Jobs Data & Analytics

Technical leader of the AI solutions practice: accountable for the architecture and quality of solutions the team takes from pilot to production, and for the technical management of the team.

Scope of responsibility

• Technical architecture of AI solutions: choosing the approach (RAG, fine-tuning, agentic pipelines, classical ML) and assessing the cost / quality / time-to-deploy trade-offs
• Decomposing business requirements into a technical backlog; effort estimation and building estimates with appropriate buffers
• Technical management of a team of 5-10 people: task allocation, code review, mentoring, competency development
• Ownership of delivering projects to a measurable business outcome rather than to a demo
• Establishing the quality loop for models: metrics, evaluation sets, regression testing of prompts and pipelines

• Technical communication with clients: defending architectural decisions, participating in presales and proposal development

   

Must-have requirements

• 5+ years in  ML, including 2+ years in a technical leadership role (team lead, tech lead)
• Hands-on experience taking LLM solutions to production: RAG, vector stores, agent orchestration, working within context and model constraints
• Production-level Python; solid understanding of API integrations, queues, and asynchronous pipelines
• Experience with cloud platforms (Azure / AWS / GCP), containerisation, and basic CI/CD
• Estimation and planning skills: able to produce a realistic estimate and explain what it consists of
• Ability to hold a technical conversation with business stakeholders without falling into jargon

• English at Upper-Intermediate level or above (documentation and client-facing work)

   

Nice to have

• Experience in a consulting or project-based delivery model (multiple parallel clients, fixed scopes)
• Experience building LLM output quality assessment processes (LLM-as-judge, human-in-the-loop)
• Experience with as-is / to-be process mapping and identifying automation opportunities
• Experience introducing AI-assisted development practices (agentic coding tools, conventions) to a team

• Experience with self-hosted model deployment and its cost economics

   

Soft skills and management profile

• Takes ownership of the team's results, not only of their own code
• Able to tell a client "this won't work" and propose an alternative
• Develops people: walks through the reasoning behind decisions rather than simply correcting them
• Comfortable working with unstable requirements — the normal condition of AI projects
• Willing to run difficult performance conversations, not only supportive mentoring

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

Always Pushing the Boundaries? You Already Belong at RISK!

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

We are looking for an Reporting Analyst to join our team.
 

Responsibilities:

• Monitor data quality by validating accuracy, consistency, and completeness of data across reports and dashboards;
• Perform routine checks to ensure timely updates and reliability of reporting data;
• Collaborate with analysts and stakeholders to clarify data requirements and ensure correct interpretation of metrics;
• Create and maintain automated reports and dashboards for tracking key product metrics;
• Identify, investigate, and help resolve discrepancies in data collection, transformation, and processing;
• Optimizing Tableau dashboard performance and streamlining workflows to drive operational efficiency and enhance user experience.
   

Requirements:

• 2+ years of experience with BI tools (Tableau);
• Advanced SQL skills (MySQL, PostgreSQL) and experience in building complex analytical queries;
• Ability to translate business problems into analytical solutions;
• Strong analytical skills;
• Experience in communicating with internal stakeholders: requirements gathering, finding solutions, and presenting results;
• Ability to work independently and manage tasks from end to end;
• English level: Pre-Intermediate or higher.
  
  Our Benefit Cafeteria is Packed with Goodies:
  • Children Allowance
  • Mental Health Support
  • Sport Activities
  • Language Courses
  • Automotive Services
  • Veterinary Services
  • Home Office Setup Assistance
  • Dental Services
  • Books and Stationery
  • Training Compensation
  • And yes, even Massage!
     

Ready to Take the Leap?

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

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

About 3DLOOK
3DLOOK is a leader in AI-powered body measurement technology. Our proprietary computer vision platform transforms two smartphone photos into accurate 3D body measurements and body composition data used by global brands in apparel, healthcare, fitness, and wearables. We build scalable AI solutions that solve real-world problems for enterprise customers worldwide.

About the Role
We're looking for a Senior Backend Engineer to design, build, and scale the backend services powering our AI platform. You'll develop high-performance APIs and distributed systems, optimize cloud infrastructure, and collaborate with Product, AI, Mobile, and DevOps teams to deliver reliable, scalable solutions used by enterprise customers.

