Jobs Data & Analytics

US Company is searching for a couple of Senior AI Engineers into a complex, enterprise-level project for building sophisticated Agentic Systems, Adaptive RAG engines, capable of autonomous research to solve complex, real-world problems. Interesting project with cutting edge technologies, distributed team, full-time, an official contract. Remote work, flexible schedule.

Brief project description:

• The product is SaaS, which allows multiple functions for sustainability & operational risk management. The project is dedicated for developing of AI Center of Excellence.

Key areas of responsibility:

• Platform Engineering: Build and enhance scalable, reusable AI services (e.g., "Adaptive RAG Engine," "Text-to-SQL Service," and "Agentic Runtime") that product teams can easily integrate.
• Technical Contribution: Collaborate with principal engineers and architects. Participate in code reviews, write robust tests, and help drive the adoption of engineering best practices (CI/CD for AI, evaluation).
• Agentic Innovation: Develop and implement multi-agent systems capable of complex reasoning, planning, tool use, and self-correction (using frameworks like LangGraph or PydanticAI or Databrics' Agent Brics).
• Data Engineering: Load datasets and knowledge sources from external systems. Shape and transform data to optimize it for Hybrid or Semantic Search, providing the best possible knowledge context to LLMs.
• Production Readiness: Help move prototypes to production with a focus on latency, cost optimization, and reliability. Implement robust evaluation pipelines (LLM-as-a-Judge) to measure quality and prevent regression.
• Collaboration & Enablement: Partner with product teams to implement their AI roadmaps. Translate business requirements into concrete technical implementations.

Required skills (at least one or more for each category):

• Professional Experience: At least 5 years of professional experience in software development or Data Science.
• Education: Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Physics, or a related natural science field.
• Python Expertise: At least 5 years of hands-on experience with Python, writing clean, maintainable, and production-ready code.
• Strong Software Engineering Foundation: distributed systems, API design (FastAPI), and cloud architecture.
• Data Engineering Expertise: Data Engineering and Big Data (DeltaLake, Databrics etc.) experience are a big plus.
• GenAI Engineering Experience: Hands-on experience building production RAG systems. Chunking strategies, hybrid search (dense + sparse), re-ranking, and context management.
• Agentic Workflow Experience: You have experience building systems where LLMs use tools, maintain state, and execute multi-step plans. You are familiar with the challenges of loops, recursion, and hallucination mitigation.

Tech Stack:

• Languages: Python, TypeScript
• AI Frameworks: LangChain/LangGraph, Pydantic AI, MosaicAI
• Models: Azure OpenAI (GPT-4o, o1), Open Source LLMs (Llama 3, Mistral)
• Infrastructure: Azure AI Search, Azure Container Apps, Delta Lake, Vector Databases like Databrics Vector Search.

Work conditions:

• Distributed team, remote work.
• Kanban or scrum approach, 5-6 team members / team.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.

Hiring process:

• Step 1 - preliminary interview (main questions) - 20 mins
• Step 2 - internal tech interview (tech questions) - 40-50 mins
• Step 3 - tech interview with team leader and architect - 1 hour

Job Description

• Experience & Education: 7+ years in Business Analysis or Product Management on complex software projects. Master's degree in Biomedical Engineering, CS, or a related clinical field is preferred.
• Gherkin/BDD Expertise: Required: Advanced proficiency in writing requirements in Gherkin format. You must be able to demonstrate the ability to produce high-quality scenarios quickly.
• PO Mindset: Demonstrable experience acting as a proxy-Product Owner. Experience with roadmapping, backlog grooming, and strategic planning in an Agile/Scrum environment is essential.
• Medical Domain Knowledge: Experience with medical imaging (CT, MRI, X-Ray), image processing, or surgical navigation systems is a massive plus. Understanding of hip arthroscopy or FAI pathology is highly desirable.
• Proactivity & Leadership: Strong history of "owning" the solution. You must be a self-starter who identifies process bottlenecks and fixes them without waiting for permission.
• Communication Skills: Exceptional ability to communicate complex technical and clinical information to diverse audiences. You must be comfortable leading workshops and presentations for surgeons and executives.
• Tooling: Proficiency in Jira and Confluence, specifically for managing traceability and documentation.

