Jobs Data & Analytics

Hello!

We are E-Com, a team of Foodtech and Ukrainian product lovers.

And we also break stereotypes that retail is only about tomatoes. Believe me, the technical part of our projects provides a whole field for creativity and brainstorming.

What we are currently working on:

• we are upgrading the existing delivery of a wide range of products from Silpo stores;
• we are developing super-fast delivery of products and dishes under the new LOKO brand.

We are developing a next-generation Decision Support Platform that connects demand  planning, operational orchestration, and in-store execution optimization into one unified Analytics and  Machine Learning Ecosystem. 

The project focuses on three major streams: 

•  Demand & Forecasting Intelligence: building short-term demand forecasting models, generating  granular demand signals for operational planning, identifying anomalies, and supporting commercial  decision logic across virtual warehouse clusters. 

•  Operational Orchestration & Task Optimization: designing predictive models for workload  estimation, task duration (ETA), and prioritization. Developing algorithms that automatically map  operational needs into structured tasks and optimize their sequencing and allocation across teams. 

•  In-Store Execution & Routing Optimization: developing models that optimize picker movement,  predict in-store congestion, and recommend optimal routes and execution flows. Integrating store  layout geometry, product characteristics, and operational constraints to enhance dark-store  efficiency. 

You will join a cross-functional team to design and implement data-driven decision module that directly  influence commercial and operational decisions. 

Responsibilities:

•  develop and maintain ML models for forecasting short-term demand signals and detecting anomalies  across virtual warehouse clusters;

•  build predictive models to estimate task workload, execution times (ETA), and expected operational  performance;

•  design algorithms to optimize task distribution, sequencing, and prioritization across operational  teams;

•  develop routing and path-optimization models to improve picker movement efficiency within dark  stores; 

•  construct data-driven decision modules that integrate commercial rules, operational constraints, and  geometric layouts;

•  translate business requirements into ML-supported decision flows and automate key parts of  operational logic; 

•  build SQL pipelines and data transformations for commercial, operations, and logistics datasets;

•  work closely with supply chain, dark store operations, category management, and IT to deliver  measurable improvements;

•  conduct A/B testing, validate model impact, and ensure high-quality model monitoring. 

Requirements:

•  bachelor’s Degree in Mathematics / Quantitative Economics / Econometrics / Statistics / Computer  Sciences / Finance; 

•  at least 2 years working experience on Data Science; 

•  strong mathematical background in Linear algebra, Probability, Statistics & Optimization Techniques; 

•  proven experience with SQL (Window functions, CTEs, joins) and Python;

•  expertise in Machine Learning, Time Series Analysis and application of Statistical Concepts  (Hypothesis testing, A/B tests, PCA); 

•  ability to work independently and decompose complex problems. 

Preferred:

•  experience with Airflow, Docker, or Kubernetes for Data Orchestration; 

•  practical experience with Amazon SageMaker: training, deploying, and monitoring ML models in a  production environment; 

•  knowledge of Reporting and Business Intelligence Software (Power BI, Tableau, Looker); 

•  ability to design and deliver packaged analytical/ML solutions. 

What we offer

• competitive salary;
• opportunity to work on flagship projects impacting millions of users;
• flexible remote or office-based work (with backup power and reliable connectivity at SilverBreeze Business Center);
• flexible working schedule;
• medical and Life insurance packages;
• support for GIG contract or private entrepreneurship arrangements;
• discounts at Fozzy Group stores and restaurants;
• psychological support services;
• Caring corporate culture;
• a team where you can implement your ideas, experiment, and feel like you are among friends.

On behalf of our client, we are looking for a highly skilled Data Analyst with strong Power BI expertise to join their growing team.

In this role, you will take ownership of data pipelines and lead the end-to-end development of automated reporting solutions. You'll design, optimize, and deliver impactful Power BI reports, supported by Python-based ETL processes and SQL database management.

Working closely with Finance and internal stakeholders, you will transform complex data into accurate, actionable, and scalable insights that drive smarter business decisions across multiple functions.

We're seeking someone who is proactive, detail-oriented, and hands-on — a problem solver who enjoys improving reporting processes, building efficient systems, and taking full ownership of Power BI solutions from concept to delivery.

If you're passionate about turning data into clear insights and creating reporting that truly adds value, this could be the perfect next step for you.