Responsibilities
- Design, develop, and maintain scalable and reliable backend systems, services, and
APIs.
- Translate business requirements into scalable, reliable, and maintainable solutions.
Improve the reliability, observability, and performance of existing systems.
- Troubleshoot production issues and perform fixes or enhancements.
Integrate third-party APIs and cloud services.
- Write clean, maintainable, and well-tested code.
- Participate in code reviews, release processes, and contribute to engineering best practices.
- Contribute to CI/CD pipelines and deployment processes.
- Work with containerized applications and Kubernetes-based deployments.
- Collaborate closely with cross-functional engineering teams.

Qualifications
Required
- 7+ years of commercial Python development experience.
- Strong knowledge of Python 3.x and the standard library.

- Excellent knowledge of Django and its ecosystem.
- Deep understanding of concurrent programming (multithreading, multiprocessing, asyncio).
- Experience with asynchronous frameworks (FastAPI, aiohttp)
- Strong understanding of OOP, SOLID, DRY, and KISS principles.
- Deep understanding of RDBMS(PostgreSQL) and NoSQL systems.
- Experience working with ORMs (Django ORM, SQLAlchemy).
- Experience designing and building distributed systems.
- Experience with AWS services, containerization, Git, and CI/CD pipelines.
- Experience with Celery, Redis, RabbitMQ, or similar messaging systems.
- Experience integrating third-party APIs.
- Experience writing automated tests using pytest and unittest.
- Experience working in Agile/Scrum environments and participating in code reviews, design discussions, and release cycles.
- Ability to write clean, structured, and maintainable code.
- Upper-Intermediate (B2+) English or higher with strong written and verbal communication skills.
- Experience using AI-assisted development tools to improve development productivity and code quality.
- Comfortable leveraging modern AI tools for code generation, debugging, documentation,
testing, and research while maintaining high engineering standards.
- Ability to effectively use AI-powered development tools to accelerate software delivery
and improve engineering efficiency.
 

Location
- Fully remote.
- Comfortable collaborating across European and US time zones.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
• 7+ years of experience in data science or machine learning roles, ideally with exposure to healthcare projects.
• Strong knowledge of ML frameworks such as scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM.
• Proficiency in Python for data science and related libraries (NumPy, pandas, matplotlib, seaborn, etc.).
• Experience working with large datasets and data processing frameworks (e.g., Spark, Dask, SQL).
• Understanding of MLOps concepts and tools (e.g., MLflow, Kubeflow, Vertex AI, Azure ML).
• Familiarity with cloud environments (Azure, AWS, or GCP) for training and deploying models.
• Experience with model interpretability, fairness, and explainability techniques.
• Strong communication and visualization skills for storytelling with data.
• English proficiency at Upper-Intermediate level or higher.

Preferred Qualifications (Nice to Have)

• Experience working with medical data (EHR, imaging, wearables, clinical trials, etc.).
• Familiarity with healthcare regulations related to data and AI (e.g., HIPAA, GDPR, FDA AI/ML guidelines).
• Knowledge of FHIR, HL7, or other healthcare interoperability standards.
• Practical experience with deep learning models (e.g., CNNs for imaging, transformers for NLP).
• Involvement in presales, proposal writing, or technical advisory work.

Job responsibilities

• Lead the design and development of AI/ML solutions across HealthTech and MedTech projects.
• Participate in technical presales by analyzing business cases and identifying opportunities for AI/ML application.
• Build and validate predictive models, classification systems, NLP workflows, and optimization algorithms.
• Collaborate with software engineers, cloud architects, and QA to integrate models into scalable production systems.
• Define and guide data acquisition, preprocessing, labeling, and augmentation strategies.
• Contribute to the development of GlobalLogic’s healthcare-focused AI accelerators and reusable components.
• Present technical solutions to clients, both business and technical audiences.
• Support model monitoring, drift detection, and retraining pipelines in deployed systems.
• Ensure adherence to privacy, security, and compliance standards for data and AI usage.
• Author clear documentation and contribute to knowledge sharing within the Architects Team.

• Project Description:

  The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week.
  
  Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart.
  
  Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.

• Responsibilities:

  We are looking for Senior Data Engineer to implement a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture.

