand it, and distill into actionable insights for product development and enhancement.
• Product roadmap development: craft and maintain a dynamic product roadmap that reflects both short-term and long-term product vision and strategy.
• Backlog management: effectively manage and prioritize the product backlog, ensuring alignment with strategic goals and user needs.
• User needs assessment: continuously assess user needs and feedback, integrating this information into product development to enhance user satisfaction and engagement.
• Cross-functional collaboration: collaborate with teams of developers, designers, marketers and operations team; external partners and stakeholders to align everyone on product goals, expectations, and plans.
• User scenarios and prototyping: design user scenarios while keeping in mind UX, and build low-fidelity product prototypes to cover the product appearance and flow.
   

Requirements:

Experience:

• 2-4 years of proven experience in Product Management.
• Launching products from scratch.
• Background in Web3 startups.

Hard skills: 

• Cryptocurrency /trading.
• Prioritization, market research, customer research, data analytics.
• Experience in A/B testing; understanding of basic UI & UX design principles.
• Customer journey design, wireframing, technical specification writing.
• Experience with Jira, Confluence, Slack, Miro, Figma.

Soft skills:

• Ownership: responsibility for execution and driving measurable business results.
• Communication: ability to convey complex ideas simply and effectively.
• Self-organization: high degree of independence and initiative.
• Team Collaboration: commitment to fostering teamwork and supporting colleagues.

Would be a significant plus:

• AI product adoption (or direct experience in building them).
• Basic programming and technology understanding.

We integrate automation, AI, and robotics to build solutions in the security and defense space. Our focus: intelligent systems that combine embedded software, computer vision, and edge-AI for autonomous platforms.

We're looking for a researcher with a space background to help chart the path for our systems into space. This is an R&D role: you'll investigate the constraints of the space environment, analyze architectural solutions for platforms, and build the technical foundation for decision-making. Ideally, you've already taken part in space projects or studied/worked at a relevant university or research institution.

What you'll do:

• Research the impact of the space environment on our stack;
• Analyze architectural solutions for adapting our systems to platforms;
• Conduct comparative analysis of existing space platforms and missions — Earth observation, space domain awareness, orbital inspection, autonomous docking;
• Define technical requirements for adapting hardware and software to meet space standards;
• Assess commercial viability — identify target market segments, market size, and the competitive landscape;
• Prepare a structured R&D report with technical conclusions, feasibility recommendations, and a roadmap for further research and development;

• Work closely with the engineering team — translating space-domain constraints into concrete technical requirements.

   

Skills & Experience

Required:

• Academic or professional background in space engineering, aerospace, or a related discipline;
• Understanding of space environment physics — radiation effects (TID, SEE, displacement damage), thermal modeling, vacuum-induced material degradation;
• Knowledge of, or willingness to dig into, satellite system architecture — payload, onboard computers, communication subsystems;
• Experience with sensors or optoelectronic systems — understanding the limitations of cameras, optics, and detectors in extreme conditions;
• Systems analysis and scientific research skills — the ability to independently structure research, work with scientific publications, and draw well-founded conclusions;
• Self-direction and the ability to deliver structured results with minimal oversight.

Nice to have:

• Hands-on involvement in a space project, CubeSat mission, or university/research-institution R&D program;
• Familiarity with ECSS standards (E-ST-10, E-ST-20, Q-ST-60) or NASA technical standards;
• Understanding of approaches to space component selection and qualification;
• Background in optics, multispectral/hyperspectral imaging, or lidar systems;
• Experience writing R&D reports or scientific publications.

What we offer:

• Autonomy: complete freedom to choose your research methodology, modeling tools, and analytical approaches.
• Close to engineering: you'll work alongside a team building real systems for autonomous platforms.
• A unique domain: a rare chance to work at the intersection of two cutting-edge fields.
• Remote work: fully remote, flexible schedule, with set hours for team sync.
• Growth: the role can evolve into a permanent R&D position.
• Mission: a direct contribution to Ukraine's defense capability and Europe's security resilience.

If this sounds like you — don't wait, reach out today. We look forward to meeting you :)

Important: We expect AI tools to be part of your daily workflow. Candidates who primarily rely on traditional development approaches and do not actively use modern AI coding tools are unlikely to be a good fit for this role.

Are you an AI-driven Full Stack Engineer who uses modern AI tools to build faster, ship faster, and solve complex problems more efficiently?
 

At GT Protocol, we're not looking for traditional developers. We're building an AI-first engineering culture where AI is deeply integrated into the development workflow — from architecture and coding to testing, debugging, research, and product delivery.
 

We are looking for a Senior Full Stack Engineer who embraces AI-assisted development and understands how to leverage modern AI tools to maximize productivity and focus on solving real business problems rather than spending time on repetitive tasks.
 

About the Role

You will be working on GT Protocol's AI-powered trading and investment platform, helping build products used by thousands of users across Web3, CeFi, and DeFi ecosystems.
 

This role combines backend development, frontend development, AI integrations, trading infrastructure, blockchain analytics, real-time systems, and modern AI-driven engineering practices.
 

You will participate in designing and building scalable products while actively utilizing AI development tools as part of your daily workflow.
 

What We Expect from an AI-Driven Engineer

• Comfortable using AI coding assistants as a core part of the development process
• Experience working with tools such as Cursor, Claude Code, ChatGPT, Gemini, Copilot, Windsurf, or similar solutions
• Ability to effectively use AI for coding, architecture exploration, debugging, code reviews, documentation, testing, and research
• Strong focus on shipping results rather than maximizing manual coding hours
• Curiosity and willingness to continuously adapt to new AI-driven development workflows
• Understanding that AI is a productivity multiplier, not a replacement for engineering fundamentals
   

We believe the future belongs to engineers who can combine strong technical skills with the ability to leverage AI effectively. Our goal is to build a team that operates significantly faster than traditional software teams while maintaining high engineering standards.
 

