Jobs at Djinni

A recruitment agency, HiringWise is looking for Software Engineer for the development team of the software product company, which is a premier provider of mobile attribution and marketing analytics solutions that empowers app marketers globally to optimize their strategic decision-making processes.

The team builds internal services and tools for Data Engineers and other Software Development teams. They are leading the transition from Data Lake to Data Mesh, providing:

• Services for data ingestion at a massive scale
• Data operations services in a Mesh architecture

• Tools to empower other teams to build reliable, cost-effective, and performant data pipelines

   

What you’ll do:

• Collaborate on the architecture and evolution of our Data Mesh platform;
• Design and build robust, high-quality, and scalable services;
• Optimize storage and computation to reduce latency and cost;
• Own services end-to-end: from design and coding to deployment, monitoring, and scaling;
• Design secure & compliant data storage from day one;
• Contribute to ETL/reporting as showcase examples for other engineering teams;
• Continuously improve automation, observability, and infrastructure reliability.

What you bring:

• 3+ years of backend/data engineering experience;
• Strong development skills in JVM-based languages (Java, Scala, Kotlin, etc.);
• Solid understanding of concurrency and distributed computing;
• Familiarity with SQL and ETLs over distributed computation frameworks;
• Solid understanding of cloud environment services (AWS/GCP/Azure, etc) - operating and interconnecting;
• Awareness of CI/CD practices, cloud infrastructure provisioning, and network fundamentals;
• Strong desire to learn and grow with the team.

Soft Skills:

• Fluent English – both written and spoken;
• Ability to work independently, take ownership, and drive tasks to completion;
• Strong analytical and problem-solving skills;
• Team-oriented mindset with the ability to collaborate across different geographies;
• Curiosity, adaptability, and willingness to explore new technologies.

TechBiz Global is a leading recruitment and software development company. Our diverse, globally distributed team provides IT recruitment, outstaffing, outsourcing, software development, and different consulting services with a primary focus on making our partners achieve their business goals successfully.

With headquarters in Germany we have successful clients all over the world. We can understand your unique needs. Our team has hands-on experience with the challenges that come with rapid growth and the IT sector. That’s why all of our offerings are built with a tech mindset.

About Our Client

A global software company specializing in data analysis, digital forensics, and investigation solutions.

Role overview

A leadership position managing a team of Solution Consultants, combining hands-on technical expertise with strategic oversight to drive successful customer implementations and solution optimization.

NOTE: This position requires a hybrid work format with visits to the client's office in Frankfurt, Germany.

Key responsibilities

• Lead & Mentor a team of Solution Consultants, fostering growth and collaboration.
• Drive Implementations by overseeing technical delivery and ensuring scalable, secure solutions.
• Engage Clients to gather requirements and design tailored solutions.
• Act as Trusted Advisor by providing ongoing technical support and guidance.
• Present Solutions through clear, audience-appropriate demos and technical sessions.
• Collaborate Cross-Functionally with product, engineering, and support teams.
• Manage Escalations & Projects, ensuring timely resolution and client satisfaction.
• Stay Current with industry trends to continuously improve customer outcomes.

Job requirements

• 5+ years in Solution Consulting or Architecture, ideally in eDiscovery, forensics, or investigations (Big 4 or public sector).
• Experience with SaaS and on-premise deployments; strong scripting and infrastructure scaling skills.
• Experience with Ruby.
• Hands-on knowledge of platforms like EnCase, FTK, Relativity, Magnet.
• Technical familiarity with Elasticsearch, Kubernetes, Docker, SQL, Keycloak, MS365.
• Strong team leadership and client-facing communication skills.
• Fluent in German and English; open to DACH-region travel.

An IT holding JetMonsters is looking for a Creative Marketing Specialist with experience in creating promotional video content to strengthen its expertise in the mobile app (IT) market.

Responsibilities:

- Advertising research in the mobile applications market.

- Competitor advertising research.

- Analysis and generation of ideas for creatives.

- Tracking trends, AI tools and product adaptation.

- Creation of new hypotheses, approaches, concepts, variations.

- Creation of Static, Video, UGC creatives.

- Development of technical specifications for designers.

-  Development of scripts for UGC creators.

- An understanding of creative hypotheses and performance optimization will be a plus.
 

Our expectations from the candidate.

Hard skills:

- 1+ year of experience working with creatives in marketing or product departments. Completing marketing-related courses will be a plus.

- Understanding of trends, virality, and creative content.