Key Responsibilities:

• Own, develop, and maintain Power BI dashboards and reports, ensuring clarity, performance, and business relevance.
• Maintain and enhance Python-based ETL pipelines, extracting data from multiple sources such as Azure SQL, MySQL, Telegram, Monday.com, and others for analysis and reporting.
• Ensure data quality, accuracy, and consistency across the full data flow—from ETL pipelines to Power BI and Excel financial reports.
• Collaborate closely with the Finance team to automate recurring reports and support ad-hoc analysis, improving productivity and decision-making.
• Implement enhancements and new features in Power BI models, DAX calculations, and ETL pipelines as business needs evolve.
• Proactively identify, troubleshoot, and resolve data or reporting issues.
• Work with internal teams to understand requirements and propose data-driven and reporting solutions, contributing to continuous process improvement.

Requirements

• Strong proficiency in  Power BI  , including data modeling, DAX, report optimization, and dashboard design.
• Proficiency in  Python  for ETL pipelines, data extraction, transformation, testing, and automation.
• Solid understanding of  SQL and database management  , preferably  Azure SQL  .
• Experience building  scalable, efficient, and reliable data workflows  .
• Ability to work independently and take ownership of Power BI reporting  , while collaborating effectively with finance and other business teams to support data-driven decisions.

What We Offer:

• Competitive salary and benefits package.
• Opportunities to work on cutting-edge data and IT projects.
• A collaborative and fast-paced working environment.
• Career growth opportunities in data engineering, automation, and IT development.

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

We are seeking an AI Architect to design, build, and guide the secure and scalable adoption of AI platforms and AI‑driven applications. This role partners with engineering, data science, and product teams to define AI solution architectures, ensure technical excellence, and embed best practices throughout the AI lifecycle—from data ingestion and model development to deployment and monitoring.

Key Responsibilities:

AI Architecture & Design

• Architect scalable AI/ML and LLM‑based solutions, including data flows, integration patterns, and deployment approaches.
• Conduct architectural reviews for new AI features and system changes.
• Define reference architectures and reusable AI patterns.

Collaboration With Engineering & Product Teams

• Partner with engineering, MLOps, and product teams to translate needs into AI solutions.
• Provide technical guidance that balances performance, cost, and speed.
• Build repeatable processes for reviewing AI capabilities and changes.

MLOps & Deployment

• Support integration of AI workflows into CI/CD processes.
• Promote automated testing, validation, and monitoring of AI models.
• Collaborate on tooling for model deployment, versioning, and observability.

Governance & Responsible AI

• Ensure AI designs follow internal governance and responsible AI principles.
• Support documentation and transparency for AI system behaviors.
• Align architectures with regulatory and compliance requirements.

Monitoring & Continuous Improvement

• Guide teams on monitoring, anomaly detection, and model performance tracking.
• Identify improvement opportunities and evolve AI architecture standards.
• Share best practices and mentor teams on modern AI technologies.

Required Skills:

• Experience in AI/ML system design, cloud‑native architecture, or application architecture.
• Strong understanding of the AI/ML development lifecycle, including training, deployment, and inference.
• Hands‑on exposure to LLM applications, RAG pipelines, vector databases, and API‑based AI integrations.
• Familiarity with MLOps, DevOps, and modern cloud platforms (Azure, AWS, GCP).
• Strong communication skills and ability to work cross‑functionally.
• Curiosity and passion for emerging AI technologies.

Preferred Qualifications:

• Experience building or securing generative AI applications.
• Knowledge of frameworks like NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS, ISO/IEC 42001.
• Cloud or AI‑related certifications.
• Background in ML engineering or MLOps.

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

We are seeking a highly skilled and experienced Business Analyst.
 

Payment systems, Crypto, Software development, in particular:

•  Expertise in gathering, analyzing, and documenting business requirements (incl.functional, non-functional);
• Experience in Agile methodology, writing user stories in Jira, building processes/ required flows and diagramming (UML, BPMN etc);
• Experience in preparing functional and detailed system design documents;
• Ability to communicate effectively across multiple levels of the organization, including with leadership;
• Demonstrated leadership, initiative, analytical skills, and sound business acumen, including the ability to understand and analyze recommendations;
• Experience with all phases of testing (i.e., system, integration, user acceptance), including creating use cases, test conditions, and review of output; 
• Must be able to adjust and work effectively in a dynamic, changing environment;
• Provide weekly/daily status updates on services and work completed.

We are looking for talented folks who:

• Want to know why things work the way they do;
• Excel at explaining things with the right amount of detail;
• Are capable communicators with the spoken and written word;
•  Know how to collaborate within a team environment;
•  Are dedicated learners with the ability to use software;
• Are clarifying business ideas and standardizing the software development

process. 