Responsibilities and Duties

• Participate in the design, development, and maintenance of a sophisticated AI-powered trading platform serving thousands of users worldwide
• Develop and maintain backend services using Python, FastAPI, PostgreSQL, MongoDB, and Redis
• Build modern frontend applications using React, Next.js, TypeScript, and Tailwind
• Integrate centralized and decentralized exchanges, blockchain networks, and third-party APIs
• Design and implement real-time systems using WebSockets, Socket.IO, asyncio, and event-driven architectures
• Develop AI-powered features, portfolio analytics, trading automation, and market intelligence tools
• Build and maintain Telegram-based products and AI assistants
• Collaborate closely with Product Managers, Designers, AI Engineers, and other Developers
• Participate in architectural decisions, code reviews, and continuous platform improvements
• Ensure high performance, scalability, and security across all platform components
   

Work Experience

• 4+ years of commercial software development experience
• Experience building production-grade web applications and APIs
• Experience working with cryptocurrency, trading, fintech, Web3, or blockchain products
• Experience working in distributed remote teams
• Bachelor's degree will be a plus
   

Required Skills

• Strong Python knowledge, FastAPI, asyncio, aiohttp, websockets, SQLAlchemy 2.x (async), PostgreSQL, MongoDB, Redis
• JavaScript, TypeScript, React 18+, Next.js, Redux / Redux-Saga, Tailwind CSS
• Docker, Docker Swarm, Linux, Git
• JWT, RBAC, bcrypt, OTP authentication flows
• aiogram 3, CCXT, web3.py, Solana SDK, Alchemy, CoinGecko, GeckoTerminal APIs
• Cursor, Claude Code, ChatGPT, Gemini, Copilot, Windsurf, or similar
• Experience integrating external APIs
• Understanding of scalable distributed systems
• Experience with real-time applications
   

Will Be a Plus

• Personal projects
• English – B2+
   

About GT Protocol

GT Protocol (Global Trading Artificial Intelligence) is an AI-powered crypto trading ecosystem founded in 2021 and the ultimate AI infrastructure for trading.

GT Protocol enables users to build, backtest, optimize, launch, and execute trading strategies using fully automated AI-driven bots across centralized and decentralized crypto markets (CEX and DEX). Its products provide AI-powered infrastructure for strategy creation, optimization, backtesting, and automated execution across the crypto trading ecosystem.
 

Why GT Protocol?

— Over 100,000 users worldwide trust our products.

— Our platform combines AI, blockchain, trading infrastructure, and Web3 technologies into a single ecosystem.

— We process millions of market data events and integrate with major exchanges and blockchain networks.

— Our team includes experts from Europe, Asia, and the United States working remotely and collaboratively across multiple time zones.

— GT Protocol is backed by industry-leading investors and partners, including BNB Chain, Animoca Brands, ChainGPT, DAO Maker, CoinPayments, and others.

— We are regularly featured by major crypto and technology media and participate in leading blockchain conferences worldwide.

— You'll work on products at the intersection of AI, fintech, trading, and Web3 while helping shape the future architecture of the platform.

Currently, our team consists of talented professionals located across multiple countries. Our main office is based in Odessa, Ukraine; however, many team members work remotely worldwide.

Join something big — be a part of GT Protocol and help build the future of AI-powered investing.

We are looking for a Senior DevOps Engineer to design, build, and operate scalable, highly available infrastructure on AWS. This role is primarily focused on AWS-native container platforms, while also requiring hands-on Kubernetes experience for hybrid workloads, tooling, and platform support.

Experience Level

• 5+ years of professional experience in DevOps, SRE, or cloud infrastructure roles
• 3+ years of hands-on experience operating production workloads on AWS

What You’ll Do

• Design and manage AWS infrastructure using Terraform
• Build and maintain CI/CD pipelines using Jenkins and GitHub Actions
• Deploy, operate, and scale containerized applications using AWS-native container services, including: 
  • Amazon ECS and ECS on Fargate
  • Amazon ECR
  • Application and Network Load Balancers
• Configure and tune autoscaling, high availability, and fault-tolerant architectures
• Work with Kubernetes environments, including cluster-level operations and local cluster setup for development
• Support and improve local developer build environments
• Ensure production systems are reliable, secure, and observable

What We’re Looking For

• Strong hands-on experience with AWS and Infrastructure as Code (Terraform)
• Production experience running containers on ECS and/or Fargate
• Hands-on experience with Kubernetes, including working with clusters in production or development environments
• Solid understanding of autoscaling, redundancy, and resilient system design
• CI/CD expertise with Jenkins and GitHub Actions
• Strong Linux, networking, and troubleshooting skills

Nice to Have

• Experience operating EKS or hybrid ECS/Kubernetes environments
• GitOps or deployment automation experience
• Familiarity with AWS observability and cost-optimization tooling
• AWS certifications

We are looking for a strong Computer Vision and Geospatial AI engineer to work on an AI product in the defence tech domain. The project is long-term and technically challenging

Responsibilities

• Development and optimization of the Computer Vision pipeline
• Working with video streams and processing low-quality video input
• Implementation of cross-view feature matching and image retrieval
• Building and indexing a georeferenced tile database
• Object georeferencing and spatial analytics
• Optimization of inference latency and performance
• Participation in system architecture design