- Knowledge of tools for market and competitor analysis.
- Marketing mindset, understanding user pain points and needs.

- Knowledge of marketing funnels.

- Proficiency with Excel/Google Sheets.

- Preparation of technical specifications

- Copywriting skills (SEO copywriting).

- TikTok, Facebook, Instagram user with experience in creating advertising content. Experience with YouTube will be a plus.

- Experience working with AI tools.

- English – B1 (Intermediate); B2-C1 level will be a plus.
 

Will be a plus:

- Understanding of metrics (Impression, CPM, CTR, CPC, ROMI, ROAS).

- Experience in creating and testing creatives for performance marketing.

- Analyzing the effectiveness of advertising creatives and generating new hypotheses based on marketing metrics/data.

- Understanding of User Acquisition.

Soft skills

— Creativity
— Analytical thinking
— Data-driven decision making

We offer:

— remote cooperation or the opportunity to work in the office in Mykolaiv.

— full-time, schedule from 9:00/10:00 to 18:00/19:00 (from Mon. to Fri.).

— Partial or full reimbursement for attendance at specialized courses and trainings, as well as for attending conferences and events in the field of specialization.

— Corporate English Club online.

— Paid vacation and sick leave.

If all of the above matches and resonates with you, and you have the relevant experience, you want to become part of the JetMonsters team and bring something new to it, send your resume and join us :)

OMNICORE is an international product & service company and a leader in creating, developing, and managing end-to-end eCommerce businesses for global retail players in the fashion industry.

We specialize in two main areas:

• eCommerce-as-a-Service: building and managing eCommerce businesses, implementing omnichannel services, design, web development, content, marketing, customer service, etc.
• 3rd Party Logistics (3PL): warehouse operations management for retail and wholesale, logistics, transportation, and packaging solutions.

Our key partners include: adidas.ua, adidas.kz, marketplace md-fashion.ua, ultra-shop.com, saks85.com, frgroup.kz, and others.

We are looking for a Middle+  Magento 2 Developer (Frontend)

We value and support veterans and are open to hiring for this role.

Requirements:

• 5+ years of experience in web development (JavaScript, HTML, CSS);
• 3+ years of experience with Magento 2 (Frontend);
• Strong knowledge of:
  • RequireJS and Magento 2 build specifics;
  • .phtml templates and frontend customization;
  • Performance optimization (lazy load, critical CSS, caching);
  • Layout XML (page structure, blocks, containers);
  • REST API integrations;
  • Writing clean, maintainable, and testable code;
• Experience with Git (Git flow), Jira, Kanban;
• Participation in 2+ large-scale projects;
• English level: B1+ (ability to read technical documentation).

Nice to have:

• Experience with Figma, Docker;
• Knowledge of Nuxt 3 / Vue 3.

Responsibilities:

• Layout and design integration;
• Development and maintenance of web applications on Magento 2;
• Creation and support of components/modules/plugins;
• Integration with REST/GraphQL services.

About the project:

• Magento 2 application;
• High Availability / High Load;
• Integrations with external systems and services.

Working conditions:

• Full-time, remote format;
• A young team with a great sense of humor;
• Paid vacation (24 calendar days) and sick leave;
• Personal learning & development budget;
• Career growth opportunities;
• Up to 20% discounts on our partners’ products;
• 50% discount on corporate English learning with Preply;
• Payments in UAH, not tied to currency fluctuations;
• Work schedule: Mon–Fri, 10:00 – 19:00 (EET).

At OMNICORE, you’ll join a team of professionals, unlock your potential, and grow within dynamic eCommerce projects of international fashion brands.

Take the next step in your career — apply now! 

You’ll be the go-to developer for building and managing a portfolio of high-traffic e-commerce storefronts on WordPress/WooCommerce and Shopify. From crafting pixel-perfect themes to writing custom WordPress plugins and Shopify Liquid templates, you’ll own the front-end experience—and the PHP that powers it—while partnering closely with designers, project

managers, and sales teams to turn client goals into fast, elegant, revenue-driving sites.

Key Responsibilities

Theme & UI Development

• Build and iterate responsive WordPress & WooCommerce themes in

PHP/HTML/CSS/JS.

• Craft performant Shopify (Liquid) themes and maintain existing

themes.

• Ensure cross-browser & cross-device consistency, accessibility

(WCAG 2.1 AA), and Core Web Vitals performance.

Custom Plugin & App Work

• Design, develop, and maintain bespoke WordPress plugins (PHP,

MySQL, REST).

• Extend Shopify via custom sections, metafields, or private apps

(Node/PHP).

Environment Management

• Manage a growing fleet of WordPress Network (multisite) and

Shopify Plus stores—updates, security patches, staging→prod

deployments, localization, A/B tests.

E-Commerce Integrations

• Integrate third-party APIs (payment, marketing automation, ERP,

inventory, SSO).

• Build data flows between WooCommerce/Shopify and CRMs or

fulfillment partners.

Collaboration & Support

• Translate non-technical client requests into clear tasks and realistic

estimates.

• Partner with design & UX to ship beautiful, maintainable interfaces.

• Provide occasional pre-sales technical input to help scope new

opportunities.

Quality, Docs & Growth

• Create & maintain concise technical docs and “runbooks” for each

storefront.• Stay current on PHP 8.x, Gutenberg/FSE, Shopify& Woocommerce Editions, and emerging headless/Composable trends.

Required Skills & Experience

3+ years front-end web development with production PHP.

Proven track record shipping WordPress & WooCommerce sites, including custom plugin development and WP-CLI workflow familiarity.

Hands-on Shopify theme customization (Liquid, JSON templates) and store

configuration; Shopify Plus a plus.

Strong grasp of HTML5, CSS3/SCSS, modern JavaScript (ES6+).

Solid MySQL query design and understanding of WordPress database schema.

Version control with Git and standard GitFlow or trunk-based workflows.

Comfortable scoping work within client budgets, setting expectations, and meeting

deadlines.

Excellent troubleshooting, debugging, and problem-solving skills.

Clear written & verbal communication—you can explain trade-offs to both developers

and non-technical stakeholders.

Nice-to-Have Extras

Experience building Shopify & Wordpress apps (Node, Remix, or PHP) & leveraging

Shopify APIs & WooCommerce APIs.

Comfort with AI-powered developer tools (e.g., GitHub Copilot, ChatGPT, Gemini) to

speed up coding, documentation, and debugging.

Familiarity with headless or hybrid architectures (Next.js, Hydrogen, WP

REST/GraphQL).

Knowledge of SEO, analytics tagging (GA4, GTM), and conversion-rate optimization

tactics.

Experience managing Web-to-Print ecommerce products and platforms (e.g. PrintScience, Pressero, Liftoff).

Education & Certifications

Bachelor’s in Computer Science or related field preferred (equivalent experience

welcomed).

Relevant certifications—e.g., Shopify Theme Developer, WooCommerce Expert—are a plus.

We’re looking for a creative professional to help us design a pitch deck and create a video sales letter (VSL) for our project.

🔹 Requirements:

• 3+ years of experience with pitch decks / VSLs
• Strong design & storytelling skills
• Ability to deliver high-quality work within short deadlines

📌 Project type: Short-term / freelance

If interested — drop your portfolio + rates 🙌

Main Responsibilities:

• Formulate and manage the marketing budget to fulfill current and long-term growth plans
• Achieve the goals set for attracting new customers within the set budget.
• Initiate and implement profitable marketing projects that bring new customers.
• Test a large number of hypotheses to find and implement solutions that bring significant results
• Build up an impressive customer base
• Monetize the existing customer base
• Launch work in new markets, including market research, budget planning, branding, negotiating and connecting contractors, etc.
• Build a team of senior employees instead of a school of juniors
• Be the face of the company for potential investors
• Manage the marketing function based on a transparent system of metrics
• Research and know the market and competitors

Expected Results:

• Achieve annual marketing goals for new customer acquisition in 5 countries
• Build a strong team by replacing the weakest 50% with stronger members
• Return 10% of the spent budget by selling bounce traffic

Professional Qualifications: 

• CMO experience of 4 years in one company, if the company is large - CMO-1
• Work with annual budgets of $5M+.
• Experience in using affiliate and PPC channels as the main channels of customer acquisition
• Experience in entering and working in international markets in B2C
• Proven annual business growth of 50%+, or 100k+ new customers per year
• Work with senior specialists
• Experience in the following domains: Fin-tech, large-scale e-commerce or marketplace platforms, dating, gambling, forex, edtech, nutrition, travel, hospitality, fashion, electronics, home goods, and beauty products, software utilities.
• Advanced in English
• Experience managing remote teams