• Mandatory Skills Description:

  • Overall years of experience required 8+
  • Strong, recent hands-on expertise with Azure Data Factory and Synapse is a must (3+ years).
  • Strong expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval.
  • Strong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions.
  • Extensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses.
  • Ability to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuing.
  • Proficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault)
  • Proficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages.
  • Experience integrating metadata and governance processes into cloud-based data platforms
  • Certification in Azure, Databricks, or other relevant technologies is an added advantage
  • Experience with cloud-based analytical databases.
  • Experience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix.
  • Experience with Python and Python-based ETL tools.
  • Experience with shell scripting in Bash, Unix or windows shell is preferable.
  • Demonstrated ability to lead cross-functional engineering teams, define technical strategy and architecture, drive delivery of complex data platforms, mentor engineers, and effectively communicate with stakeholders at all organizational levels.

• Nice-to-Have Skills Description:

  • Experience with Elasticsearch
  • Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
  • Troubleshooting and Performance Tuning: Ability to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analysis.
  • Collaboration and Communication: Strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams.
  • Ability to plan, estimate and track progress of implementing features
  • Computer Science and data science academic and education credentials

• Languages:
  • English: B2 Upper Intermediate

Milionyx is a full-cycle iGaming company. We bring together in-house technology development, performance marketing, analytics, and operational expertise.

We are looking for a Senior Data Scientist to become a key contributor to our Marketing Analytics team. The primary focus of this role is building predictive models that optimize user acquisition, evaluate traffic quality, forecast user value, and maximize marketing ROI.
Our product operates on a white-label solution, so the ideal candidate should be comfortable handling heterogeneous datasets, and developing scalable analytical and ML-solutions.

Responsibilities:
Develop and maintain predictive models for:

• LTV, Early LTV Prediction
• ROAS
• Marketing Payback Period
• FTD Prediction
• Deposit behavior forecasting
• Churn Prediction;
• Analyze traffic quality across acquisition channels and identify optimization opportunities;
• Build user value prediction models using early lifecycle behavioral signals;
• Build ML-solutions to optimize marketing budget allocation;
• Collaborate closely with Marketing, Retention, Product, and Tech Teams;
• Monitor model performance, retrain models when necessary, and support production ML-pipelines.

Required Experience:

• 3+ years of experience as a Data Scientist;
• Strong background in Marketing Analytics, User Acquisition, or Growth Analytics;
• Hands-on experience building predictive models for user behavior and business value forecasting;
• Experience delivering ML-solutions from research through production;
• Experience working with large-scale datasets;
• Ability to work with incomplete and heterogeneous data.

Required Technical Skills:

• Python (Pandas, NumPy, Scikit-learn);
• Advanced SQL;
• Git/GitLab;
• Gradient Boosting (XGBoost, LightGBM, CatBoost);
• Random Forest;
• Logistic Regression;
• Customer Segmentation & Clustering;
• Time Series Forecasting (preferred);
• Uplift Modeling (preferred).

Nice to have:

• AWS ecosystem;
• Amazon Athena;
• Apache Kafka;
• GTA (internal analytical data platform);
• Large-scale event-based datasets.

We offer

• Flexible work format — remote, hybrid, or office in Kyiv, whichever suits you best
• Monday–Friday schedule, 10:00 AM–6:00 PM
• 18 days of paid vacation, 10 sick days
• Direct communication with leadership and real influence on marketing and business decisions, without unnecessary bureaucracy

🚀 We’re on the hunt for a talented AI/ML Engineer to design, implement, and optimize cutting-edge AI/ML solutions. If you thrive on solving complex problems and creating production-ready models, we’d love to hear from you!

🎯 What You’ll Do:

• Develop and fine-tune AI/ML models for performance and scalability.
• Enhance production models, debug issues, and ensure reliability.
• Work with cross-functional teams to shape future AI/ML innovations.
• Explore emerging AI/ML technologies and recommend tools/frameworks.
• Build robust pipelines using Python, SQL, Docker, and more.

🧩 What We’re Looking For:

• Strong experience in AI/ML, data science, or data engineering.
• Expertise in Python, TensorFlow, Keras, Scikit-learn, and Generative AI.
• Familiarity with Docker, Streamlit, and data tools like Pandas and SQL.
• Strong communication skills and the ability to work independently.
• English: Upper-intermediate or higher.