Requirements

Must-have

• 4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with geo-localisation, place recognition, or image retrieval
• Feature extraction with foundation models: DINOv2, CLIP, or equivalent
• Keypoint detection and matching: LightGlue, LoFTR, DISK, SuperPoint
• Contrastive / metric learning: InfoNCE, triplet loss, hard negative mining
• Homography estimation and geometric verification
• Experience with satellite imagery and geospatial data
• Coordinate systems, tile indexing, GDAL
• Vector search: FAISS or other ANN libraries
• Python, PyTorch at production level
• Experience with video pipelines
• Linux, Docker

Nice to have

• PhD in Computer Vision, Photogrammetry, Remote Sensing, Geomatics, or Robotics
• Publications in cross-view localisation, visual SLAM, or UAV navigation
• Experience with degraded or compressed video
• TensorRT, ONNX, edge deployment
• CUDA
• Background in defence, aerospace, or robotics

We are looking for someone who

• Can work not only with ML models but also with production systems
• Can independently build a pipeline and make technical decisions
• Has a practical engineering mindset
• Reads and implements recent research papers
• Understands performance bottlenecks

Tech stack

Python, PyTorch, DINOv2, CLIP, LightGlue, LoFTR, FAISS, GDAL, FFmpeg, Docker, Linux

Work format

• Remote
• Full-time or B2B contract
• Long-term project
• Competitive salary, discussed individually

Domain experience is a plus

• Defence tech
• Drone systems
• Satellite imagery / Remote sensing
• Visual geo-localisation
• ISR / geospatial analytics

We’re looking for a talented Fullstack Engineer with strong experience in Python, React.js, and AWS to join our team in an outstaff role for our client - a startup developing a CRM and project management platform for construction companies

You’ll be working directly with our core team, contributing to architecture decisions, implementing new features, and helping build a scalable, modern SaaS product in Agile environment

 

Frontend

• Experience with React.js
• Strong knowledge of JavaScript/TypeScript
• Experience with Redux
• Experience with AntDesign or similar UI libraries

Backend

• Strong experience with Python (Django)
• Experience with PostgreSQL or other relational databases
• Understanding of SOLID principles and common design patterns
• Experience with AWS and Docker

Nice to have:

• Experience with AI API Integrations

Ми шукаємо AI Engineer, який підсилить нашу команду розробки штучного інтелекту. Це роль не про "просте підключення APІ чи поверхеневий інжиніринг запитів", а про глибоку інженерну й системну рооту на інтеграцію LLM, розробкою аріхектурних даних.
Якщо ти зацікавлений у даній позиції, читай нижче опис по вимогам/задачам, та якщо ти відповідаєш вимогам, залишай резюме!

Вимоги до досвіду:

• досвід комерційної розробки: не менше 3 років;
  Інструменти та технології: Python, REST API, OpenAPI/Swagger, JSON, Docker, PostgreSQL/MongoDB, Redis, CI/CD;
   
• впевнене володіння Python як основною мовою розробки;
  Необхідна екосистема Python: Python 3.10+, FastAPI, Flask (як плюс), Pydantic, Pydantic AI, asyncio, aiohttp/httpx, requests, SQLAlchemy, Alembic, Celery/RQ, pytest, unittest, mypy, ruff, black, isort, pre-commit, logging, structlog, pathlib, typing, dataclasses;
   
• досвід розробки backend-сервісів, API та інтеграцій;
  Інструменти та технології: FastAPI, REST API, WebSockets, SSE, OpenAPI/Swagger, Postman, JSON Schema, PostgreSQL, Redis, SQLAlchemy, Docker, docker-compose, GitHub Actions/GitLab CI;
   
• обов'язкове вміння самостійно писати чистий, підтримуваний та архітектурно коректний код без використання додаткових ШІ-інструментів (AI tools);
  Необхідні знання: OOP (ООП), SOLID, DRY, KISS, YAGNI, dependency injection, clean architecture, layered architecture, design patterns, error handling, logging, unit/integration testing, code review;
   
• досвід роботи з Docker та базовою інфраструктурою розгортання;
  Інструменти та технології: Docker, Docker Compose, Dockerfile, volumes, networks, multi-stage builds, environment variables, secrets, logs;
   
• досвід розробки ШІ-продуктів (AI products) на базі пропрієтарних моделей;
  Інструменти та технології: OpenAI API, Anthropic Claude API, Google Gemini API, OpenRouter, LiteLLM;
   
• досвід розробки ШІ-продуктів на базі local-hosted моделей;
  Інструменти та технології: vLLM, Ollama, llama.cpp, Text Generation Inference, Hugging Face Transformers, Hugging Face Hub, sentence-transformers, PyTorch, tokenizers, GGUF, AWQ, GPTQ, quantization, batching, streaming inference;
   

• досвід роботи з vLLM / llama-серверами та налаштуванням параметрів інференсу;
  Необхідні знання: context window, max tokens, temperature, top_p, top_k, repetition penalty, stop sequences, seed, batch size, concurrency, latency, throughput, tokens/sec, GPU memory, KV cache, cost per request;

  Інструменти: vLLM, Ollama, llama.cpp, TGI, Prometheus/Grafana (як плюс);
   

• досвід підбору моделей під робочі завдання;
  Необхідні знання: порівняння моделей за якістю, вартістю, latency, context window, multilingual quality, tool calling, structured output, safety, hallucination rate;
  Інструменти: OpenRouter, LiteLLM, Hugging Face Leaderboards, LMSYS/Chatbot Arena (як орієнтир), Langfuse, LangSmith, PromptFoo, DeepEval, Ragas;
   