Working conditions:

•  Work schedule from 10:00 to 19:00;
•  Remote work;
• We provide all the necessary tools for your successful and comfortable work;
•  Training at the expense of the company (courses, seminars, new and interesting projects);
• Learning English at the expense of the company;
•  Compensation for coworking place;
•  Ability to switch between projects and try yourself in different roles.
   

Google Cloud Solutions Architect / Pre-Sales Engineer

Company: Softprom Solutions
Location: Remote (Ukraine)
Employment: Full-time, FOP (contractor)

About the role

Softprom Solutions is looking for a Google Cloud Solutions Architect / Pre-Sales Engineer to join our Cloud team.

This role is ideal for a specialist with hands-on experience in Google Cloud Platform and an active Google Cloud certification, who wants to work on real commercial projects, participate in pre-sales activities, and grow in cloud architecture.

Responsibilities

• Design and document Google Cloud architectures according to the Google Cloud Architecture Framework
• Participate in pre-sales activities:
  • technical discovery with customers
  • solution design
  • participation in demos and presentations
• Deployment and configuration of core GCP services, including:
  • Compute Engine, Cloud Storage, Cloud SQL
  • VPC, IAM, Load Balancing
  • Cloud Functions / Cloud Run
• Design and configure GCP networking:
  • VPC networks, subnets
  • Firewall rules
  • Routes
• Implement and support Infrastructure as Code (IaC) using Terraform
• Create technical and solution documentation
• Act as a technical point of contact for sales and customers

Requirements (Must have)

• Active Google Cloud certification
  (Associate Cloud Engineer or Professional Cloud Architect)
• Experience as Cloud Engineer / Solutions Architect / Pre-Sales Engineer
• Practical understanding of Google Cloud core services:
  • Compute, Storage, Databases, Networking, Security
• Solid networking knowledge:
  • TCP/IP (L3, L4)
  • IP addressing, subnetting
  • DNS
• Understanding of cloud principles:
  • High Availability
  • Fault Tolerance
  • Scalability
  • Security
• Linux skills (command line)

Nice to have

• Experience in pre-sales or customer-facing roles
• Experience with Terraform
• Basic scripting skills (Python, Bash)
• Experience with Docker, Kubernetes (GKE), Cloud Run
• Experience with AWS or multi-cloud environments

Soft skills

• Ability to communicate technical solutions to non-technical audiences
• Structured and analytical thinking
• Proactivity and ownership
• Ukrainian — fluent
• English — reading and basic spoken (technical / pre-sales)

We offer

• Compensation: $2000 USD + project-based bonuses
• FOP cooperation
• Full-time workload
• Real commercial Google Cloud projects
• Participation in pre-sales and architecture design
• Professional growth in Cloud & Solutions Architecture
• International projects and vendors
• Strong cloud team and mentorship

Key Responsibilities:

• End-to-end HR budgeting across 10+ projects and maintaining budget templates
• Build and maintain Power BI dashboards integrating multiple data sources
• HR data analytics and reporting to support strategic decisions
• Process improvement and automation, including ETL pipelines
• Ensure HR data integrity and quality
• Provide analytical support to HR and business stakeholders

Required Skills & Experience:

• Minimum 3 years in data analytics with a focus on HR, budgeting, and financial analysis
• Proficiency with HRIS and analytical tools
• Advanced Google Sheets (Apps Script preferred), Power BI, SQL; Python is a plus
• Strong analytical, problem-solving, and ETL skills, experience with large datasets

We offer:

• Children Allowance
• Mental Health Support
• Sport Activities
• Language Courses
• Automotive Services
• Veterinary Services
• Home Office Setup Assistance
• Dental Services
• Books and Stationery
• Training Compensation

AWS Cloud Engineer

Softprom Solutions
Azerbaijan | Remote / Hybrid
Full-time | Contractor (Individual Entrepreneur)
Contract with Austria

About Softprom

Softprom Solutions is an international IT distributor and solutions provider working with leading global vendors in Cloud, Cybersecurity, Infrastructure, and Enterprise IT.

We are expanding our Cloud Practice and are looking for an AWS Cloud Engineer in Azerbaijan who wants to grow professionally, work on real customer projects, and collaborate with international teams under an Austrian contract.

About the role

This role is ideal for an AWS-certified engineer with solid fundamentals who wants to deepen hands-on experience in cloud architecture, deployments, automation, and customer-facing work.