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

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

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

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

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

Nice to have:
- Advanced Tools & Frameworks: Experience with distributed data processing frameworks (such as Apache Spark or Databricks) for large-scale data transformation, and with message streaming systems (Kafka, Pub/Sub) for real-time data pipelines. Familiarity with data serialization formats (JSON, Parquet) and handling of large text corpora.
- Web Scraping Expertise: Deep experience in web scraping, using tools like Scrapy, Selenium, or Beautiful Soup, and handling anti-scraping challenges (rotating proxies, rate limiting). Ability to parse and clean raw text data from HTML, PDFs, or scanned documents.
- CI/CD & DevOps: Knowledge of setting up CI/CD pipelines for data engineering (using GitHub Actions, Jenkins, or GitLab CI) to test and deploy changes to data workflows. Experience with containerization (Docker) to package data jobs and with Kubernetes for scaling them is a plus.
- Big Data & Analytics: Experience with analytics platforms and BI tools (e.g., Tableau, Looker) used to examine the data prepared by the pipelines. Understanding of how to create and manage data warehouses or data marts for analytical consumption.
- Problem-Solving: Demonstrated ability to work independently in solving complex data engineering problems, optimizing existing pipelines, and implementing new ones under time constraints. A proactive attitude to explore new data tools or techniques that could improve the workflows.

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

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

We are looking for Lead generation manager
Requirements:

• 2 to 6 years of experience in lead generation or a similar role;
• Proficient in tools such as LinkedIn, LinkedIn Sales Navigator, IncIn, and other CRM and automation platforms (e.g., Apollo, Lemlist,Snovio etc.);
• Solid understanding of email outreach processes, writing outreach and follow-up sequences;
• Experience working with international markets (USA, Canada, Western Europe);
• Written English skills (B1 level or higher) for communication and crafting outreach content;
• Ability to identify decision-makers (DMs) among potential contacts;
• Team player with strong communication skills and a results-driven mindset;

Responsibilities:

• Generate leads through LinkedIn, email channels, and other automated outreach tools;
• Segment potential client databases and set up targeted campaigns;
• Create personalized outreach messages, initial contact texts, and follow-up sequences;
• Identify decision-makers and establish initial contact;
• Communicate with potential clients and hand off qualified leads to the sales team;
• Collaborate closely with the sales team to develop effective lead generation strategies;
• Participate in the creation and optimization of outreach campaigns.

Interview stages:
1. AI — Screening.
2. Interview with a recruiter.
3. Final Interview with C-Level
4. Reference check.
5. Offer.

What We Offer:
🕒 Full-time role with flexible hours after probation.
📚 Ongoing training and educational opportunities.
📈 Performance reviews every 6 months.
💵 Competitive salary in USD.
🌴 21 paid vacation days.
🤒 7 paid sick days (+15 for serious cases like COVID or surgery).
🗓️ 10 floating public holidays.
🎉 Online team -building events & fun corporate activities.
🚀 Projects across diverse domains (e-commerce, healthcare, fintech, etc.).
🌍 Clients from the USA, Canada, and Europe.

In partnership with one of the global consulting enterprises, on a large-scale digital transformation program for a UK Telecommunication industry client, we are seeking experienced DevOps Engineers at both Lead and Senior levels (see level-specific requirements below). The team forms part of the client’s Developer Experience & Tooling function, dedicated to creating frictionless, secure, and scalable development environments that empower product teams to deliver features faster and with greater reliability.

Overview

As part of the Developer Experience & Tooling team, DevOps Engineers will focus on building and evolving the internal platforms, automation frameworks, and tooling that underpin all delivery squads. The mission is to reduce cognitive load for developers by providing reusable patterns, standardized infrastructure modules, and highly automated CI/CD pipelines.

• Lead DevOps Engineer: Acts as a hands-on technical leader, setting the strategy for developer tooling and platform capabilities, mentoring the team, and ensuring alignment with the client’s cloud adoption roadmap.
• Senior DevOps Engineer: Delivers infrastructure-as-code, automation, and CI/CD solutions within agile squads, contributing directly to reusable developer tooling assets.

Key Responsibilities

Core Responsibilities (all levels):

• Build and maintain scalable AWS-based infrastructure and internal platforms used by multiple development squads.
• Create and manage Terraform modules and reusable patterns to accelerate delivery.
• Write automation tooling and utilities in Python to streamline developer workflows and platform operations.
• Design, maintain, and optimize CI/CD pipelines, enabling continuous deployment and fast feedback cycles.
• Implement monitoring, logging, and observability solutions to ensure platform reliability.
• Partner with developers, QA, and product teams to improve day-to-day developer experience.

Lead-specific Responsibilities:

• Provide technical leadership and mentoring for DevOps engineers within the Developer Experience & Tooling team.
• Define platform engineering standards, best practices, and reusable frameworks across squads.
• Own the roadmap for internal developer tooling, ensuring it evolves in line with business and technical goals.
• Serve as the escalation point for complex infrastructure and automation challenges.
• Partner with client stakeholders to influence cloud strategy and developer enablement initiatives.
•  

Must-Have Skills & Experience

Common (Senior & Lead):

• Strong experience with AWS services (EC2, S3, ECS/EKS, IAM, Lambda, CloudFormation).
• Hands-on expertise with Terraform for infrastructure as code.
• Strong Python development skills for automation, tooling, and scripting.
• Knowledge of CI/CD tooling (e.g., GitHub Actions, Jenkins, GitLab CI, CircleCI).
• Familiarity with observability platforms (CloudWatch, ELK, Prometheus, Grafana).
• Ability to work in agile, cross-functional teams and contribute to shared tooling.

Lead DevOps Engineer (Level 5):

• 7+ years in DevOps / Cloud / Platform Engineering roles.
• Proven track record of leading DevOps/Platform teams and delivering developer tooling at scale.
• Strong stakeholder management skills and ability to influence strategic direction.
• Excellent mentoring skills with experience growing engineering capability within a team.
• Experience shaping internal developer platforms, paving the way for self-service adoption.

Senior DevOps Engineer (Level 4):

• 4–6 years of DevOps / Cloud Engineering experience.
• Strong individual contributor with deep AWS, Python, and Terraform expertise.
• Proven ability to deliver automation, infrastructure modules, and CI/CD solutions with minimal supervision.
• Passionate about developer experience and building tooling that reduces friction for others.

Desirable

• Knowledge of Kubernetes / EKS and container-based deployment patterns.
• Experience with GitOps workflows (e.g., ArgoCD, Flux).
• Familiarity with configuration management tools (Ansible, Chef, Puppet).
• Understanding of platform security, compliance, and cost optimization.
• Experience in platform engineering or developer enablement roles.

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

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

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

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

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

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

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

Senior Software Engineer (Scala) to join the Information Syndication team. You will play a key role in maintaining and evolving our high-performance backend systems, supporting a major content delivery platform. You will contribute to technical decision-making, work closely with cross-functional teams, and mentor junior developers while adopting modern Scala libraries and AWS services.

Responsibilities

 Design, build, and maintain reliable, scalable backend systems in Scala.

 Contribute to architectural discussions and lead technical decision-making.

 Write clean, maintainable, and well-tested code.

 Collaborate with product managers, QA engineers, and Node.js developers to deliver

high-quality features.

 Optimize system performance and reliability using AWS cloud services.

 Support the full software development lifecycle—from concept to deployment and

monitoring.

 Review code, mentor team members, and promote best practices.

 Work closely with the team to identify and resolve production and scalability issues.

Must Have

 5+ years of professional experience in software engineering, with 3+ years using Scala.

 Strong understanding of functional programming and concurrent systems.

 Hands-on experience with HTTP4S, Cats Effect, or Finatra + Finagle.

 Experience designing and building RESTful APIs and microservices.

 Proficiency in working with the JVM, including performance tuning and memory

management.

 Experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB).

 Proficient with Git, CI/CD pipelines, and modern DevOps practices.

 Strong unit testing and TDD skills using ScalaTest, Specs2, or similar tools.

 Excellent communication and collaboration skills.

Desirable

 Working knowledge of AWS services, especially EC2, DynamoDB, RDS, and API Gateway.

 Experience with CloudWatch for monitoring and alerting.

 Knowledge of Node.js/TypeScript, especially familiarity with FABL (our business logic

layer).

 Familiarity with Agile methodologies and working in cross-functional squads.

About us:

EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide.

But that's not all! We're not just about numbers, we're about people. With a team of over 1000 passionate individuals spread across twelve countries in Europe, Asia, and the US, we're all united by our love for innovation and teamwork.

EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.

We are looking for a passionate and dedicated Trainee/Junior L2 Support and Configuration Specialist to join our team in Lviv!
 

About the job:

One of our business units, Platform, in the scope of MoneyMatrix Product – a product that offers a wide range of payment options, fraud prevention, and KYC (Know Your Customer) checks.

What You'll get to do: 

1. Advanced Incident Resolution:
- Take ownership of escalated incidents from Customer Support. 
- Conduct in-depth investigations and analysis of complex technical issues.
- Apply advanced troubleshooting techniques to resolve incidents efficiently.
- Collaborate with cross-functional teams to identify root causes and implement effective solutions.
- Document and share incident resolution knowledge to enhance team capabilities. 