• досвід роботи з vector RAG;
  Інструменти та технології: LangChain, LangGraph, LlamaIndex, Haystack, Qdrant, Weaviate, Pinecone, Chroma, FAISS, pgvector, Elasticsearch/OpenSearch, BM25, hybrid search, re-ranking;
  Необхідні знання: chunking strategy, embeddings, metadata filtering, query rewriting, retrieval evaluation, rerankers, grounding, citations, hallucination control;
   
• досвід роботи з graph RAG / knowledge graph RAG;
  Інструменти та технології: Neo4j, NetworkX, GraphRAG, LangChain Graph QA, LlamaIndex Knowledge Graph, RDF/SPARQL (як плюс);
  Необхідні знання: entity extraction, relationship extraction, graph traversal, semantic links, hybrid retrieval, context assembly;
   
• досвід побудови агентних систем;
  Інструменти та технології: LangGraph, LangChain Agents, LlamaIndex Agents, CrewAI, AutoGen, Semantic Kernel, Pydantic AI, OpenAI function calling / tool calling, Anthropic tool use, MCP;
  Необхідні знання: ReAct, planner-executor, supervisor pattern, multi-agent orchestration, memory, tool routing, state management, fallback logic, human-in-the-loop, guardrails;
   
• досвід роботи з AI workflow engine, обов'язково n8n;
  Інструменти та технології: n8n, webhook nodes, HTTP Request node, AI Agent node, credentials, triggers, queues, error workflows, custom nodes, workflow versioning;
   
• досвід побудови evaluation та observability для LLM-продуктів;
  Інструменти та технології: Langfuse, LangSmith, PromptFoo, Ragas, DeepEval, TruLens, Arize Phoenix, Weights & Biases Weave, Helicone, OpenTelemetry;
  Метрики: accuracy, groundedness, relevance, faithfulness, hallucination rate, refusal rate, latency, cost per request, token usage, context utilization, regression rate;
   
• розуміння інформаційної безпеки при роботі з ШІ;
  Необхідні знання: PII, sensitive data, prompt injection, data leakage, secrets management, RBAC, audit logs, sandboxing tools, vendor data policies;
   
• англійська мова: Не нижче Upper-Intermediate. Необхідна для читання документації, роботи з API, аналізу моделей, технічного листування та підготовки design docs.
   

Буде плюсом:

• знання Node.js;
• глибокі знання context engineering;
• глибокі знання NLP;
• досвід fine-tuning моделей.

Основні задачі:

• розробляти production-ready ШІ-сервіси, backend-компоненти, API та інтеграції для внутрішніх і зовнішніх ШІ-продуктів компанії;
• писати чистий, підтримуваний, тестований та архітурно коректний код на Python;
• проєктувати та реалізовувати сервіси на Python/FastAPI для роботи з LLM, RAG, агентними системами та workflow-автоматизацією;
• інтегрувати пропрієтарні моделі через API: OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, Mistral, OpenRouter та інші затверджені компанією сервіси;
• піднімати, налаштовувати та підтримувати local-hosted моделі через vLLM, Ollama, llama.cpp, TGI або аналогічні інструменти;
• підбирати моделі під конкретні бізнес-завдання з урахуванням якості, швидкості, вартості, latency, context window, доступності, безпеки та стабільності результату;
• налаштовувати параметри інференсу моделей: temperature, top_p, max tokens, context window, batching, streaming, concurrency, rate limits, retry logic;
• реалізовувати vector RAG-пайплайни: завантаження даних, очищення, chunking, embeddings, індексація, retrieval, reranking, генерація відповіді, оцінка якості;
• реалізовувати graph RAG / knowledge graph RAG-підходи для завдань, де потрібна робота зі зв'язками між сутностями, документами, користувачами, договорами, клієнтами або бізнес-процесами;
• работувати з векторними базами даних: Qdrant, Weaviate, Pinecone, Chroma, FAISS, pgvector;
• работувати з графовими базами та інструментами: Neo4j, NetworkX, GraphRAG-підходи;
• будувати агентні системи: single-agent, multi-agent, planner-executor, supervisor, tool-using agents, human-in-the-loop flows;
• реалізовувати tool/function calling, structured outputs, JSON schema validation, retry/fallback logic та безпечну обробку відповідей моделей;
• інтегрувати агентні системи з корпоративними інструментами: CRM, бази знань, документи, пошта, календар, Slack/Teams, Jira, Confluence, Google Drive, Microsoft 365, внутрішні API;
• проєктувати та впроваджувати AI workflow automation на базі n8n: webhooks, triggers, AI Agent nodes, HTTP nodes, credentials, error workflows, черги, інтеграції з зовнішніми системами;
• розробляти eval/regression-фреймворки для перевірки якості LLM-відповідей, промптів, RAG та агентних сценаріїв;
  налаштовувати observability та моніторинг ШІ-систем: Langfuse, LangSmith, PromptFoo, Ragas, DeepEval, Arize Phoenix, Helicone, OpenTelemetry;
• контролювати ключові метрики: latency, cost per request, token usage, groundedness, hallucination rate, relevance, accuracy, refusal rate, error rate, regression rate;
  проводити технічні експерименти з моделями, промптами, RAG-підходами, агентними патернами та параметрами інференсу;
• брати участь у завданнях з fine-tuning / model adaptation за наявності потреби: підготовка датасетів, навчання, валідація, порівняння результатів з baseline;
• спільно з Prompt Spec Engineer впроваджувати prompt/spec architecture в код, забезпечувати версіонування промптів, трасування, тестування та контроль якості;
• спільно з Product Manager переводити продуктові вимоги в технічну архітектуру, API-контракти, схеми даних та план реалізації;
• забезпечувати безпеку ШІ-сервісів: захист від prompt injection, контроль доступу, фільтрація чутливих даних, логування, аудит, безпечне зберігання секретів;
• підтримувати сервіси в production: аналізувати інциденти, виправляти помилки, оптимізувати продуктивність, знижувати вартість запитів, покращувати стабільність.