You will work closely with senior architects, sales teams, and customers, participating in both technical delivery and pre-sales activities.

Responsibilities

• Support the design and documentation of AWS cloud architectures following the AWS Well-Architected Framework
   
• Participate in deployment and configuration of core AWS services, including
  VPC, EC2, S3, RDS, IAM, Lambda, Load Balancers
   
• Assist with AWS networking configuration:
  Subnets, Route Tables, Security Groups, NACLs
   
• Contribute to automation and Infrastructure as Code (IaC) initiatives using
  Terraform and/or AWS CloudFormation
   
• Create and maintain technical documentation for architectures and configurations
   
• Participate in customer meetings, presentations, and demos, explaining AWS solutions and capabilities
  
   

Requirements (Must have)

• Active AWS Certified Solutions Architect – Associate (SAA-C03)
   
• Solid theoretical understanding of AWS core services:
  Compute, Storage, Databases, Networking, Security
   
• Basic networking knowledge:
  TCP/IP (L3, L4), IP addressing, subnetting, DNS
   
• Understanding of cloud principles:
  High Availability, Fault Tolerance, Scalability, Security
   
• Basic Linux skills (command line)
   
• Ability to read and understand technical documentation in English
  
   

Nice to have

• Hands-on experience with Terraform or CloudFormation
   
• Basic scripting skills (Python, Bash)
   
• Familiarity with Docker, Kubernetes, ECS
   
• Personal, educational, or non-commercial projects deployed on AWS
  
   

Soft skills

• Strong motivation to learn and grow in cloud engineering
   
• Structured and analytical thinking
   
• Clear and confident communication
   
• Ukrainian or Russian — fluent
   
• English — reading technical documentation (spoken English is a plus)
  
   

We offer
 

• Individual Entrepreneur (FOP) / contractor model
   
• Official contract with Austria
   
• Full-time workload
   
• Real commercial AWS projects (not internal labs)
   
• Participation in architecture design and pre-sales activities
   
• Professional growth within Cloud & Solutions Architecture
   
• International customers and vendors
   
• Supportive, senior cloud team and mentorship

Наш клієнт, Growe, провідна консалтингова компанія та група сервісів у сфері iGaming і розваг. Вони створюють стратегії, що працюють, та рішення, які масштабуються. Поєднуючи стратегічне бачення з практичним досвідом, Growe допомагає бізнесам орієнтуватися в динамічній індустрії, відкривати нові можливості, виходити на нові ринки та досягати сталого зростання.

Ідеально для тих, хто прагне:

• Підтримувати Product Manager’ів і стейкхолдерів, які разом із командою розробки формують дорожню карту продукту;
• Визначати вимоги до рішень, включно з функціональними та нефункціональними, і готувати відповідну документацію;
• Працювати з Product Manager’ами, допомагаючи пріоритизувати та уточнювати беклог продукту;
• Виконувати управління вимогами, їх пріоритизацію, трасованість, верифікацію та валідацію;
• Допомагати команді ефективно комунікувати зі стейкхолдерами.

Досвід, який стане твоєю перевагою:

• 3+ роки досвіду роботи на позиції Business Analyst;
• Практичний досвід створення різних BA-артефактів, таких як бізнес-, функціональні та нефункціональні вимоги у різних форматах (user stories з acceptance criteria, use cases);
• Впевнений досвід створення різних типів діаграм (UML, BPMN, ERD), схем, дорожніх карт і графіків;
• Практичний досвід моделювання даних, процесів та API;
• Гарний практичний досвід роботи з повним життєвим циклом вимог (збір, співпраця й аналіз, специфікація та моделювання);
• Досвід роботи з інструментами управління вимогами (Jira, Confluence);
• Досвід роботи з різними моделями SDLC, зокрема каскадними (plan-based) та Agile-підходами до розробки ПЗ;
• Рівень англійської мови — Upper-Intermediate або вище.

Ми цінуємо:

• Сильні навички комунікації, переговорів і презентації, здатність проводити зустрічі з особами, які приймають рішення;
• Самомотивованість і орієнтованість на результат, здатність гнучко працювати в динамічному середовищі;
• Бажання навчатися та постійно вдосконалюватися.

Наші клієнти пропонують конкурентні переваги для підтримки вашого професійного та особистого зростання, зокрема:

• Орієнтація на здоров’я та добробут;
• Глобальне медичне страхування;
• Можливості для зростання;
• Програми бенефітів (компенсація спорту / стоматології / психолога тощо);
• Бонуси за досягнення результатів;
• Динамічне робоче середовище.