🎯 We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays

• A normal, supportive team without unnecessary bureaucracy

   

Ready to shape the future of AI/ML with us? 🚀 Apply now and be part of something extraordinary!

🚀We are looking for an experienced Data Scientist for a full-time job to join our team.


🎯 Requirements:
-2+ years of experience as a data scientist
-BSc in Mathematics, Statistics, Computer Science, Economics, or another related field.
-Experience in using Python & SQL
-Experience with Airflow and GCP
-Experience with Git & CI/CD
-Upper Intermediate English — written and spoken
-Ability to design creative solutions for complex requirements
-Ability to learn and lead projects independently, and to work with minimal supervision with customers (tech & business)

🧩 Responsibilities:
-Conduct independent research, including defining research problems, creating research plans, designing experiments, developing algorithms, implementing code, and performing comprehensive comparisons against existing benchmarks;
-Clearly communicate your research findings to both technical and non-technical audiences
-Work on various data sources and apply sophisticated feature engineering capabilities
-Bring and use business knowledge
-Build and manage technical relationships with customers and partners.

🎯 We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

appflame — Ukrainian product-driven tech company building world-class products: Hily, Taimi, AdConnect, Mailkeeper, and more.

About us:

• 7 years in the market, 500+ team members, offices in Kyiv, London, Limassol, and a co-working hub in Warsaw.
• In 2025, appflame ranked 5th among the top 50 employers in Ukraine according to Forbes and won the “Best Place for Growth” award.
• Our apps Hily and Taimi are among the top 5 dating apps in the US with over 70 million users. AdConnect and Mailkeeper focus on building proprietary B2B and B2C solutions.

Our mission:

• To put Ukrainian-built products on the global map.

Our goals:

• Break into the global top 5 product companies.
• Become a unicorn.
• Make Ukraine a country where unicorns are born.

We’re looking for bold, driven people who are passionate about building real products and dream of launching and scaling great startups. You bring the ambition — we provide the environment to make it happen.
 

What you’ll do:

• Design and develop an AI-powered productivity analytics platform — from data pipeline architecture to the final analytical product that helps teams make data-driven decisions.
• Build scalable LLM pipelines (Claude, GPT): develop data chunking strategies, implement MapReduce approaches for parallel processing of large datasets, and synthesize results into structured reports and insights.
• Create a meta-workflow system where LLMs generate, test, and deploy automation scripts in an isolated environment — with automatic self-correction loops and production deployment without manual intervention.
• Develop system-level prompt engineering: build and maintain a library of prompt templates for various analytical scenarios — from summaries and profiles to deep performance analysis.
• Build an evaluation framework for AI output quality control: hallucination detection, consistency scoring, regression tests — ensuring the product delivers reliable and reproducible results.
• Scale the platform to new domains and analysis types without linear growth in manual effort — through an architecture that allows adding new modules via configuration, not code.
• Document AI architecture, define automation specs, and present product insights to stakeholders and clients.
   

It’s a match if you have:

• 2+ years of experience working with LLMs in production: prompt engineering, pipeline development, API integration — with at least 1 year of hands-on experience with advanced features (tool use, structured outputs, agents).
• Strong Python skills (async, dataclasses, type hints, API integrations) and a commitment to writing clean, testable, and maintainable code.
• Understanding of MapReduce patterns for LLM processing: ability to choose chunking strategies, organize parallel processing, and aggregate results into a cohesive analytical product.
• Experience building agentic systems: tool use, self-correcting loops, multi-agent workflows — and the judgment to know when an agent works better than a rigid pipeline.
• Proficiency in SQL and experience working with analytical databases.
• English at C1 level — comfortable reading documentation, writing technical specs, and communicating asynchronously.
• Ownership mentality: you take tasks end-to-end, debug production issues independently, and iterate to deliver results without micromanagement.
   

Nice to have:

• Experience with orchestration/automation platforms (Windmill, Dagster, Prefect) — understanding how to build reliable automated workflows.
• Knowledge of RAG architectures, vector databases, and embedding pipelines — ability to build systems that work with large volumes of unstructured data.
• Experience building evaluation systems for LLMs (LangSmith, PromptFoo, or custom solutions) — understanding how to measure and improve AI product quality.
• Familiarity with Databricks / Delta Lake or Snowflake — experience working with modern data platforms.
• Experience working at product-driven tech companies or AI startups where you needed to build and iterate quickly.
• Understanding of product team metrics (DAU, retention, unit economics) and the ability to connect technical decisions to product impact.
   

Preferred tech stack:

Core:

• Languages: Python (primary), SQL
• LLM APIs: Claude API (Anthropic), OpenAI API
• Databases: PostgreSQL, ClickHouse
• Infrastructure: Docker, Git, FastAPI, Pydantic, pytest, asyncio

Nice to have:

• Languages: TypeScript/JavaScript, Bash
• LLM APIs: Google Gemini API
• Orchestration & Automation: Windmill, Dagster, Prefect, Airflow, Temporal
• RAG & Embeddings: LangChain, LlamaIndex, ChromaDB, Pinecone, Weaviate, pgvector,FAISS
• Eval & Observability: LangSmith, PromptFoo, Weights & Biases, Arize AI
• Databases: Redis, MongoDB
• Data Platforms: Databricks, Delta Lake, Snowflake, BigQuery
• Infrastructure: Kubernetes, AWS (Lambda, SQS, S3), GCP
• CI/CD & DevOps: GitLab CI, GitHub Actions, Terraform

Welcome to Drawer.AI!

- What we do: AI-driven workflows that let estimators pull quantities and costs from complex PDF drawing sets.  
- Stage: Seed-funded, revenue-generating, aiming for a Series A in 2026.  
- Why join now: Real customers are pushing our roadmap faster than our current front-end team can build.

We are looking for an AI/ML Engineer who will work at the intersection of LLMs, classical algorithms, and applied machine learning, focusing on designing and improving intelligent systems that solve complex real-world problems.

Key Responsibilities:

• Research and solve complex AI challenges.
• Improve existing algorithms using ML and LLMs.
• Design and build new AI solutions.
• Collaborate with the engineering team to bring ideas into production.
   

Requirements:

• 4+ years of experience in AI/ML.
• Commercial experience with Computer Vision and classical Machine Learning (at least 1 year).
• Strong knowledge of Machine Learning and Deep Learning.
• Experience with PyTorch, TensorFlow, or similar.
• Strong algorithmic and problem-solving skills.
• Experience deploying ML models to production.
• Experience with LLMs and modern AI frameworks.

Nice to have:

• AWS experience.
• LangChain.
• FastAPI or Django.
• Experience with PDF/SVG processing.
• Experience with Graph Neural Networks (GNNs).
• AI research, Kaggle, hackathons, or publications.

Join our stellar team at Drawer.AI, where excellence meets opportunity! Experience the exceptional; enjoy a competitive salary and career advancement and the outstanding work environment we take pride in. Elevate your professional journey with us – because we believe in creating success together. Build a better future with us!

Data is at the core of every product decision we make. In this role, you’ll help shape and scale the data ecosystem behind products used by millions of users across international markets. You’ll work on high-volume data platforms, build reliable pipelines, and create the foundation that enables analytics, business intelligence, and data science teams to make fast, data-driven decisions. This is an opportunity to solve complex engineering challenges, optimize large-scale data systems, and directly influence the way data powers our products and business growth

In this role, you will
 

• Design and develop scalable, cloud-native data architectures in BigQuery, ensuring optimal performance, maintainability, and cost efficiency
• Build, automate, and maintain ETL/ELT pipelines using modern data stack tools and custom solutions
• Create and optimize business-critical data marts, aggregations, and analytical datasets for reporting, dashboarding, and product insights
• Implement data quality frameworks, monitoring systems, logging, and alerting mechanisms to ensure data reliability
• Continuously improve performance, scalability, and cost efficiency of production data infrastructure
• Partner closely with Data Science teams to build reliable data services, infrastructure, and pipelines supporting machine learning and advanced analytics initiatives
• Collaborate with product, analytics, and engineering teams to define and deliver scalable data solutions across the organization
  
  It’s all about you
   
• 3+ years of experience as a Data Engineer working with large-scale data platforms and high-volume datasets
• Strong expertise in data modeling, data warehousing concepts, and analytical data architecture design
• Proven experience designing and developing complex ETL/ELT workflows following BI and data engineering best practices
• Hands-on experience with BigQuery, including partitioning, clustering, query optimization, and cost management
• Strong SQL skills with the ability to write and optimize complex analytical queries using Google SQL
• Proficiency in Python and data processing libraries such as Pandas and PySpark
• Experience working with ClickHouse, including architecture understanding, performance optimization, and migration approaches
• Solid knowledge of Google Cloud Platform services, including Cloud Storage, Pub/Sub, DataForm, IAM, and service accounts
• Experience with Git, CI/CD practices, automated deployments, and environment management for data workflows
• Strong understanding of monitoring, logging, data validation, and production-grade data quality practices
• Excellent analytical thinking, problem-solving skills, and ability to work independently in a fast-paced environment
• Strong communication and collaboration skills with both technical and non-technical stakeholders
• Understanding of product metrics, experimentation frameworks, and data-driven decision making
• 2+ years of previous Software Engineering experience
• Experience optimizing storage and compute resources to improve infrastructure efficiency and reduce operational costs
• Experience integrating data platforms with BI tools such as Tableau or Looker
  
  Would be a plus
   
• Familiarity with supporting machine learning workflows and data infrastructure for Data Science teams
• Experience working with AI-powered development tools, including Claude Code, Claude Agents, or similar AI-assisted engineering solutions
  
  What we offer
• Care and support: 
• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Maternity Recovery Support Allowance
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
   
• Comfortable working environment:
• Work from our Kyiv hub or remotely with a flexible schedule 
• Modern equipment or depreciation of your own tools
  
  Investment in your future:
• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
   
• Hiring process
• Intro call
• Technical interview
• Final  interview
• Reference check
• Offer
   

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 over 6,000 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 6,000 ARRISERS! See a job that excites you? Apply now, and our friendly recruitment team will connect with you soon. Your journey starts here!   

Requirements: 

• Requires 4 or more years of related experience, maintenance, and administration of PostgreSQL databases.   
• Previous SQL Server and/or Oracle database administration experience is a plus.  
• Strong writing and verbal communication skills.   
• Displays excellent collaborative skills with cross-functional teams.  

Responsibilities:  

• The DBA should have knowledge of some industry standard PostgreSQL databases including creation and implementation of fully functional PostgreSQL database clusters (both in the cloud AWS RDS and on-premises), ability to maintain multiple development, QA, and production PostgreSQL environments with experience in performance tuning.  
• Review existing configurations and installations and provide design decisions for improvements to platform environments.  
• Assist in planning and performing PostgreSQL database upgrades and migrations.  
• Perform production level support and be part of the on call rotation when required.  
• This position will be responsible for supporting new and existing PostgreSQL database systems, both internally and future Cloud managed instances and will contribute in defining best practices in database administration, and introduce innovation with automation.  
• Proficient with the Linux operating systems - Ubuntu, RHEL.  
• Assist in implementing long-term strategic goals for database development in conjunction with end users, managers, clients, and other stakeholders.   
• Perform debugging, tuning, and performance enhancement as well as automation of operational and continuous integration aspect of the PostgreSQL platform.  
• Independently analyzes, solves, and corrects issues in real time, providing problem resolution end-to-end.  

Company offers: 

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

Impressit is looking for a Senior / Lead AI Engineer (LLM) to join a cross-functional product team working on an AI-powered healthcare billing platform. The product helps automate the medical invoice coding process by analyzing unstructured clinical data, recommending billing codes using locally hosted Large Language Models, and integrating validated results into the client's existing management systems. This is a great opportunity to build a meaningful AI solution with real-world impact while taking ownership of technical decisions and working directly with an international client.

What do we expect?
— 4+ years of commercial experience as an AI Engineer, ML Engineer, or Software Engineer working with LLM-based solutions
— Strong hands-on experience with Python for building data ingestion, processing, and AI pipelines
— Experience building supporting frontend applications with React
— Solid experience with Large Language Models, including researching, evaluating, benchmarking, and selecting the most suitable models for production use
— Hands-on experience with local/self-hosted LLMs and inference frameworks such as Ollama, vLLM, llama.cpp, LM Studio, or similar technologies
— Strong understanding of prompt engineering, model evaluation, and optimization techniques for accuracy, latency, and resource utilization
— Experience integrating AI solutions through REST APIs and Model Context Protocol (MCP)
— Solid experience with SQL and/or NoSQL databases
— Proven ability to write automated tests and maintain high code quality
— Good understanding of CI/CD practices
— Excellent problem-solving, analytical, and debugging skills
— Strong Computer Science fundamentals (algorithms, data structures, OOP, software architecture)
— Excellent communication skills with previous experience working directly with clients and translating business needs into technical solutions
— Ability to work independently, make architectural decisions, and take full ownership of deliverables
— Upper-Intermediate or higher level of English

What will you do?
— Build AI-powered data ingestion pipelines that collect, process, and structure unstructured medical data for analysis
— Research, evaluate, benchmark, and justify the selection of local LLMs for healthcare billing use cases
— Design and develop scalable LLM-driven analysis workflows running entirely on local infrastructure to ensure sensitive medical data remains secure
— Build supporting React interfaces for monitoring data ingestion, reviewing AI-generated recommendations, and visualizing analysis results
— Integrate AI services with existing healthcare management systems through REST APIs and MCP
— Collaborate directly with the client to gather requirements, validate AI outputs, and continuously improve solution quality
— Ensure reliability, reproducibility, performance, and auditability of AI-driven workflows
— Document model evaluations, benchmarking results, and architectural decisions
— Contribute to the overall system architecture and drive technical direction of the project

As a plus:
— Experience deploying and optimizing local LLMs on GPU infrastructure
— Experience with Gemma, MedGemma, Llama, Mistral, or other open-weight LLMs
— Experience with vector databases and Retrieval-Augmented Generation (RAG) architectures
— Previous experience in healthcare, healthtech, fintech, or other regulated industries handling sensitive data
— Experience building secure AI systems where data privacy is a key requirement
— Passion for clean code, experimentation, and delivering high-quality AI solutions

Job Description

• Proven ability to elicit and document business rules embedded in legacy applications.
• Experience analysing incident/ticket history to establish operational baselines and pain points.
• Skilled at facilitating functional discovery workshops with mixed business and technical stakeholders.
• Able to define and baseline SLAs, KPIs, and success metrics for a support engagement.
• Comfortable using AI tooling to accelerate analysis while verifying outputs against source data.
• Work on legacy or mission-critical systems.

Job Responsibilities

• Lead functional discovery workshops to map what the mainframe applications do from a business perspective.
• Document critical business rules, batch dependencies, and functional pain points tied to legacy code.
• Analyse incident and backlog history, using AI-assisted clustering where useful, to establish a current-state support baseline.
• Define SLA, KPI, and success-metric baselines for the proposed maintenance model.
• Triage and prioritize candidate use cases for the maintenance pilot by business impact.

• Consolidate current-state findings into the assessment deliverables alongside the architect.

   

Department/Project Description

The engagement supports a maintenance assessment and advisory for a legacy mainframe environment built primarily on COBOL, running mission-critical batch and online workloads. The objective is to establish a fact-based understanding of the current application estate and its support model, and to define a scoped, low risk maintenance pilot as the basis for a potential longer term managed services engagement.

The initial advisory phase is an assessment structured in three stages: a scope-alignment workshop to agree services, ownership, and boundaries; a current-state assessment of the code estate, data, batch/online flows, operations, and ticket history to establish baselines and pain points; and a pilot-identification stage to prioritize candidate use cases and define objectives and success metrics. The phase is diagnostic in nature — it covers evaluation, characterization, and effort estimation only, with no code remediation or production changes performed during assessment. Success depends heavily on timely access to client subject-matter experts and to the target environment.

About

We’re looking for a senior ML/AI Engineer to build Stream, a new conversational interface. As an ML/AI engineer, you will architect, build, and deploy a new interface which spans voice, audio, and agentic control. This role is perfect for someone who cares deeply about real-world ML deployment and low-latency voice interactions.

Responsibilities

• Design and improve user-facing experiences, including voice, audio, and agentic control.
• Develop, evaluate, and deploy models spanning cloud models to resource-constrained on-device settings
• Optimize inference pipelines for latency, reliability, and concurrency

• Work closely with other ML/AI engineers, infrastructure engineers, designers, and cofounders on existing and future products

   

Qualifications

• 4+ years in artificial intelligence or machine learning applications
• Experience shipping ML-based products is required
• Experience in large-language models is required
• Experience in audio / voice ML is a major plus
• Comfortable writing production-grade software
• Passion for human-computer interaction