Що компанія пропонує:

• працюємо в сучасному та стильному офіс в ближньому центрі;
• безкоштовний корпоративний трансфер (дім-офіс-дім);
• забезпечуємо якісним та смачним кейтерингом прямо в офісі;
• корпоративні заняття йогою та медитацією + корпоративні знижки на здорове харчування;
• WELCOME bonus - фінансовий бонус від компанії на початку співпраці;
• релокейт пакет (оплата квитків у Львів + перший та останній місяць + рієлторські послуги).

We are looking for a highly organized and proactive Project Administrator (PMO) to support the operational coordination of our consulting delivery team.

This role is not about “just admin tasks” — you will be directly involved in delivery processes, reporting, and maintaining operational discipline across projects.

You will work closely with Project Managers and Service Delivery Managers, helping them keep projects structured, transparent, and under control.

Responsibilities

Operational delivery & control

• Monitor project activities and ensure SLA and communication standards are followed
• Identify risks / deviations and escalate them proactively

Reporting & transparency

• Coordinate timesheet collection and validate data accuracy
• Prepare operational reports (status, incidents, Plan vs Actual, etc.) [PMO | Word]

Project support

• Support PMs in managing workflows (ServiceNow / Azure DevOps)
• Create and maintain tasks, work items, and project structures

Meetings & communication

• Participate in project meetings, prepare clear minutes (MM)
• Track action items and ensure follow-ups are completed

Documentation & processes

• Maintain project documentation and PMO guidelines

• Support ongoing improvement of internal processes
   

  Candidate profile

• We are looking for someone who:
• Has English B2+ (written & spoken)
• Has basic understanding of project management principles
• Is familiar with tools like Jira / Azure DevOps / ServiceNow (or ready to learn)
• Is highly organized and detail-oriented
• Has strong ownership mindset and accountability
• Can communicate confidently with team and clients

• Thinks proactively and notices problems before they escalate

   

   Background:
  Bachelor’s degree in Business / Management / IT or similar is a plus

We offer

• Work in an international consulting team (Microsoft ecosystem)
• Structured environment (PMO processes, delivery standards)
• Real involvement in live projects
• Clear growth path → Project Manager / SDM
• Learning & development support

Who We Are: An international iGaming company specializing in identifying and fostering the growth of high-potential entertainment markets. With 1000+ professionals in 20+ locations, we operate in 10 countries, serving over 300,000 customers.
 

Always Pushing the Boundaries? You Already Belong at RISK!

Our global-scale operations are based on strong internal expertise, analytics, and data research. We have expertise in iGaming operations (sports betting, online casino), digital and affiliate marketing, tech solutions, and data analytics.
 

We are looking for a Middle Data Analyst to join our analytics team and work with business data, Tableau dashboards, data quality, and product and marketing performance metrics.

This role is a good fit for someone who wants to go beyond routine reporting: understand business needs, clarify requirements, investigate data, identify trends and anomalies, and help teams make better decisions through clear and reliable insights.
 

Job Description:

• Monitor data quality by ensuring accuracy, consistency, and reliability of data across reports and dashboards;
• Build, maintain, and optimize automated reports and Tableau dashboards;
• Identify, investigate, and resolve data discrepancies across data sources and reporting layers.
• Collaborate with analysts and stakeholders to clarify requirements, define success criteria, and ensure correct interpretation of metrics;
• Monitor product and marketing performance, highlighting trends, anomalies, and optimization opportunities;
• Analyze traffic efficiency, including ROI, LTV, and conversion, to support data-driven decision-making;
• Help transform business questions into clear reporting or analytical solutions;
• Improve reporting processes and optimize dashboard performance to enhance efficiency and usability.
   

Qualifications:

• 2+ years of experience in data analytics, with strong hands-on experience in Tableau;
• Advanced SQL skills (MySQL, PostgreSQL) and experience in building complex analytical queries;
• Ability to translate business problems into analytical solutions;
• Strong analytical thinking and attention to data accuracy, consistency, and metric logic;
• Experience in communicating with internal stakeholders: requirements gathering, finding solutions, and presenting results;
• Ability to work independently and manage tasks from end to end;
• Proficiency in Ukrainian or Russian (written and spoken) for internal communication;
• English level: Pre-Intermediate or higher.
   

Nice to have:

• Experience in performance marketing or traffic analysis;
• Understanding of marketing metrics (ROI, LTV, conversion rates);
• Basic understanding of attribution or forecasting.
   

Our Benefit Cafeteria is Packed with Goodies:

• Children Allowance
• Mental Health Support
• Sport Activities
• Language Courses
• Automotive Services
• Veterinary Services
• Home Office Setup Assistance
• Dental Services
• Books and Stationery
• Training Compensation
• And yes, even Massage!

Ready to Take the Leap?

Join a team where every day is an opportunity to take a RISK and come out on top. Follow us on LinkedIn and Instagram, and let us be your hub for turning ambitious ideas and extraordinary solutions into reality.

At RISK, we believe that our people are the driving force behind our success. Together, we can achieve great things and push the boundaries of what's possible in the iGaming industry.