Долучайся — і нехай твоя історія зростання розпочнеться.

English version

Our client, Growe, is a leading business advisory and services group in iGaming and Entertainment. Сreators of strategies that work and solutions that scale. Combining strategic vision with hands-on expertise, Growe helps businesses navigate the fast-evolving industry, seize new opportunities, enter new markets, and achieve sustainable growth.

Perfect for those who aim to:

• Support Product Managers and stakeholders who are driving the product roadmap together with the development team;
• Define solution requirements, including functional and non-functional requirements, and prepare the corresponding documentation;
• Work with Product Managers to help prioritize and refine the product backlog;
• Perform requirements management, prioritization, traceability, verification, and validation;
• Help the team communicate effectively with stakeholders.

Experience you’ll need to bring:

• 3+ years of experience as a Business Analyst;
• Practical experience in creating different BA artifacts such as business, functional, and non-functional requirements using different formats (user stories with acceptance criteria, use cases);
• Strong experience in creating different types of diagrams (UML, BPMN, ERDs), flows, roadmaps, and charts;
• Practical experience in data, process, and API modeling;
• Good practical experience with the full requirements lifecycle (elicitation, collaboration and analysis, specification, and modeling);
• Good experience with requirements management tools (Jira, Confluence);
• Good experience with different SDLC models, including plan-based and Agile approaches to software development;
• English level: Upper-Intermediate or higher.

It’s a perfect match if you have those personal features:

• Strong communication, negotiation, and presentation skills, with the ability to facilitate meetings with decision-makers;
• Self-motivated and results-oriented, with the ability to work flexibly in a dynamic environment;
• Willingness to learn and continuously improve.

Our clients offer competitive benefits to support your professional and personal growth, including:

• Health & Wellness Focus;
• Global Medical Coverage;
• Growth Opportunities;
• Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);
• Performance-Driven Rewards;
• Dynamic Work Environment.

Apply, and let your growth journey begin.

AI Business Analyst

We invite you to join our product team developing a B2B SaaS platform specializing in Unreal Engine and next generation 3D visualization platforms for e-commerce.

Responsibilities:

1. Analyze existing business processes and workflows to identify where AI/ML solutions can drive efficiency or create value
2. Monitor the AI landscape and keep the product team and business stakeholders informed on emerging tools, particularly for 3D modeling, image generation, video generation, and editing
3. Design and execute experiments to evaluate AI products, writing test scenarios aligned with existing product workflows
4. Engineer and refine prompts for various AI systems
5. Research technical requirements for integrating AI tools with our Angular front-end, back-end services, and Unreal Engine applications to inform integration decisions

6. Conduct cost-benefit analyses and develop business cases for proposed AI investments

    

Requirements:

1. Hands-on experience with AI image generation models
2. Understanding of image generation control techniques such as ControlNet, IP-Adapter, or similar approaches
3. Familiarity with fine-tuning methods including LoRA (Low-Rank Adaptation) or equivalent techniques
4. Experience building or configuring AI agents, workflows, or automated pipelines using available platforms or frameworks
5. Written and spoken English sufficient for direct communication with US-based stakeholders
6. Ukrainian/russian language is needed to communicate with the team.
    

Nice to Have:

1. Familiarity with 3D modeling workflows and asset pipelines
2. Understanding of marketing image and video production processes
3. Ability to assess visual quality of AI-generated images and videos against production standards
4. Experience with AI-assisted development or coding tools

We at Sigma Software are looking for a skilled Senior Data Engineer to join an exciting short-term project with a US-based customer. This is a remote position, offering you the flexibility to work from anywhere while contributing to a high-impact data platform.

In this role, you will take ownership of designing and optimizing the data foundation for an automated storage capacity forecasting platform. You’ll work with modern technologies, collaborate with experienced engineers, and have the opportunity to influence both technical and process decisions.

Why join us? At Sigma Software, you’ll work in a culture that values innovation, encourages knowledge sharing, and offers the chance to make a real impact on projects used by thousands of businesses worldwide.

CUSTOMER
Our customer is ConnectWise — a US-based software company providing business automation solutions for Managed Service Providers (MSPs). ConnectWise offers a suite of tools for IT service management, cybersecurity, remote monitoring, and business process automation. Their solutions are used globally by thousands of MSPs to streamline operations, improve service delivery, and enhance security for small and medium-sized businesses (SMBs).

PROJECT
The project focuses on building an automated storage capacity forecasting platform for MSPs. The platform will model historical infrastructure data, enable predictive insights, and support lifecycle planning for hardware and storage resources.
It will integrate PostgreSQL, Python-based ETL pipelines, and PowerBI analytics to deliver accurate capacity forecasts and actionable reports for an 18-month planning horizon. The work environment encourages technical ownership, process improvement, and collaborative problem-solving with the customer’s engineering team.

Project duration is 3-4 months

RESPONSIBILITIES

• Design and optimize PostgreSQL data models for historical capacity and lifecycle tracking
• Build and maintain robust ETL pipelines using Python for structured and semi-structured (JSON) data
• Aggregate and structure data by Region, Node Type, and time dimensions
• Support time-series analysis and capacity forecasting use cases
• Develop and enable PowerBI datasets, models, and reports based on clean, reliable data
• Ensure data quality, performance, and scalability across the pipeline
• Translate infrastructure and business requirements into scalable data solutions

• Collaborate closely with software developers and stakeholders on end-to-end data workflows

   

REQUIREMENTS

• At least 5 years of experience as a Data Engineer or in a similar data-focused role
• Strong proficiency in SQL and relational databases, preferably PostgreSQL
• Solid experience with Python for data transformation and pipeline development
• Hands-on experience working with JSON and semi-structured data formats
• Proven track record of building and optimizing ETL processes
• Practical experience with PowerBI, including dataset modeling and report creation
• Experience working with time-series and historical datasets
• Strong understanding of data modelling principles for analytics and forecasting

• Upper-Intermediate level of English 

   

WILL BE A PLUS:

• Experience with Kibana or other BI/visualization tools
• Familiarity with monitoring, infrastructure, or capacity planning data
• Exposure to forecasting techniques or growth trend analysis
• Experience integrating data from metrics and inventory systems

About: The team is building an AI platform in the gaming industry, working with LLMs, RAG, and multi-agent systems in production.

Responsibilities:

• Design LLM architecture: RAG, multi-agent, tool-calling, memory
• Scale/optimize vector & semantic search (pgvector, hybrid search, reranking)
• Build pipelines for GDD processing and validation
• Develop prompt engineering, evaluation, and guardrails
• Integrate local and cloud LLMs (Ollama / OpenAI-compatible APIs)
• Design fault-tolerant AI systems for production workloads
• Implement monitoring for quality, latency, and cost
• Architect multi-agent workflows and manage agent coordination
• Prepare the platform for TypeScript code auto-generation
• Code review, mentoring, and team technical growth

Must-have:

• 3+ years in ML / Applied AI / LLM projects
• Strong Python
• Hands-on LLM, RAG, embeddings, vector search
• Production AI/ML system design & maintenance
• Multi-agent architectures and LLM orchestration
• PostgreSQL + pgvector (or similar)
• Async and event-driven pipelines
• Docker (production)

• Architectural mindset and ownership

   

Nice-to-have:

• HuggingFace / vLLM / OpenAI / Ollama
• Hybrid search, rerankers, long-context strategies
• RabbitMQ / Redis
• CI/CD and MLOps practices
• TypeScript (basic understanding)
• Experience in game dev or content generation
• Confluence / Jira API integrations

Domain: iGaming / Gambling
Format: Product company
Experience: 5+ years

About the Company

We are an international product company operating in the gambling sector. Our platform delivers real-time personalization for casino and sportsbook products using advanced machine learning. The solution processes live behavioral, transactional, and contextual data to improve player engagement, retention, and overall performance for operators worldwide.

Our focus is on building production-grade ML systems that directly influence what users see in real time — from game recommendations to personalized content and promotions.

Role Overview

We are looking for a Senior Data Scientist to join a product-focused team working on real-time personalization and recommendation systems for iGaming platforms.

This is a hands-on role that combines modeling, experimentation, and close collaboration with engineering and product teams in a high-load, real-time production environment.

Main Responsibilities

• Develop ML-driven features for casino products using supervised learning (regression, ranking, classification)
• Maintain and improve existing recommendation systems in production
• Enhance models using gradient boosting and other supervised approaches
• Perform data cleaning, preprocessing, and feature engineering
• Design and maintain pre- and post-processing workflows
• Optimize training and inference pipelines for performance and reliability
• Integrate ML models into Airflow pipelines in a multi-tenant environment
• Adapt and configure the solution for different clients (tenants)
• Collaborate closely with product and engineering teams on experimentation and feature delivery

As Part of the Team You Will

• Work cross-functionally with data scientists, engineers, product owners, designers, and researchers
• Analyze large-scale datasets to extract insights for product and business decisions
• Propose, implement, and evaluate ML approaches to solve real business problems
• Support and evolve a recommendation solution used across multiple tenants
• Influence product strategy through research, experimentation, and data-driven insights into user behavior

Experience & Education

• 5+ years of professional experience in data science
• Degree in a quantitative field (Mathematics, Statistics, Computer Science, or similar)

Core Skills

• Strong proficiency in Python and SQL
• Hands-on experience with data processing tools (Pandas, Polars)
• Solid engineering skills for building and maintaining scalable ML systems
• Experience implementing observability in ML pipelines (metrics, logging, alerting)
• Knowledge of Docker and Kubernetes
• Strong analytical mindset with the ability to solve loosely defined problems
• Hands-on experience with supervised ML techniques, including:
  • Regression and ranking models (XGBoost, LightGBM, CatBoost, neural networks)
  • Feature engineering and model evaluation (AUC, NDCG, MSE, uplift metrics)
  • Personalization or recommendation systems
• Proven experience deploying ML models to production (near real-time or batch)
• Solid understanding of statistical methods (A/B testing, significance testing)

Nice to Have

• Production experience with large-scale recommendation systems
• Experience with Airflow, Valkey/Redis, FastAPI in production
• Familiarity with contextual bandits or reinforcement learning
• Experience with AutoML tools

Delta M is a product IT company that is part of the international group of companies Delta M Group, which has been successfully implementing software solutions worldwide for more than 18 years (our products are used across Eurasia, Africa, and Latin America).
 

Our software — Delta M. CRM and Delta Tel — is installed in more than 100 banking and financial institutions in over 20 countries and is the best system solution in terms of the “price/functionality” ratio.
 

Due to business expansion, the company is looking for a Business Analyst for the IT department, to join the team in Ukraine (remote format).
 

Your responsibilities:

• Gathering, analyzing, and documenting client business requirements.
• Writing technical specifications for the development or modification of software functionality.
• Verifying that the implemented functionality complies with the stated requirements and quality standards.
• Managing integration projects and coordinating with internal and external teams.
• Developing, optimizing, and analyzing SQL queries to ensure efficient database performance.
• Maintaining project documentation, including technical and user documentation.

• Identifying and analyzing opportunities to improve existing processes and systems.

   

It is important for us:

• Knowledge and practical application of Use Case and User Story.
• Experience in creating technical specifications (TS).
• Knowledge of BPMN and UML.
• SQL knowledge at the level of writing queries and procedures.
• Knowledge and experience in implementing data exchange methods using APIs.
• Knowledge in the field of information technology — CRM systems, IP telephony.
• Excellent communication skills, proactivity, ability to work in a multitasking environment and meet deadlines.
   

Will be an advantage:

• Technical education (higher / incomplete higher education).

• Knowledge of the financial sector domain (banking, debt collection, including legal processes, credit monitoring, telemarketing).

   

We offer:

• Work in a successful international business and the opportunity to realize your potential and ambitions!
• Interesting tasks, work with the country’s leading banks.
• Working hours from 9:00 to 18:00 (Kyiv time) (5/2).
• Remote work format.
• Official employment in Kazakhstan.
• Salary level is discussed individually.
   

Ready to become part of Delta M? Send your resume — we will be glad to meet you!

If your experience and skills match the position requirements, we will contact you within 5 business days.

About us:

ARRISE sets the benchmark for service delivery and excellence in the iGaming industry. Playing a key role in the success of its clients, which include Pragmatic Play, a brand relied upon by the world’s biggest online casinos for its cutting-edge products, ARRISE helps to deliver exceptional gaming experiences to millions of players worldwide.

Our global team of talented and driven professionals are shaping the future of iGaming. Headquartered in Gibraltar, we have offices spanning Canada, India, the Isle of Man, Latvia, Malta, Romania, Serbia, Bulgaria, and the UAE, and more exciting destinations on the horizon.

At ARRISE, we take pride in creating growth opportunities at all levels, constantly investing in our people while welcoming new colleagues and forging strategic partnerships that open new opportunities for success. 

To achieve this, we bet on ourselves. We know that success is a collective effort, and our team is driven by ambition, collaboration, and a shared commitment to grow and succeed—while embracing every step of the journey.