Job Responsibilities

• Senior Business Analyst acting as a Product Owner who will own the requirements lifecycle. You will drive the product vision, ensuring the system reflects clinical needs while establishing a rapid, standardized flow for requirement definition.
• Requirements Ownership & Gherkin Mastery: Rapidly translate complex clinical needs and surgical workflows into precise, testable requirements using Gherkin syntax (BDD). You must be able to write user stories and scenarios fast without sacrificing clarity.
• Process Architecture: Take full ownership of the requirements gathering process. Analyze, audit, and refine our current approach to requirements engineering to increase velocity and reduce ambiguity.
• Product Ownership & Strategy: Act with a Product Owner mindset. Move beyond simple "order taking" to actively shape the product roadmap, manage the backlog, and make tough prioritization decisions based on clinical value and technical feasibility.
• Stakeholder Leadership: Drive and facilitate communication with the client. You are not just a liaison; you are a partner who challenges assumptions, negotiates scope, and drives consensus among surgeons (KOLs), engineers, and executives.
• Clinical & Imaging Analysis: Conduct in-depth analysis of FAI surgery workflows (pre-op to post-op) and medical imaging data (X-Ray, CT, MRI, 3D models). Ensure requirements account for 2D/3D visualization nuances and specific surgical navigation needs.
• Risk & Ambiguity Management: Proactively identify gaps in logic or clinical safety risks early in the process. You are responsible for mitigating ambiguity before it reaches the development team.
• Cross-Functional Orchestration: Collaborate closely with UI/UX designers for intuitive surgical interfaces and with Architects to ensure technical feasibility. Lead design reviews to ensure alignment with business goals.
• Compliance & Standards: Ensure all requirements and roadmaps align with medical device regulations (FDA, CE) and data standards (DICOM, HL7).

Department/Project Description

We are partnering with a global leader in medical devices to develop the next-generation cutting-edge tool used during hip arthroscopy for femoroacetabular impingement (FAI). Client provides surgeons with real-time visualization and measurement capabilities by superimposing virtual tools on X-ray images, enabling precise clinical decision-making. The product will help surgers to plan and to validate the procedures by analyzing 2D images from X-Rays, CT, MRI and building 3D objects.

Our goal is to enhance the product’s capabilities, improving workflow efficiency and advancing surgical outcomes. This project will involve refining requirements, designing intuitive interfaces, and integrating advanced visualization tools to meet the highest clinical standards. Join us in shaping the future of minimally invasive orthopedic surgery.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are seeking an experienced Mid/Mid+ Data Scientist with expertise in Large Language Models (LLMs) such as GPT, Claude, and related technologies. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and deep learning models. They will play a critical role in developing and deploying cutting-edge LLM applications to drive innovation across our product lines.

Responsibilities:

‌

— Design, develop, and optimize Large Language Models for various NLP tasks such as text generation, summarization, translation, and question-answering

— Conduct research and experiments to push the boundaries of LLM capabilities and performance

— Collaborate with cross-functional teams (engineering, product, research) to integrate LLMs into product offerings

— Develop tools, pipelines and infrastructure to streamline LLM training, deployment and monitoring

— Analyze and interpret model outputs, investigate errors/anomalies, and implement strategies to improve accuracy

— Stay current with the latest advancements in LLMs, NLP and machine learning research

— Communicate complex technical concepts to both technical and non-technical stakeholders

Requirements:

‌

— MS or PhD degree in Computer Science, Data Science, AI, or a related quantitative field

— 2-3+ years of hands-on experience developing and working with deep learning models, especially in NLP/LLMs

— Expert knowledge of Python, PyTorch, TensorFlow, and common deep learning libraries

— Strong understanding of language models, attention mechanisms, transformers, sequence-to-sequence modeling

— Experience training and fine-tuning large language models

— Experience with classical ML models - XGBoost, LightGBM

— Proficiency in model deployment, optimization, scaling, and serving

— Excellent problem-solving, analytical, and quantitative abilities

— Strong communication skills to present technical information clearly

— Ability to work collaboratively in a team environment

— Fluency in Ukrainian and English

Preferred:

— Research experience in LLMs, NLP, machine learning

— Experience working with multi-modal data (text, image, audio)

— Knowledge of cloud platforms like AWS, GCP for model training

— Understanding of MLOps and production ML workflows

— Background in information retrieval, knowledge graphs, reasoning

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

Our client is the world's leading company in the medical device sector and has several programs of cooperation with GlobalLogic. We develop and test the native mobile application that collects therapy data of the medical devices, presents therapy data to both patients and doctors via cloud service and gather the data in the personal therapy management software system. The project is focused on developing a tool that enhances the recovery process and supports dealing with permanent health disorders, what in the final outcome saves the life of a patient.