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

Our customer is a leading fashion retailer and retail innovator. We can not share who they are, but we can assure you that they are taking a big part of your wardrobe and you adore them. We are looking for an experienced Product Owner/ Business Analyst to join our team and focus on customer pain points and PO vision. The Product Owner who will join our team is going to work closely with the customer's managers, our clients, the support team, and the technical team

What You Will Bring to the product:

• Defined the end-to-end product strategy, helping to define and shape solution value through a focus on customer pain points and the team's vision
• Captures requirements from business stakeholders and prepares users' stories with detailed acceptance criteria
• Ensure backlog is aligned with UX/UI design
• Drive a Production Product mindset across the team, ensure that the definition of minimum value and user-testable team outputs
• Work closely with technology teams to ensure the delivery of User Value in line with User Story goals
• Support a shared understanding of User Stories across the team, particularly why they are valuable/prioritised
• Ensure backlog captures dependencies on vendors and other parallel work, being closer to Technical / Process detail than Journey Owner

• Ensure the roadmap is aligned with backlog priorities

   

Requirements:

• Solid understanding of the Production Product mindset, understanding of the value of short-term planning
• At least 5 years of experience working in Scrum, SAFe, or LeSS framework environment as PO/BA
• Advanced English level and advanced Spanish level
• Experience with writing User Stories accordance with DOR, decomposing work to drive prioritisation
• Strong communication skills with the ability to communicate complex messages and trade-offs, telling a compelling story
• Comfortable with processes/ technology/IT to be able to understand and help problem solve with the technical team(s), addressing their concerns
• Strong leadership and influencing skills, with confidence in explaining complex processes or technical details to diverse groups of people
• Strong problem solver with the ability to lead the team and to push the solution and progress

Would be a big plus:

• Experience in retail, distribution, and commercial areas, but it is not a must

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

ELVTR is a premier online education platform offering live courses taught by top executives from globally renowned companies. 

We’re looking for a proactive and tech-savvy Technical Operations Specialist to join our team. In this role, you will own a live support queue across our core tooling stack, including HubSpot, Aircall, Stripe, Slack, Zoom, and other internal systems, while continuously improving workflows through automation.

This is a fast-moving, SLA-driven environment where staying responsive, managing priorities well, and keeping the queue clean matters just as much as solving any individual request. This role is a strong fit for a Strong Junior - Middle specialist who is highly organized, technically curious, and motivated to make internal operations faster and more efficient.

This job is for you if you are

• A self-motivated problem-solver who enjoys working in technical systems and improving how things operate
• Comfortable managing a high-volume stream of requests and deciding what needs attention first
• Responsive and disciplined in async communication, with strong follow-through and clear updates
• Quick to learn new tools and able to troubleshoot independently using documentation and available resources
• Calm and reliable during busy periods, even when work is repetitive or unpredictable
• A strong written communicator who can explain technical issues clearly to non-technical teammates
• Interested in automation and excited by opportunities to reduce manual work using tools and AI

Responsibilities

• Resolve technical requests in chat across HubSpot, Aircall, Stripe, and other company tools within defined SLAs
• Own the support queue end-to-end: triage incoming requests, prioritize effectively, keep work in progress low, and prevent backlog buildup
• Proactively escalate blocked or high-risk items rather than allowing them to stall
• Support routine operational work and HubSpot administration, including workflows, automations, and reporting
• Build and maintain automations across Slack, Aircall, Stripe, Zoom, and other systems
• Improve internal processes using tools such as n8n, Zapier, and Google Apps Script
• Identify repetitive tasks and continuously look for opportunities to streamline or automate them

Requirements

• Experience in technical support, CRM operations, system administration, or a similar hands-on role
• Genuine enthusiasm for AI-assisted workflows and practical experience using AI to improve work quality or speed
• Familiarity with automation tools such as n8n, Zapier, or Apps Script
• Demonstrated ability to manage a high-volume task queue or ticket workload with strong consistency
• Strong self-prioritization skills and the ability to make sound decisions when multiple requests feel urgent
• Excellent async communication habits, including responsiveness during working hours and proactive follow-up
• Ability to learn new tools quickly and troubleshoot independently with minimal supervision
• Strong critical thinking and problem-solving skills
• Clear written communication and confidence working with non-technical stakeholders
• High level of ownership, resilience, and reliability in fast-paced operational work

Nice to have

• Experience working with HubSpot
• Experience with ClearFeed or similar ticketing and SLA-management tools

Why this role matters

You will help keep our internal operations running smoothly by making sure technical requests are handled quickly, blockers are surfaced early, and repetitive manual work is continuously reduced through automation. Your work will directly improve team efficiency and help internal stakeholders move faster with less friction.

Benefits

• Competitive Salary and Bonuses: We value your contributions and offer competitive compensation and performance-based incentives.
• Comprehensive Benefits: Enjoy gym membership reimbursements, mental health benefits, generous vacation allowances, and complimentary access to all our courses.
• Flexible Work Environment: Work remotely with a schedule that accommodates your personal and professional needs.
• Growth Opportunities: Join a company committed to your professional development, offering abundant opportunities for career advancement. 

Why You Should Join ELVTR

• Innovative Culture: Be part of a team that values creativity, collaboration, and intellectual curiosity.
• Impactful Work: Contribute to a mission that is reshaping the future of online education.
• Professional Development: Take advantage of learning opportunities and growth prospects within a forward-thinking company. 

Join Us

If you are a detail-oriented professional ready to contribute to a leading online education platform, we encourage you to apply. Elevate your career with ELVTR.

ELVTR is committed to providing equal opportunities and fostering a diverse, inclusive environment for all, whether you join us as an employee or a contractor.