Be part of the future of iGaming with ARRISERS! See a job that excites you? Apply now, and our friendly recruitment team will connect with you soon. Your journey starts here!
 

Requirements: 

• 5+ years of PostgreSQL, Pg/SQL development experience. 
• Oracle SQL, PL/SQLL development experience will be a big plus. 
• Shredding, changing and understanding older code without the need to know everything about a business process is imperative. 
• Query performance analyzing and tuning. 
• Experience with high loaded OLTP systems. 
• Experience with very large databases. 
• Experience with design, development, and maintenance of reporting and data warehouse databases a plus. 
• Experience with migrating schemas and data from Oracle to other RDBMS a plus. 
• Basic DB administration experience. 
• Familiarity with database design, documentation and coding. 
• Familiarity with programming languages API. 
• Problem solving skills and ability to think algorithmically. 
• Experience with Amazon Redshift, RDS, Aurora is a plus. 

General skills: 

• English (reading/writing/speaking) — min Intermediate level. 
• Experience in working with people. 
• Quick understanding and learning abilities. 
• Ability to work on several tasks in parallel. 

 
Responsibilities: 

• Responsible for designing, coding, and implementing software solutions using modern techniques and programming SQL language. 
• Provides high-level database development assistance in creating specific applications for businesses. 
• Provides general support on information technology to design, develop, execute, and maintain the database application systems, applying several RDBMS. 
• Ensures research and innovation at all levels of the software development process. 
  May participate in multiple projects simultaneously as a senior development team member. 
• Works harmoniously in a cross-functional team comprising managers, supervisors, business analysts, systems personnel, network staff, and other developers in ensuring the delivery of software solutions as planned, within set budget, and timely. 
• Acts as a coach or mentor to junior software developers. 
• Provides excellent customer service by responding to and assisting with help desk calls to resolving issues, including system outages. 

Company offers: 

• Long-term employment. 
• Flexible timetable. 
• Comfortable working conditions. 
• Paid vacation and sick leaves. 
• English lessons, gym. 
• Competitive salary level. 

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Computer Vision / Machine Learning Engineer to develop offline CV models for industrial visual inspection.

Your main task will be to design, train, and evaluate models on inspection data in order to:

• Improve discrimination between good vs. defect samples
• Provide insights into key defect categories (e.g., terminal electrode irregularities, surface chipping)
• Significantly reduce false-positive rates, optimizing for either precision, or recall
• Prepare the solution for future deployment, scaling, and maintenance
•  

Key Responsibilities:
Data Analysis & Preparation
- Conduct dataset audits, including class balance checks and sample quality reviews
- Identify low-frequency defect classes and outliers
- Design and implement augmentation strategies for rare defects and edge cases
Model Development & Evaluation
- Train deep-learning models on inspection images for defect detection
- Use modern computer vision / deep learning frameworks (e.g., PyTorch, TensorFlow)
- Evaluate models using confusion matrices, ROC curves, precision–recall curves, F1 scores and other relevant metrics
- Analyze false positives/false negatives and propose thresholds or model improvements
Reporting & Communication
- Prepare clear offline performance reports and model evaluation summaries
- Explain classifier decisions, limitations, and reliability in simple, non-technical language when needed
- Provide recommendations for scalable deployment in later phases (e.g., edge / on-prem inference, integration patterns)

Candidate Requirements:
Must-have:
- 1-2 years of hands-on experience with computer vision and deep learning (classification, detection, or segmentation)
- Strong proficiency in Python and at least one major DL framework (PyTorch or TensorFlow/Keras)
- Solid understanding of:

• Image preprocessing and augmentation techniques
• Classification metrics: accuracy, precision, recall, F1, confusion matrix, ROC, PR curves
• Handling imbalanced datasets and low-frequency classes

- Experience training and evaluating offline models on real production or near-production datasets
- Ability to structure and document experiments, compare baselines, and justify design decisions
- Strong analytical and problem-solving skills; attention to detail in data quality and labelling
- Good communication skills in English (written and spoken) to interact with internal and client stakeholders

Nice-to-have:
- Experience with industrial / manufacturing computer vision (AOI, quality inspection, defect detection, etc.)
- Familiarity with ML Ops/deployment concepts (ONNX, TensorRT, Docker, REST APIs, edge devices)
- Experience working with time-critical or high-throughput inspection systems
- Background in electronics, semiconductors, or similar domains is an advantage
- Experience preparing client-facing reports and presenting technical results to non-ML audiences

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- 40 days of PTO;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.