Requirements

• 5+ years of proven experience working as a Senior Business Analyst and/or Product Owner.
• Mandatory experience in the Medical/Healthcare domain, with solid understanding of industry‑specific processes, regulations, workflows, and compliance considerations.

• Bachelor’s degree in Engineering or a related technical field.

   

  Core Competencies

• Demonstrated ability to take the lead in product and requirements management, including direct client‑facing responsibilities.
• Strong capability to plan, manage, and prioritize product feature backlogs ensuring continuous readiness of development tasks.
• Experience defining product vision, roadmap, and growth strategy aligned with business goals.
• Skilled in value assessment, creating business cases, and prioritizing epics, themes, and user stories based on ROI and strategic impact.
• Solid experience performing and facilitating Agile ceremonies involving both internal teams and client stakeholders.
• Advanced expertise in backlog management, iteration planning, and user story elaboration following industry best practices.
• Close collaboration experience with Product Management teams to maintain a well‑structured and value‑driven product backlog.
• Ability to lead release planning, set clear delivery expectations, and communicate timelines to stakeholders.
• Proven track record of removing impediments and enabling development teams to meet sprint/release commitments.
• Strong research and analytical skills to evaluate market trends, user needs, competitor landscape, and product roadmap impacts.

Job responsibilities

Business & Functional Analysis

• Own and maintain comprehensive documentation of business, functional, and system requirements.
• Collaborate cross‑functionally to design and propose effective business and product solutions.
• Engage directly with clients to elicit, clarify, refine, and validate business requirements.
• Develop deep domain and product knowledge to support engineering and design teams with accurate context and insights.

Product Ownership & Strategy

• Partner with clients to shape product strategy, scope, and design decisions, ensuring alignment with market needs and customer expectations.
• Influence product direction by providing insights into industry trends, competitive analysis, user behaviors, and best practices.
• Ensure the product backlog reflects high‑value, customer‑centric priorities and evolves in response to business objectives.

Collaboration & Delivery

• Work closely with internal engineering, design, and QA teams to drive successful and timely delivery of product features.
• Facilitate transparent communication across stakeholders regarding progress, risks, decisions, and dependencies.
• Support the team during implementation phases by providing clarifications, acceptance criteria, and functional guidance.
• Contribute to ongoing process improvements and promote Agile principles within the team and with client stakeholders.

About the project:

We are looking for a Senior Data Engineer to take ownership and evolve both our Data Warehouse and core databases within a microservices-based, multi-tenant application. This role encompasses more than just analytics and includes broad responsibility for database architecture, ensuring data consistency, and managing technical debt across production systems. It is a hands-on opportunity focused on long-term stewardship of the data layer, working closely with backend engineers and product teams to deliver scalable, reliable, and maintainable data infrastructure.

Please note that this position requires Cyprus-based candidates or readiness to relocate to Cyprus after the probation period. We provide full support throughout the relocation process, along with a relocation bonus 🎁

A new team member will be in charge of:

• Designing, developing, and maintaining scalable data warehouse solutions.
• Building and optimizing ETL/ELT pipelines for efficient data integration.
• Designing and implementing data models to support analytical and reporting needs.
• Ensuring data integrity, quality, and security across all pipelines.
• Optimizing data performance and scalability using best practices.
• Working with big data technologies such as Redshift.
• Collaborating with cross-functional teams to understand business requirements and translate them into data solutions.
• Implementing CI/CD pipelines for data workflows.
• Monitoring, troubleshooting, and improving data processes and system performance.
• Staying updated with industry trends and emerging technologies in data engineering.

• Taking ownership of core production databases across a microservices, multi-tenant application.

   

Does this relate to you?

• 6+ years of experience in Data Engineering or a related field.
• Strong expertise in SQL and data modeling concepts.
• Hands-on experience with Airflow.
• Experience working with Redshift.
• Proficiency in Python for data processing.
• Strong understanding of data governance, security, and compliance.
• Experience in implementing CI/CD pipelines for data workflows.
• Ability to work independently and collaboratively in an agile environment.
• Excellent problem-solving and analytical skills.
• Experience managing production databases in microservices environments.
• Experience designing and supporting multi-tenant data models.
• English proficiency at an upper-intermediate level.

Ready to try your hand? Send your CV without a doubt!

Your future responsibilities:

• Create comprehensive documentation, including system requirements documents, business process diagrams (BPMN, UML) and technical specifications to facilitate project understanding and implementation
• Collaborate with project participants to collect, document, and prioritize business requirements for various project components
• Analyze and evaluate current system architecture, identifying areas for improvement and alignment with project goals
• Conduct data analysis and modeling to ensure data flow support and structures meet project objectives and reporting requirements
• Analyze system integration points, ensuring smooth data exchange between various components and systems
• Evaluate potential system solutions and make recommendations based on cost-benefit analysis, feasibility studies, and fit with project objectives
• Develop use cases, user stories, and other artifacts to describe system behavior and interactions, providing clarity for developers and project participants
• Collaborate with quality assurance teams to ensure system changes are compliant and maintain high quality
• Assist in change management activities by assessing the impact of proposed changes on systems, processes and stakeholders, and assist in communication and training activities
• Develop templates and quality criteria for business and system analysis artifacts

Your skills and experience:

• Minimum of 1 year of experience in business or systems analysis and/or product management
• Experience with project management methodologies such as Agile, Scrum, Waterfall
• Formulation of high-level technical requirements and specifications for the software product
• Mastery of process visualization tools Visio, Draw.io
• Experience in building/rebuilding processes
• High level of communication skills to communicate with various stakeholders and ability to explain technical concepts to users in simple language

Will be a plus:

• Understanding of financial monitoring processes or experience in this area
• Knowledge of BPMN 2.0 and UML notations
• Knowledge of SQL and/or Python
• Understanding and experience with APIs and web services
• Language: English (Upper-Intermediate, B2 — will be an advantage)
• Education: Completed higher education (additional specialized education will be an advantage)

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program with rewards for bringing in new colleagues to Raiffeisen Bank
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. Classification: PUBLIC
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT Security, Leadership, Agile, сorporate library.
• Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs
• Career opportunities: we encourage advancement within the bank across functions
• Innovations and technologies: Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes

Why Raiffeisen Bank?

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter!
• One of the largest lenders to the economy and agricultural business among private banks
• Recognized as the best employer by EY, Forbes, Randstad, Franklin Covey, and Delo.UA
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ)
• One of the largest IT product teams among the country’s banks. • One of the largest taxpayers in Ukraine; 6.6 billion UAH were paid in taxes in 2023.

Opportunities for Everyone:

• Raif is guided by principles that focus on people and their development, with 5,500 employees and more than 2.7 million customers at the center of attention
• We support the principles of diversity, equality and inclusiveness
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to your special needs
• We cooperate with students and older people, creating conditions for growth at any career stage

You matter at Raif!

Want to learn more? Follow us on social media:

Facebook, Instagram, LinkedIn

______________________________________________________________________

Твої майбутні обов’язки: 

• Створювати вичерпну документацію, включаючи документи з вимог до системи, діаграми бізнес процесів (BPMN, UML) та технічні специфікації для полегшення розуміння та впровадження проекту
• Співпрацювати з учасниками проекту для збору, документування та встановлення пріоритетів бізнес вимог для різних компонентів проекту
• Аналізувати та оцінювати поточну архітектуру системи, ідентифікуючи області для поліпшення та відповідність цілям проекту
• Проводити аналіз та моделювання даних для забезпечення підтримки потоку даних та структур, що відповідають цілям проекту та вимогам звітності
• Аналізувати точки інтеграції систем, забезпечуючи безперешкодний обмін даними між різними компонентами та системами
• Оцінювати потенційні системні рішення та надавати рекомендації на основі аналізу вартості та користі, досліджень можливості та відповідності цілям проекту
• Розробляти сценарії використання, користувацькі історії та інші артефакти для опису поведінки системи та взаємодій, забезпечуючи ясність для розробників та учасників проекту
• Співпрацювати з командами забезпечення якості, щоб забезпечити відповідність системних змін вимогам та підтримувати високу якість
• Допомагати у діяльності з управління змінами, оцінюючи вплив запропонованих змін на системи, процеси та учасників, а також допомагати у комунікаційних та навчальних заходах
• Розробляти шаблони та критерії якості до артефактів бізнес та системного аналізу

Твій досвід та навички:

• Мінімум 1 рік досвіду в області бізнес або системного аналізу та/або управління продуктом
• Досвід роботи з методологіями управління проектами, такими як Agile, Scrum, Waterfall
• Формулювання високорівневих технічних вимог та технічного завдання до програмного продукту
• Володіння інструментами візуалізації процесів Visio, Draw.io
• Досвід побудови/перебудови процесів
• Високий рівень комунікативних навичок для спілкування з різними стейкхолдерами та здатність пояснити технічні концепції користувачам простою мовою

Буде плюсом:

• Розуміння процесів фінансового моніторингу або досвід роботи в даній сфері
• Знання нотацій BPMN 2.0 та UML
• Знання SQL та/або Python
• Розуміння і досвід роботи з API та веб-сервісами
• Мова: Володіння англійською мовою (Upper-Intermediate, В2 — буде перевагою)
• Освіта: Закінчена вища освіта (додаткова профільна освіта буде перевагою)

Пропонуємо те, що має значення саме для тебе: 

• Конкурентна заробітна плата: ми гарантуємо стабільний дохід та щорічні бонуси за ваш особистий внесок. Крім того, у нас є реферальна програма з винагородами за залучення нових колег до Райффайзен Банку.
• Соціальний пакет: офіційне працевлаштування, 28 днів оплачуваної відпустки, додатковий “декрет” для татусів, та матеріальна допомога для батьків при народженні дітей.
• Комфортні умови праці: можливість гібридного формату роботи, офіси забезпеченні укриттями та генераторами, забезпечення сучасною технікою.
• Wellbeing програма: для всіх співробітників доступні медичне страхування з першого робочого дня; консультації психолога, нутриціолога чи юриста; дисконт програми на спорт та покупки; family days для дітей та дорослих; масаж в офісі.
• Навчання та розвиток: доступ до понад 130 навчальних онлайн-ресурсів; корпоративні навчальні програми з CX, Data, IT Security, Лідерства, Agile, корпоративна бібліотека.
• Крута команда: наші колеги — це спільнота, де вітаються допитливість, талант та інновації. Ми підтримуємо один одного, вчимося разом та зростаємо. Ти можеш знайти однодумців у понад 15-ти професійних ком’юніті, читацькому чи спортивному клубах.
• Кар’єрні можливості: ми заохочуємо просування всередині банку між функціями.
• Інновації та технології. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go(infra,security), Swift (IOS), Kotlin (Andorid). Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink.
• Програма підтримки захисників і захисниць: ми зберігаємо робочі місця та виплачуємо середню заробітну плату мобілізованим. Для ветеранів та ветеранок у нас діє програма підтримки, розвивається ветеранська спільнота Банку. Ми працюємо над підвищенням обізнаності керівників та команд з питань повернення ветеранів до цивільного життя. Райффайзен Банк відзначений як один з найкращих роботодавців для ветеранів (Forbes).

Чому Райффайзен Банк? 

Наша головна цінність — люди і ми даємо їм підтримку і визнання, навчаємо, залучаємо до змін. Приєднуйся до команди Райфу, адже для нас ТИ маєш значення! 

• Один із найбільших кредиторів економіки та аграрного бізнесу серед приватних банків 
• Визнаний найкращим працедавцем за версіями EY, Forbes, Randstad, Franklin Covey, Delo.UA 
• Найбільший донор гуманітарної допомоги серед банків (Червоний Хрест України, UNITED24, Superhumans, СМІЛИВІ) 
• Одна з найбільших ІТ-продуктових команд серед банків країни 
• Один із найбільших платників податків в Україні, за 2023 рік було сплачено 6,6 млрд гривень

Можливості для всіх: 

• Райф керується принципами, що фокусуються на людині та її розвитку, у центрі уваги 5 500 співробітників та понад 2,7 мільйони клієнтів  
• Підтримуємо принципи різноманіття, рівності та інклюзивності
• Ми відкриті до найму ветеранів і людей з інвалідністю та готові адаптувати робоче середовище під ваші особливі потреби
• Співпрацюємо зі студентами та людьми старшого віку, створюючи умови для зростання на будь-якому етапі кар’єри

В Райфі ти маєш значення! 

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Requirements:

• Experience with Transformer models: BERT, RoBERTa, GPT, T5, LLaMA, Mistral, Falcon, etc.
• Strong knowledge of Python; experience with PyTorch, TensorFlow, and Hugging Face Transformers.
• Understanding of modern LLM architectures and fine-tuning techniques: LoRA, PEFT, Instruction Tuning, RAG.
• Experience with NLP tasks: classification, text generation, machine translation, QA systems, etc.
• Familiarity with evaluation metrics: accuracy, F1, BLEU, perplexity, ROUGE, etc.
• Basic knowledge of statistics and classical machine learning.
• Experience with MLflow, DVC, or similar tools.
• Experience with model containerization (Docker).
• Understanding of CI/CD principles in ML projects.
• Skills in model deployment using FastAPI / Flask / TorchServe / Triton.
• Experience with cloud infrastructure (AWS, GCP, Azure, or local cloud providers).

• Bonus: experience with Kubernetes, Airflow, Kubeflow, Ray.

   

Responsibilities:

• Selecting and configuring modern Transformer/LLM models for company-specific tasks.

Fine-tuning, LoRA tuning, model distillation, and quantization.

• Preparing and processing datasets (including augmentation).
• Deploying models to production and automating pipelines (data → training → inference).
• Monitoring model performance in production, retraining, and optimization.
• Collaborating with Data Engineers and DevOps to build the MLOps infrastructure.

• Evaluating model performance using various metrics and analyzing results to identify areas for improvement and optimization.

   

We offer you:

• Having the capability to create something new and witness your own input.
• You can find confidence in the future here, but rest assured it won't be dull. 
• Join a dynamic and expanding community. Our company is experiencing growth and expanding into Europe. Currently, we have offices in Kyiv, and Warsaw and plan to open additional locations in other countries. 
• Full-time employment contract.
• Multisport (light). 
• Paid vacation, sick leave.

Interested in joining our team? We invite you to submit your CV.

<By submitting your CV to LLC “GigaCloud”, EDRPOU code [39792589] (hereinafter referred to as the “Company”), in response to our vacancy, you consent to the processing of your personal data contained in the CV by the Company in accordance with the Law of Ukraine “On Personal Data Protection”, ISO 27701 Information Privacy Management System, and the provisions of the GDPR>.

About the Project: We are looking for a Senior Data Engineer to take over and further develop our e-commerce analytics solution. The project focuses on building a "Product as a Service" (SaaS) platform that helps customers improve their business through data-driven insights. You will be responsible for the full lifecycle of data: from scraping and parsing to making it available for AI model training.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are seeking an experienced Mid/Mid+ Data Scientist with expertise in Large Language Models (LLMs) such as GPT, Claude, and related technologies. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and deep learning models. They will play a critical role in developing and deploying cutting-edge LLM applications to drive innovation across our product lines.

Responsibilities:

‌

— Design, develop and optimize Large Language Models for various NLP tasks such as text generation, summarization, translation, and question-answering

— Conduct research and experiments to push the boundaries of LLM capabilities and performance

— Collaborate with cross-functional teams (engineering, product, research) to integrate LLMs into product offerings

— Develop tools, pipelines and infrastructure to streamline LLM training, deployment and monitoring

— Analyze and interpret model outputs, investigate errors/anomalies, and implement strategies to improve accuracy

— Stay current with the latest advancements in LLMs, NLP and machine learning research

— Communicate complex technical concepts to both technical and non-technical stakeholders

Requirements:

‌

— MS or PhD degree in Computer Science, Data Science, AI, or a related quantitative field

— 2-3+ years of hands-on experience developing and working with deep learning models, especially in NLP/LLMs

— Expert knowledge of Python, PyTorch, TensorFlow, and common deep learning libraries

— Strong understanding of language models, attention mechanisms, transformers, sequence-to-sequence modeling

— Experience training and fine-tuning large language models

— Experience with classical ML models - XGBoost, LightGBM

— Proficiency in model deployment, optimization, scaling and serving

— Excellent problem-solving, analytical and quantitative abilities

— Strong communication skills to present technical information clearly

— Ability to work collaboratively in a team environment

— Fluency in Ukrainian and English

Preferred:

— Research experience in LLMs, NLP, machine learning

— Experience working with multi-modal data (text, image, audio)

— Knowledge of cloud platforms like AWS, GCP for model training

— Understanding of MLOps and production ML workflows

— Background in information retrieval, knowledge graphs, reasoning

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

About Digis:

Digis is a European IT company with 200+ specialists delivering complex SaaS products, enterprise solutions, and AI-powered platforms worldwide.
We ensure transparency, stability, and professional growth opportunities for all our team members.

About the Project
You will be working with a large international organization that holds consultative status with the United Nations Economic and Social Council.
The organization is focused on long-term social initiatives, community development, and global cooperation, operating across thousands of international centers worldwide.
The project supports data-driven decision-making for large-scale programs aimed at sustainable development, education, and societal well-being, with a strong emphasis on ethics, responsibility, and positive global impact.

Responsibilities:
- Join bi-weekly forums to discuss tools, methods, and data innovations.
- Work with experienced leaders (CTO/Tech Lead, 10–20 years) on complex analytical challenges.
- Analyze and process high-quality data with accuracy and attention to detail.
- Contribute to large-scale initiatives by delivering data-driven insights that support strategic decision-making.

Requirements:
- 5+ years of commercial experience as a Data Analyst
- 3+ years of  SQL experience
- 2+ years of  Power BI experience
- English level: Upper-Intermediate +.

What We Offer:
- 20 paid vacation days per year

- 5 paid sick leaves per year (no medical documents required)

- Personalized development plan with training compensation

- English courses compensation

- Work equipment if needed (PC / laptop / monitor)

- Flat and transparent internal communication

- Opportunity to switch between projects and technologies within Digis

- Full accounting and legal support.

We are looking for a Head of Analytics who will become a key player in the development and evolution of the company’s analytical system. This is a strategic role for a professional who combines strong technical expertise with leadership skills and is able to act as a trusted business partner for top management.

Your mission is to build an efficient, scalable, and transparent analytics system that supports data-driven decision-making and to foster a strong data-driven culture across the company.

Key Responsibilities:

• Conduct a full audit of internal analytics processes, including team structure, data architecture, reporting, tools, and communication flows;
• Redesign and optimize reporting systems in line with business needs and key stakeholders’ expectations;
• Develop and implement unified analytics standards, methodologies, and KPI frameworks;
• Work closely with databases and data architecture: understand data structures and logic, and participate in the design and optimization of data storage and pipelines;
• Actively use and develop BI tools (dashboards, automated reporting, self-service analytics);
• Lead the analytics team: task prioritization, competency development, mentoring, and participation in hiring and team scaling;
• Coordinate collaboration within the analytics team and with development, product, marketing, finance, and management teams;
• Build a culture of hypothesis generation, experimentation, and analytical thinking to improve products and business outcomes;
• Ensure data quality, consistency, and trust in analytics across the company.

Requirements:

• Proven experience as a Head / Lead of Analytics or in a similar leadership role within a product company (experience in the gaming industry is a plus);
• Demonstrated success in building or transforming an analytics system, either from scratch or during a scaling phase;
• Strong technical background, including:
  • solid understanding of database principles and SQL;
  • experience in rebuilding or optimizing reporting systems;
  • hands-on experience with BI tools (Power BI, Tableau, Looker, Metabase, or similar);
• Deep understanding of product metrics, KPIs, and business performance indicators;
• Experience in managing teams and building efficient analytics processes;
• Ability to communicate effectively with stakeholders at all levels and translate business questions into data-driven insights;
• English proficiency at B1 level or higher, sufficient for working with documentation, tools, and professional communication.

We offer:

• 30 day off — we value rest and recreation.
• Remote work or the opportunity — our own modern lofty office with spacious workplace, and brand-new work equipment (near Pochaina metro station).
• Flexible work schedule — we expect a full-time commitment but do not track your working hours;

About Traffic Label
Traffic Label is a performance marketing and technology company with nearly two decades of experience driving engagement and conversion across the iGaming and digital entertainment sectors.
We’re now building a Customer Data Platform (CDP) on Snowflake and AWS - unifying player data across multiple brands to power automation, insights, and personalization.

The Role
We’re looking for a Data Engineering Lead to own the technical delivery and development of this platform. You’ll architect scalable pipelines, lead a small team, and ensure data reliability, accuracy, and performance.
Team size: 3–4 engineers/analysts

Key Responsibilities

• Design and implement scalable data pipelines processing millions of events daily
• Own Snowflake data warehouse architecture, optimization, and cost control
• Lead the engineering team through delivery and performance improvements
• Ensure >95% data accuracy and 99.9% pipeline uptime
• Collaborate with marketing, analytics, and compliance teams to align data with business goals

Requirements

• 5+ years in data engineering, 2+ in leadership roles
• Expert in Snowflake, SQL, and Python
• Proficient with AWS (S3, Lambda, IAM) and orchestration tools (Airflow, dbt, etc.)
• Strong understanding of data governance, cost optimization, and performance tuning
• Experience with iGaming data, Kafka/Kinesis, or MLflow is a plus

Why Join Us

• Build a core data platform from the ground up
• Competitive salary and performance bonuses
• Flexible remote or hybrid work across Europe
• Supportive, innovative, data-driven culture

Ready to lead a data platform that powers smarter decisions across global iGaming brands?
Apply now to join Traffic Label’s Data & Technology team.

We are looking for an experienced SQL Server DBA / Developer to join our client’s team in an outstaffing model. This role is critical for maintaining high availability, performance, and security of production SQL Server environments. The ideal candidate is hands-on, calm under pressure, and deeply understands how SQL Server behaves in real-world, high-load systems.

Details

Engagement Type: Long-term cooperation

Workload: Full-time

Location: Remote

Start Date: ASAP

Language: English

Key Responsibilities

Administer, support, and optimize Microsoft SQL Server production environments

Manage backup and restore strategies, including disaster recovery readiness

Monitor system workload and perform performance tuning

Diagnose and resolve performance bottlenecks, deadlocks, and concurrency issues

Handle production incidents, including root cause analysis and preventive actions

Implement and maintain security controls (logins, roles, permissions, auditing)

Support database deployments, upgrades, and maintenance activities

Work closely with developers and infrastructure teams to ensure system stability

Requirements

Strong, hands-on experience with MS SQL Server

Deep knowledge of:

- Backups & restores

- Workload monitoring and tuning

- Query and index optimization

- Deadlocks and concurrency management

- SQL Server security (logins, roles, auditing)

Proven experience in production support environments

Ability to work effectively under pressure and handle critical incidents

Good spoken and written English

Nice to Have

Experience in high-availability or high-load environments

Automation or scripting for DBA tasks

Prior experience working in an outstaffing or client-facing model

About the role:
We are looking for a Data Analyst to join a team working with advertising products and digital platforms.
 

Responsibilities:

• Collect, validate, and analyze data from advertising campaigns and products
• Prepare reports and dashboards for the team and stakeholders
• Look for insights in data: what works, what doesn’t, and why
• Help improve performance metrics (CTR, CPA, ROI, etc.)
• Work with large volumes of data from multiple sources
• Participate in defining tracking and analytics requirements
• Help automate reporting and routine processes
   

Requirements:

• 1+ year of experience working with data
• Experience with BI tools (Tableau / Power BI / Looker / Metabase, etc.)
• Experience with ClickHouse / BigQuery / Redshift or other analytical databases
• Strong skills in Python or R for data analysis
• Strong SQL skills
• Experience in AdTech / MarTech / digital marketing

We are looking for a Game Mathematician (project-based position) to work on slot games within an iGaming product. This role is for someone who can turn mathematics into an engaging and well-balanced gaming experience, works confidently with probabilities, RTP, and simulations, and collaborates effectively with developers and QA.

Responsibilities

• Design and calculate mathematical models for slot games (RTP, volatility, hit rate, max win).
• Build and balance core game elements: paytables, reels/weights, wild & scatter logic, free spins, respins, multipliers, bonus features.
• Prepare complete mathematical documentation for implementation: formulas, rules, tables, edge cases, configurations.
• Run and analyze Monte Carlo simulations to validate RTP, payout distribution, and volatility.
• Prepare math validation reports.

• Support developers and QA during integration and testing phases.

   

Optional / Additional Responsibilities

• Research iGaming trends and competitor mechanics.
• Participate in the full game lifecycle (from concept to release).

• Analyze player behavior using mathematical and statistical data.

   

Requirements

• Commercial experience in slot math/casino game mathematics.
• Strong understanding of probability theory, combinatorics, and statistics.
• Clear understanding of RTP structure (base vs bonus contribution), volatility management, and feature triggers.
• Ability to produce clear and well-structured technical documentation for engineering teams.

• Strong analytical thinking, attention to detail, and ownership of results.

   

Nice to Have

• Confident knowledge of Python.
• Experience building simulation scripts/tools (config-driven, reproducible simulations, result export).
• Experience with jackpot / progressive models.

• Understanding of compliance and regulatory requirements in iGaming.

   

What We Offer

• Work on real slot games in the iGaming domain.
• Direct impact on core gameplay and the mathematical model of the product.
• Collaboration with an experienced team (game design, development, QA).
• Long-term cooperation and a stable project.
• Real Product, Real Impact: Work on a live product, not an experimental project.
• Flexible Work Environment: Work from anywhere globally with a competitive compensation package.
• Dynamic Team: Join a group of passionate game development experts who share your love for creativity and innovation.
• Fun and Supportive Culture: We foster a collaborative, supportive team environment where your ideas and contributions are valued.