Location: Ukraine (Remote / Office in Kyiv / Hybrid)
Employment: Full-time
Experience: 3+ years (exceptional postgraduate candidates with research achievements may be considered)

🏢 About the Company

group of companies specializing in the development and implementation of comprehensive IT solutions for the corporate and public sectors. Our projects are focused on long-term client partnerships and building complex, end-to-end solutions.

📋 What You'll Be Doing

• Pre-sales & sales support — gathering and analyzing preliminary business requirements, RFP analysis, BRD creation, participation in HLD design and CPD preparation
• Requirements elicitation — analyzing passive sources (existing documentation, regulatory frameworks, GDPR), proactive stakeholder engagement: interviews, facilitated sessions, business process research
• Requirements formalization — transforming business needs into clear, measurable requirements; classification (business, functional, non-functional, regulatory, integration); prioritization; change traceability
• Technical documentation & modeling — preparing HLD, SRS, TSD, SDD; describing business processes using BPMN, UML, DFD, ERD, C4, DMN, CMMN, EPC; creating diagrams in draw.io
• Development & testing support — clarifying business logic, participating in grooming/refinement sessions, analyzing incidents and change requests, ensuring implementation aligns with agreed requirements

✅ Must Have

• Strong communication skills — ability to clearly explain complex concepts, proactively initiate dialogue, facilitate discussions, and elicit hidden or unspoken requirements from stakeholders
• Understanding of business-to-technical requirements transformation — decomposing business requirements into functional specs, formulating technical and operational requirements, identifying "hidden" requirements from stakeholder conversations and documentation

✅ Should Have

• 3+ years of BA experience in relevant projects (enterprise IT, B2B, public sector) with a proven track record in requirements gathering, formalization, and system modeling from concept to implementation
• Knowledge of modeling notations — C4, DFD, EPC, BPMN, UML, ERD, DMN, CMMN and confident use of diagramming tools (draw.io)
• Project documentation experience — BRD, RFP, SRS, SDD, TSR, TSD — from concept and structure to final formalization and defense before review committees
• Domain understanding — DWH/DH/DL systems, current state of AI/ML and its practical applications

🟡 Could Have (Advantage)

• English or German at B1+ level — for working with international clients and documentation
• Experience with enterprise solutions — ERP, WMS, B2B portals
• Process automation experience — from individual operations to end-to-end cross-departmental workflows

🎯 What We Expect

• Delivering the function of business analysis, not just mechanically following procedures
• Proactive involvement in optimizing the BA process as a service
• A genuine drive for continuous professional growth
• Active engagement: listening, reasoning, facilitating
• Leveraging automation tools in your own work

🚫 What We Don't Expect

• Formal "box-ticking" or working just for the sake of it
• Passivity or indifference to project outcomes
• Inability to listen to others or work with feedback
• Unwillingness to analyze your own mistakes and learn from them

📝 Interview Preparation

We expect candidates to come prepared — having reviewed this description and ready with specific questions. In addition to your CV, please bring examples of your work (subject to NDA constraints).

If sharing real artifacts isn't possible, you may optionally prepare a sample case:
"McDonald's Ordering Process" — model the process with at least 3 entry points, ending with "Customer received the order." Describe roles, software, and devices involved. Format is up to you (text, diagrams, use cases) — please don't spend more than 2–3 hours on it.

🎁 What We Offer

• Long-term stability — full involvement in projects, full-time only
• Professional development — after 6–12 months: 100% funded training, internationally recognized BA certifications, conference participation (as attendee or speaker)
• Flexible work format — office (Kyiv, Pechersk), fully remote (anywhere with stable internet), or hybrid
• Engagement model — employment contract, sole proprietorship (FOP), or via Diia.City
• Compensation — $600 (Junior strong) to $1,999 (Middle strong / pre-Senior), based on actual qualification match

We are looking for an experienced Lead Generation Specialist who can proactively research markets, identify high-quality prospects, and help generate new business opportunities by booking meetings with decision-makers.

This role is ideal for someone who enjoys deep research, understands how B2B outreach works, and can independently build targeted lead lists instead of just collecting random contacts.

You will work directly with the founder and have a real impact on company growth.

What You’ll Do

• Research and identify potential clients for our software development services
• Find and qualify decision-makers (Founders, CTOs, Operations Managers, Directors, etc.)
• Build highly targeted lead lists based on ICPs and market criteria
• Research companies, industries, and competitors
• Collect and validate contact information (LinkedIn, emails, company data)
• Prepare short lead summaries explaining why each lead is relevant
• Run or support cold outreach campaigns via LinkedIn and email
• Book meetings with qualified prospects
• Maintain and organize data in CRM / Google Sheets 

• Continuously improve lead quality and research processes

   

Requirements

• Proven experience in B2B Lead Generation or Sales Research
• Strong internet research and analytical skills
• Experience working with LinkedIn, Google, Apollo, Snov, Hunter, or similar tools
• Ability to identify relevant companies and decision-makers
• Understanding of outbound sales and lead qualification
• Good written English
• Strong attention to detail and structured thinking

• Ability to work independently and focus on results

   

Nice to Have

• Experience in IT outsourcing / software development industry
• Experience with cold outreach and appointment setting
• Familiarity with CRM systems (HubSpot, Pipedrive, Notion)
• Understanding of sales funnels and prospecting strategies

• Experience with AI tools for research and personalization

   

What We Offer

• Fully remote work
• Small team with fast decision-making and no bureaucracy
• Direct communication with the founder
• Clear goals and measurable results
• Opportunity to grow into:
  • Business Development
  • Sales
  • Account Management

• Real influence on company growth and strategy

   

Who We’re Looking For

Someone who:

• enjoys researching and finding opportunities others miss
• thinks critically instead of just collecting data
• understands what makes a lead actually relevant
• is proactive and result-oriented
• can consistently generate quality opportunities, not just spreadsheets

We’re looking for our first dedicated marketing person: hands-on, generalist, willing to learn fast. You’d be working directly with the founder (one person, no committee, no politics), running day-to-day marketing execution across our products (we’re shipping consumer apps on iOS and MacOS)

This is a full-time, remote role (35–40 hrs/week). Initial 3-month engagement with strong intent to extend if it’s working. Could grow into a Marketing Lead role as the portfolio scales.