2. Process Compliance and Documentation:
- Ensure strict adherence to established processes, guidelines, and project-specific requirements.
- Work closely with incident management teams to systematically address recurring issues.
- Promote knowledge sharing by creating and improving technical documentation. 

3. System Configuration:
- Modify existing system configurations as needed.
- Add new configurations to support client-specific features.
- Set up rules using our internal no-code platform. 

4. Client Integration:
- Configure new clients within the system.
- Test workflows in staging and production environments prior to launch. 
 

What You need to know:

- Bachelor's or Master's degree in a relevant IT field (e.g., Computer Science, Computer Engineering).
- Ability to manage multiple tickets and meet stringent deadlines.
- Exceptional research and analytical skills.
- Technical writing and verbal communication skills in English (at least B1 level).
- Experience in data analysis and report writing using MS Excel.
- Adept at cross-team collaboration.

Nice to have:

- Any experience in an IT company, preferably in roles like Developer, DevOps, Sysadmin, or other technical positions.
- Experience in Log Management and Analysis using tools like Elasticsearch and Kibana.
- Networking knowledge. Rest API.
- Familiarity with monitoring services such as Grafana, New Relic.
- Basic knowledge of Database Administration, particularly SQL.
- Postman expertise.
- Chrome DevTools or similar experience.
- Strong documentation skills to promote knowledge sharing and process improvement.
- Proficiency in any programming language.
- Linux/Bash experience.
- Understanding of K8s basics, docker, VMs.
- Knowledge of SDLC (Software Development Life Cycle).
- Familiarity with Scrum and Kanban methodologies.
- Jira or similar products experience.

Here's what we offer:
 

• Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us.
• Stay Healthy: 10 sick leave days per year, no doctor's note required; 30 medical leave days with medical allowance
• Support for New Parents:
• 21 weeks of paid maternity leave, with the flexibility to work from home full-time until your child turns 1 year old.
• 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old.

Our office perks include on-site massages and frequent team-building activities in various locations.
 

Benefits & Perks:

• Daily catered lunch or monthly lunch allowance. 
• Private Medical Subscription. 
• Access online learning platforms like Udemy for Business, LinkedIn Learning or O’Reilly, and a budget for external training.
• Gym allowance

At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!

General description: Good experience in designing robust APIs using OpenApi and having strong sense of serverless architecture to help deliver next generation cloud native system.

Requirements: Key/primary skills: Java, Python, Spring Boot and other Frameworks, Cloud Platforms (inc. AWS), JUnit5, Lambda, Containers Secondary skills: Mockito, Agile, No SQL Databases

• Create a template service that talks to database (MongoDd) – note: we already have templates for FE, JCS, FCS, lambdas and TMF Entity.

• Make the code production ready for a sample FE, JCS, FCS, lambdas and TMF Entity. Production readiness means:

o Security vulnerabilities fixed

o Observability, troubleshooting set up

o Data logging compliance followed

o Tests automated (as much as possible)

o Start on PaCE/performance tests

• Mentor current devs to understand the above NFRs and grow in their roles

We’re looking for a skilled Babylon.js Developer to join our team and contribute to building cutting-edge, high-performance 3D web applications. You’ll work on interactive features, real-time rendering, and advanced graphics, collaborating closely with designers and backend engineers.

Responsibilities

• Build, maintain, and optimize 3D applications with Babylon.js
• Implement interactive components, animations, and visual effects
• Work with WebGL, shaders, and rendering pipelines to ensure smooth performance
• Integrate 3D assets and collaborate with designers to deliver polished user experiences
• Troubleshoot and resolve cross-browser rendering issues

• Contribute to architectural decisions and best practices for scalable and maintainable 3D apps

   

Requirements

• Strong knowledge of JavaScript/TypeScript
• Proven experience with Babylon.js (or Three.js with willingness to switch)
• Solid grasp of WebGL, 3D graphics, and rendering principles
• Experience with shaders (GLSL/HLSL) is a significant plus
• Familiarity with game engines or 3D pipelines (Blender, Unity, Unreal) is an advantage
• Strong problem-solving mindset and attention to detail

• Good English communication skills (Intermediate or above)

   

Nice to have

• Experience with physics engines (Cannon.js, Ammo.js, etc.)
• Knowledge of performance profiling and optimization for 3D apps
• Background in interactive media, AR/VR, or game development