What you’d actually do:
Your time will shift between our products based on what’s live, what’s launching, and what needs the most attention. Expect 2–4 products active in your queue at any time. Across them:

- Basic SMM. Run TikTok, Instagram accounts for our apps. Mostly base for launching ads and influencers outreach. We give you the playbook.
- Creator outreach. Find influencers of small and medium size (1K–10K, 10K-100K followers) in each product’s niche. Reach out, send brief, pay them, collect content, track results. Markets vary — often US, Europe, Brazil, Japan.
- Community participation. Genuine presence in the Reddit / Discord / Telegram communities relevant to each product. Help people, build credibility, mention the app only when it actually helps the conversation. We do NOT spam.
- Newsletter sponsorships . Find small targeted newsletters per product, negotiate small ads.
- Reporting & systems. Weekly metrics sheet across all products (downloads, ratings, install sources, MRR). Weekly Friday written report across all projects.

Who you are:
Ambitious junior or self-taught marketer. The role demands real ownership. You’ll get a budget, a playbook, and weekly priorities — then you decide what to ship and when. We don’t want someone who needs daily approval to do the next obvious thing.

Required:
- Strong written English
- Active TikTok user — you get how it works in 2026
- Comfortable on Pinterest, Reddit, Instagram at user level
- Comfortable juggling 2–4 different products with different audiences and brand voices, without mixing them up
- Spreadsheets (Google Sheets), comfortable in Notion or similar
- Self-directed: weekly plan, ship, iterate, raise blockers early
- Honest about what works and what doesn’t

Would be a plus:
- Efficient with AI
- Personal interest in consumer tech and design
- Basic Canva or Figma
- Previous experience juggling multiple small clients or projects in parallel
- Familiarity with App Store Connect or app analytics tools

Not required:
- A marketing degree
- Years of experience
- Agency background
- Knowing “ASO” or “CAC” — we’ll teach what you need

How we work:
- Async-first. Daily Slack/ check-in, weekly call.
- Weekly Friday written update across all projects.

We are looking for a Senior ML Computer Vision Engineer to join our team!

Our client is an innovative technology division within one of the world's top-10 copper producers. You'll play a pivotal role in their expanding Computer Vision and AI ambitions. While the initial focus involves advanced asset management, the team is embarking on a long-term journey to leverage traditional machine learning, artificial intelligence, and predictive maintenance across their global operations.

Working closely with a newly appointed Computer Vision Subject Matter Expert (SME) and cross-functional data and integration teams, you will drive research and development initiatives from proof-of-concept through to production. Your work will directly shape how the organisation utilizes visual and operational data, eventually integrating these cutting-edge AI capabilities into the core asset management scope and broader operational ecosystem.

Responsibilities:

• Partner with the Computer Vision SME to drive R&D initiatives, exploring new applications for AI, CV, and traditional machine learning within heavy industry.
• Design, develop, and deploy Computer Vision models (e.g., object detection, image classification, segmentation) and traditional ML algorithms for predictive maintenance and asset monitoring.
• Translate business requirements and R&D concepts into scalable, production-ready machine learning pipelines.
• Collaborate with Data Engineers and Analytics Engineers to ensure seamless ingestion, transformation, and availability of visual, sensor, and operational data.
• Work alongside Integration Engineers to embed AI/ML capabilities and model outputs into existing enterprise applications and asset management systems.
• Implement MLOps best practices for model training, versioning, deployment, monitoring, and lifecycle management within an Azure-centric environment.
• Evaluate and select appropriate algorithms, frameworks, and cloud-native AI tools to meet evolving business and performance needs.
• Prepare comprehensive technical documentation, model architectures, and performance reports for technical and non-technical stakeholders.

Requirements:

• 5+ years of hands-on experience as a Machine Learning Engineer, Computer Vision Engineer, or AI Researcher in a software development environment.
• Strong proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• Proven experience building and deploying Computer Vision solutions (e.g., using OpenCV, YOLO, ResNet) in real-world scenarios.
• Solid foundation in traditional machine learning techniques (e.g., scikit-learn, XGBoost) and statistical data analysis, particularly for predictive maintenance or time-series forecasting.
• Experience with cloud-based ML platforms and MLOps practices, preferably utilizing Azure Machine Learning, Databricks, or similar enterprise environments.
• Familiarity with data manipulation and analysis libraries (Pandas, NumPy) and working with large, diverse datasets (images, video streams, sensor data).
• Strong analytical and problem-solving skills, with a track record of transitioning models from R&D phases into production scale.
• Excellent communication skills, with the ability to collaborate effectively with SMEs, data engineering teams, and business leadership.
• Master’s degree or PhD in Computer Science, Artificial Intelligence, Data Science, or a related highly quantitative field (or equivalent applied experience).

Nice to have:

• Background in mining, heavy industry, or manufacturing environments, particularly working with OT (Operational Technology) or IoT sensor data.
• Experience processing and analyzing geospatial data, drone imagery, or edge-computing AI deployments.
• Familiarity with Azure Data Factory, Azure Synapse, or Azure Integration Services to better align with the broader data platform team.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers