Jobs Data & Analytics

Join the Fintech Core team building a white-label modular platform that powers digital banks, payment systems, and fintech products across Europe, North America, and MENA regions
 

As a System/Business Analyst on the Fintech Core project, you will define technical architecture, system specifications, and integration designs for a white-label modular fintech platform that enables rapid creation of digital banking and payment products.
 

The platform provides a complete technology stack including general ledger, middleware, mobile/web applications, and extensive third-party integrations for KYC, payments, card issuance, and compliance. You'll work closely with Business Analysts, Solution Architects, and Engineering teams to translate business requirements into detailed technical specifications, design robust system architectures, and ensure seamless integration across microservices while maintaining regulatory compliance and enterprise-grade security.

This role offers hands-on experience designing financial systems at scale, with exposure to payment processing, card networks, digital wallets, cross-border transactions, and regulatory compliance frameworks serving multiple fintech implementations globally.

Responsibilities

• Analyze and document system requirements for platform modules including payments, card issuance, digital wallets, accounts, ledger management, and compliance systems
• Translate business requirements into detailed technical specifications, API contracts, database schemas, and integration architectures
• Design data models, entity relationships, and data flow diagrams for transactional and financial systems with appropriate normalization and performance considerations
• Define integration patterns and technical specifications for connecting with payment processors, KYC/AML providers, card issuers, and open banking platforms
• Document system behaviors using sequence diagrams, component diagrams, deployment architectures, and API specifications (OpenAPI/Swagger)
• Collaborate with Solution Architects to ensure system designs align with microservices architecture patterns, scalability requirements, and technical best practices
• Define non-functional requirements including performance benchmarks, security controls, data retention policies, and audit trail specifications
• Facilitate technical design workshops with Engineering teams to review system specifications, validate implementation approaches, and identify technical risks
• Create comprehensive system documentation in Confluence covering technical flows, component interactions, message formats, and infrastructure requirements
• Support QA teams by defining system integration test scenarios, technical acceptance criteria, and end-to-end testing strategies
• Analyze system performance bottlenecks and propose optimization solutions for high-throughput financial transaction processing
• Ensure all technical specifications maintain regulatory compliance requirements (PCI DSS, GDPR, PSD2) and financial data security standards
• Maintain traceability between business requirements, system specifications, technical implementations, and test cases
• Participate in sprint planning, technical refinement sessions, and architecture review boards to ensure alignment between product vision and technical execution

Professional skills are required:
 

• 3+ years of experience as System Analyst, Technical Analyst, or similar role in fintech or banking domains
• Strong understanding of financial systems architecture including general ledgers, payment processing, and account management
• Experience with microservices architecture, API design, and distributed systems
• Proficiency in creating technical documentation: system design documents, data flow diagrams, sequence diagrams, ER diagrams
• Knowledge of database design and data modeling for transactional systems
• Understanding of integration patterns, message queues, and event-driven architectures
• Familiarity with payment systems standards (ISO 20022, SWIFT, SEPA, card schemes)
• Experience with API specifications (REST, OpenAPI/Swagger, webhooks)
• Understanding of cloud infrastructure and deployment architectures (AWS, Azure, GCP)
• Knowledge of authentication and authorization mechanisms (OAuth, JWT, API keys)

Technical Skills

• 3+ years of experience as System Analyst, Technical Analyst, or similar role in fintech or banking domains
• Strong understanding of financial systems architecture including general ledgers, payment processing, and account management
• Experience with microservices architecture, API design, and distributed systems
• Proficiency in creating technical documentation: system design documents, data flow diagrams, sequence diagrams, ER diagrams
• Knowledge of database design and data modeling for transactional systems
• Understanding of integration patterns, message queues, and event-driven architectures
• Familiarity with payment systems standards (ISO 20022, SWIFT, SEPA, card schemes)
• Experience with API specifications (REST, OpenAPI/Swagger, webhooks)
• Understanding of cloud infrastructure and deployment architectures (AWS, Azure, GCP)

• Knowledge of authentication and authorization mechanisms (OAuth, JWT, API keys)

   

Domain Knowledge

• Understanding of core banking concepts: accounts, transactions, balances, ledgers, reconciliation
• Knowledge of payment flows: domestic/international transfers, card payments, digital wallets
• Familiarity with KYC/AML processes and regulatory compliance requirements
• Understanding of financial data security standards (PCI DSS, GDPR)
• Experience with fintech product features: onboarding, card issuing, FX, acquiring

Analytical & Documentation Skills

• Excellent analytical thinking and problem-solving abilities
• Strong technical writing skills with attention to detail
• Ability to translate complex business requirements into technical specifications
• Experience with UML, BPMN, or similar modeling notations
• Proficiency with documentation tools (Confluence, Notion, or similar)
• Experience with requirements management and traceability

Skills will be a plus:

• Experience with white-label or multi-tenant system architectures
• Knowledge of blockchain and cryptocurrency integrations
• Familiarity with regulatory frameworks (PSD2, Open Banking, MiFID)
• Experience with performance testing and system optimization
• Understanding of DevOps practices and CI/CD pipelines
• Previous experience with modular platform architecture
• Knowledge of financial compliance and audit requirements
• Experience with data migration and system integration projects
  
  We offer
• 20 billable days off during the first year of cooperation, 25 billable days off from the second year
• Fair and competitive compensation
• Friendly team and enjoyable working environment
• Clearly established business processes
• Regular company updates and Q&A sessions with top management
• Flexible working schedule
• Remote work
• Ability to transfer unused vacation to the next year

We are seeking an AI-Native Business Analyst who integrates modern Generative AI and LLM workflows into their everyday analytical process.

In this role, you will bridge the gap between business needs and technical execution by leveraging AI tools to accelerate requirements engineering, system analysis, API exploration, and solution validation.

You will work closely with clients, stakeholders, and engineering teams to understand complex business problems, analyze existing systems, and help deliver practical technical solutions faster and more efficiently.

The ideal candidate combines strong business analysis skills with a solid technical background, understands modern software systems, and uses AI tools as part of their daily workflow to improve the speed and quality of analysis.

Key Responsibilities

• Conduct discovery sessions with clients and stakeholders to understand business needs, define requirements, and align project objectives.
• Analyze existing systems, codebases, APIs, documentation, and data using modern AI tools to quickly identify dependencies, limitations, and potential solutions.
• Translate business requirements into clear functional specifications, user stories, acceptance criteria, and actionable development tasks.
• Explore and validate technical solutions by testing REST APIs, reviewing system behavior, and creating lightweight proof-of-concepts when needed.
• Investigate system issues, perform root-cause analysis, and collaborate with engineering teams to define effective solutions.
• Evaluate the impact of proposed changes across complex, multi-component applications, identifying dependencies, risks, and integration considerations.
• Continuously improve analysis workflows by adopting new AI tools and techniques that increase speed, accuracy, and quality of delivery.

Qualifications

• Strong practical experience using AI tools (Claude, ChatGPT, Cursor, coding assistants) as part of your daily workflow for technical analysis, research, documentation, and problem-solving, with the ability to critically evaluate and validate AI-generated outputs.
• Proven experience communicating directly with clients and stakeholders, translating business objectives into clear functional and technical requirements.
• Solid understanding of REST APIs, ability to understand how websites work and main system parts (BE/FE/DB/Message brokers), ability to investigate code and onboard independently, do selfonboarding, ability to quickly create prototypes. Experience with Postman, OpenAPI/Swagger, or similar tools.
• Strong analytical and problem-solving skills, with a proactive approach to ambiguous tasks, a sense of ownership, and the ability to quickly understand complex business domains and technical systems.

• Excellent communication skills and the ability to collaborate effectively with both business stakeholders and engineering teams.

   

Nice to have: Background as a Technical BA, Software Engineer, experience in FinTech.

About Orgmeter

OrgMeter is deal-flow, tracking, and reporting software that helps merchant cash advance businesses streamline operations, manage workflows, and scale efficiently. We build reliable, high-performance solutions that support mission-critical business processes.

Mandatory requirement: The candidate must be legally able to travel abroad for occasional business trips. While such trips are infrequent, they may be required depending on project needs.

The candidate must have at least 2 year of hands-on experience with Terrasoft / Creatio CRM and proven experience in the banking domain.
 

Responsibilities:

• Conduct client interviews to identify and gather business requirements.
• Perform pre-project research, analyze and formalize business needs.
• Develop and align project documentation with clients, including Implementation Concepts, Technical Designs, Specifications, User Stories, Test Cases, Use Cases, etc.
• Set tasks for the development team and ensure the delivered functionality meets technical and client requirements.
• Conduct acceptance and regression testing.
• Train end users on system functionality and usage.
• Provide technical support and client consulting during project go-live and initial operation stages.
• Model and describe business processes using BPMN notation and create UML diagrams.
• Actively participate in sprint planning and maintain the project backlog.
• Collaborate with the technical lead to define the architecture of the project solution.
• Prepare and deliver demos of implemented functionality.

Requirements:

• Experience with Creatio (BPM’online) as an administrator or advanced user.
• 3+ year of experience in business/system analysis (preferably in an IT integrator or banking environment).
• Hands-on experience with IT system implementation in banking or financial institutions (understanding of banking business processes is essential).
• Experience in requirements elicitation (external client-facing experience is a plus).
• Experience in implementing or enhancing IT systems (preferably for external clients).
• Strong documentation skills (BRD, FSD, Implementation Concepts, Technical Designs, Specifications, User Stories, Test Cases, Use Cases).
• Knowledge of relational databases and SQL.
• Proficiency in specialized tools (MS Visio, MS Project, Jira, Confluence, etc.).
• Understanding of software development methodologies and Agile/Scrum principles.
• Experience working with data formats such as JSON, XML, and APIs (SOAP/REST).
• Systems thinking and skills in functional decomposition.
• Experience in manual testing of complex software systems.
• Direct collaboration with development teams (task setting, monitoring, testing).
• Business process modeling using BPMN notation.

Would be a plus:

• Background in automating business processes in banking, finance, or telecommunications.
• Creatio (BPM’online) certifications.
• Familiarity with UX tools (Axure, Balsamiq, MS Visio, Sketch, InVision, etc.).
• Experience with CRM systems (Siebel, Salesforce, MS Dynamics, etc.).
• Skills in web services testing tools (Postman, SoapUI, Fiddler).
• Basic understanding of programming languages (JS, C#, HTML, CSS).

• Experience with version control systems (e.g., SVN, GIT).

   

  We offer:

• Competitive compensation.
• Full equipment for remote work.
• Full remote setup, with the option to work from our Kyiv office (Business Center Europe Plaza, near the metro).
• Corporate English classes via Zoom (fully covered by the company).
• Paid time off, vacation, and 100% paid sick days.
• Additional New Year holidays.
• Opportunities to impact the direction of projects and product growth.
• Interesting and large-scale projects.
• Dynamic, professional team.
• Supportive and responsive management.

We are looking for a Senior AI/ML Engineer experienced in multimodal AI pipelines, LLM evaluation frameworks, agent orchestration, and scalable Python backend systems on AWS.

A Korean company is building and hardening an AI verification and compliance layer for AIGC/UGC financial content.

The system includes:

• four evaluation/verification models
• an automated compliance rule engine
• a Trust & Safety moderation pipeline

The core architecture processes video-based content through a multi-stage pipeline:

STT → OCR → image/video analysis → financial rules engine → LLM-based decision layer

Final output decision types:

• Auto-Block
• Auto-Pass
• Human Review

This role requires strong production engineering skills combined with hands-on experience in multimodal LLM evaluation systems.

Required Skills & Experience

• Multimodal LLM evaluation pipeline design
  (LLM-as-a-judge, rubric-based scoring, prompt/few-shot optimization, schema design, agent orchestration)
• Model evaluation engineering
  (golden dataset creation, metric definition: precision/recall/human agreement, A/B testing, benchmarking automation)
• AI serving & inference optimization
  (AWS Bedrock integration, vLLM / GPU inference, latency optimization, cost-aware design, fallback strategies)
• Strong Python backend engineering (~7–10 years)
  (async systems, queues, microservices, service-oriented architecture)
• Trust & Safety / compliance systems
  (rule engines: keyword + context IF-THEN logic, moderation workflows, HITL queues, severity-based escalation)

Nice to Have

• Experience fine-tuning or improving LLM / video understanding models
• Background in content moderation or compliance systems
• Experience with Korean language content processing
  (STT, OCR optimization, NSFW detection pipelines)

Tech Stack

Languages / APIs: Python (FastAPI), React (TypeScript)
LLM / Multimodal: AWS Bedrock, VLMs (e.g. Qwen2.5-Omni), vLLM
Agent frameworks: LangGraph, CrewAI, Google ADK, LangChain
Evaluation: LLM-as-judge, rubric scoring, DeepEval-style eval harnesses
Cloud / Infra: AWS Bedrock, SageMaker, RDS (PostgreSQL), S3, EKS
Observability: Langfuse, prompt testing & tracing tools
Data platform: Databricks
Media processing: Whisper, OCR pipelines, image moderation tools (e.g. AWS Rekognition)

Role Summary

The Inventory & Demand Planning team is hiring a Data Analyst to scale a high-impact analytics roadmap across inventory, in-stock, supply, and forecasting. This role builds and maintains the data foundation that powers decision-making by translating business rules into reliable datasets, automating recurring KPI outputs, and supporting the ABC/XYZ + lifecycle governance framework so leaders and merchants operate from consistent, auditable numbers with minimal manual effort.

This is a hands-on analytics engineering role centered on data pipelines, automation, and metric integrity to enable planning decisions and streamline reporting/governance outputs. The analyst will partner closely with Inventory Planning leadership to implement definitions, validations, and scalable reporting.

What You’ll Work On

· Build and maintain curated BigQuery tables/views that standardize inventory, demand, availability, open POs/in-transit, backorders, and KPI feeds.

· Write clean, performant SQL that powers weekly/monthly reporting and executive dashboards.

· Automate refreshes and reduce manual effort through validations, reconciliations, exception flags, and clear documentation.

· Support ABC/XYZ roadmap execution by producing required inputs/outputs, applying multiplier logic, and keeping the classification pipeline stable and easy to audit.

· Support forecasting improvements using Python (data prep, feature engineering, back-testing, evaluation) and help operationalize outputs into cadence reporting.

· Expand datasets with additional signals where available (promo flags/types, merchandising tags, launch/NPA indicators, traffic/CVR signals, marketing calendar attributes).

· Partner with Merchandising, Marketing Ops, Finance, and BI/IT to align definitions, improve data quality, and drive adoption of standardized metrics.

How Success Will Be Measured

· KPI tables and dashboard feeds refresh reliably with minimal manual intervention.

· Faster turnaround on leadership and merchant requests with consistent, traceable metric logic.

· ABC/XYZ outputs are accurate, on-time, and easy to maintain.

· Forecast inputs improve through better data structure and added business/marketing signals.

· Documentation and change control keep datasets stable as business rules evolve.

Required Qualifications

· 3–5 years in analytics/data roles (retail/e-commerce strongly preferred).

· Strong SQL and hands-on experience with BigQuery (or similar cloud warehouse).

· Working Python proficiency for analysis/automation (pandas/NumPy).

· Experience supporting BI dashboards and recurring reporting.

· Demonstrated ability to validate and reconcile metrics across sources, troubleshoot discrepancies, and document logic clearly.

· Strong problem-solving, attention to detail, and clear communication with business stakeholders.

Preferred Qualifications

· Familiarity with ML/forecasting workflows (feature engineering, evaluation, operationalizing outputs) to support forecasting and driver-based models in partnership with the team.

· Familiarity with Looker/LookML (or similar semantic layers).

· Exposure to dbt and/or orchestration tools (Airflow/Composer or equivalents).

· Comfort with inventory/planning concepts (WOS, aging, availability, lost demand, backorders) and classification/ranking approaches (ABC/XYZ, PFEP).

· Version control (Git) and basic engineering hygiene (testing, documentation, change logs).

Tools / Environment

BigQuery, SQL, Python, Looker, Jira/Confluence (or equivalent), Google Cloud tooling as applicable.

👋 Hey! We are Kultprosvet — a team of passionate web and mobile developers who build meaningful products with care.
We’re expanding and looking for an experienced Senior Computer Vision Engineer to join our team and take ownership of the AI/ML direction in one of our key products.

📸 About the Project:

Our platform empowers photographers by combining beautiful online galleries, smart automation, and eCommerce tools.
Through the power of AI and machine learning, we automate image recognition, enhance visuals, and unlock new business potential for creatives worldwide.

You’ll be working on the core AI layer of a high-impact real-world product used by professional photographers and their clients.

✅ Requirements:

• Source Code Management
• Solid understanding of data structures, data science techniques, and algorithms
• Experience with Python and data processing tools (SciPy, NumPy, Pandas, etc.)
• Experience with ML model creation in PyTorch
• Experience with the development of APIs for ML models
• Upper-Intermediate English speaking skills

➕ Nice to Have:

• Experience with modern AI techniques such as transformers and contrastive pretraining

You will:

• Creating AI/ML-based algorithms for computer vision tasks
• Building and maintaining the infrastructure for data and model management
• Organizing ML model training

• Integrating AI/ML-based services with the project

   

🎁 What We Offer:

🏡 Flexible work setup — remote or from our office in Dnipro.
💰 Senior-level compensation, paid vacations, and sick leave.
🩺 Medical insurance and full accounting support.
📚 Budget for courses, conferences, and professional development.
🧠 Coverage for psychotherapy sessions — your well-being matters.

💡 If you’re ready to take full ownership of CV/ML in a fast-moving, high-impact product — let’s talk! 🚀

About us:
Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have recently achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team consists of 250 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team.
 

Our mission:
Become a stepping stone on our customers’ journeys of self-improvement.
 

Our values:

• Deliver what matters
• Respect and support others
• Initiate and own
• Voiceopenly
• Execute with quality
   

If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com.
 

About project

FitMe is a fitness app created for people who want to stay active without long, repetitive workouts. It offers short, easy-to-follow routines that can be done at home with no equipment. FitMe is perfect for busy people who want to maintain their health, boost energy levels, and feel good every day — without going to the gym or spending hours on exercise.
 

What you will do:

• Stakeholder support: ad-hoc validation of figures, investigation of discrepancies between dashboards, ensuring availability of the BI platform.
• Development and support of ETL/ELT pipelines for analytical reports (cohort revenue, LTV, retention, KPI by creatives, post-purchase analytics).
• Support for attribution models (Web↔Mobile mapping, multi-locale cost-cohort resolve, last-click vs raw events).
• Integrations with external sources: Meta Marketing API, AppsFlyer, AppMetrica, Stripe, Tableau Server (TSC), Birch.
• Data quality assurance: schema/freshness/volume checks, broken-snapshot detection, anti-bot-traffic filtering.
• Performance optimization of queries and procedures in Redshift.
• Collaboration with BI Team, Product / UA / Billing analysts.
   

Key qualifications:

• 1-2 years of commercial experience in data engineering / analytics engineering / BI development.
• Experience with data warehouse, data lake and data lakehouse concepts.
• Proven experience in designing, implementing and supporting ETL/ELT pipelines.
• Experience with AWS, Amazon Redshift, Apache Airflow.
• Advanced SQL, hands-on experience in designing production-level Python code.
• Willingness to deal with business logic (subscription, monetization, attribution) — with team support.
   

Would be a plus:

• Experience with Infrastructure as Code (Terraform).
• Experience with dbt, Apache Spark, Apache Iceberg
• Experience with UA-attribution stack (AppsFlyer, AppMetrica, Adjust, SKAN, GA4) and UA cost APIs (Meta, Google Ads, TikTok, AppLovin).
   

Employee Benefits:

• Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs.
• Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy and autonomous hub) and 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace.
• Free Office Lunches: We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday.
• Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year.
• 100% Sick Leave Compensation.
• Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs.
• Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools.
• Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses.
• Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart.
• Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.

We're looking for a senior backend engineer to own their new customer-facing API and AI services from architecture through production.

This is a high-autonomy role. You'll work directly with the founders on architectural decisions and own implementation end to end. Greenfield build, not maintenance.

What you'll own

• API development - lead a new external API end to end: OpenAPI design, framework and hosting decisions, and optimized SQL powering dynamic filtering.
• AI microservices - build and deploy agentic services that turn natural-language queries into deterministic, auditable filters. Customer-scoped auth, evaluation, and deterministic validation are core, not afterthoughts.
• Workflow builder - help design and build an n8n-style automation product: schema, execution model, scheduling, retries, persistence, and integrations.
•  

What we're looking for

• Strong backend experience building production systems from scratch
• Python or TypeScript/Node.js, plus solid SQL and Postgres
• Designing APIs, data models, and distributed jobs with auth, idempotency, retries, and observability
• Practical experience with LLM-backed systems - agentic frameworks, RAG, structured outputs, evaluations, and deterministic validation
• Comfortable using AI tooling (Claude, Codex) to ship maintainable, modular systems without sacrificing quality
• Deployed production systems on cloud (GCP preferred; AWS/Azure fine)
• Clear product judgment and communication in ambiguous, fast-moving work
•  

Nice to have

• GCP services (Cloud Run), Supabase, Vercel, Clerk, Stripe
• Search, entity resolution, workflow engines, or complex data products
• Open-source LLMs

• React/Next.js to ship customer-facing flows (this role is backend-first, not front-end)

   

How we work

Full-time, long-term engagement. Remote, with meaningful daily overlap with US hours. AI-first team; daily standups early, lighter check-ins once the rhythm is set. Strong judgment and ownership matter more than knowing every tool in the stack.

Stack: Python / TypeScript · Postgres (Supabase) · GCP (Cloud Run) · LLM / agentic services · MCP

We're looking for an Data Specialist to join our growing team.
In this role, you'll build advanced reporting systems, improve internal processes, and develop smart business solutions using Google Sheets, Google Apps Script, and automation tools.

     Key Responsibilities

• Build and maintain advanced reports and dashboards using Google Sheets and Excel.
•  Analyze business needs and create scalable reporting solutions.
• Optimize workflows and automate repetitive processes.

• Collaborate with different departments to improve operational efficiency.

   

  Requirements

   

•  2+ years of experience building advanced reports using Google Sheets and/or Excel.
• Strong knowledge of advanced formulas, dashboards, and reporting logic.

• Experience with Google Apps Script is required.

   

  Advantages:

  • Experience with Java or another programming language.
  • Hands-on experience with automation tools (Make, n8n, Zapier, etc.).
  • Familiarity with AI tools such as ChatGPT, Claude, Gemini, or similar.
  • Strong English communication skills.
  •  Self-driven, proactive, and able to work independently.
  • Previous experience in Affiliate Marketing / iGaming / Performance Marketing- Significant advantage.

About the Role

We are looking for a mature Product / Data Analyst who will become the absolute owner of our data tracking and analytics ecosystem.

This is a "Greenfield" opportunity to build analytics layer for Big Data B2B SaaS product  while extracting deep mathematical insights from raw Big Data to optimize our retargeting algorithms.

Responsibilities

• Build BI Infrastructure from Scratch: Evaluate and select the optimal BI tool (Looker Studio, Grafana, Apache Superset, or Metabase) over our ClickHouse database to eliminate manual report-building.
• Behavioral & Touchpoint Analysis: Model Path to Conversion, optimize Frequency Caps, and run Recency & Frequency analysis to find "golden hours" and maximize conversion probability.
• Incrementality & Attribution: Mathematically prove incremental GGR uplift and measure the indirect impact of ad contacts (post-view effects) through control groups.
• Data Quality & Logging: Control metadata collection integrity (IP, User-Agent, Device ID) and formulate requirements for logging new data points.
• Big Data & Query Optimization: Independently write and optimize complex SQL queries in ClickHouse to process billions of raw events without relying on the engineering team.
• Product Insights: Utilize Python for cohort analysis, target audience segmentation in a Cookieless environment, and pattern detection for anti-fraud.

Who We’re Looking For

We’re looking for a mature, self-driven analyst who loves data engineering challenges, possesses strong mathematical logic, and can translate raw numbers into business impact.

Must-have:

• 3+ years of commercial experience in data/product analytics working with Big Data.
• Strong domain expertise: Experience in high-load industries such as AdTech, RTB, MarTech, or iGaming.
• Advanced SQL (ClickHouse): Deep understanding of column-oriented databases and raw log processing.
• Python Proficiency: Strong practical experience with Pandas and NumPy for complex cohort and statistical analysis.
• Data Visualization Mastery: Confident experience designing and connecting BI dashboards completely from scratch.
• English: Intermediate or higher (comfortable reading technical documentation and product contexts).
• Ukrainian/Russian: Fluent (for internal team communication).

Nice to have:

• Academic background in Mathematics, Statistics, Data Analysis, or Probability Theory.
• Experience in anti-fraud traffic analytics.
• Understanding of subscription models and LTV forecasting.

How We Work

• Direct reporting line to the Product Owner / CEO.
• Focus on automated, long-term infrastructure over routine daily manual exports.
• Full autonomy in selecting data-analysis tools.
• Clear boundaries: The analyst does not manage ad campaigns manually and does not act as a database administrator (DBA).

What We Offer

• Full ownership over the company's data architecture and reporting standards.
• A highly complex, high-load product dealing with billions of events.
• Competitive compensation.
• 100% remote format with international market exposure.

Role Summary

The Product / Data Analyst is responsible for transforming raw ClickHouse logs into a transparent, automated BI ecosystem while delivering mathematically sound insights to boost the platform's retargeting efficiency.

Mirko Solutions is an international IT company specializing in web and mobile development for clients across the US, Canada, EU, and Australia. We are growing rapidly and are looking for a Middle\Senior AI Engineer to join our team and drive complex, high-impact projects.

Job Requirements:

• 3+ years of experience deploying machine learning models (classical ML and/or LLMs) in cloud environments (AWS/GCP/Azure) using containers and Kubernetes
• Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, Feast, or equivalent
• Proven experience building robust data/feature pipelines and implementing monitoring for model drift and performance
• Strong Software Engineering fundamentals: version control, automated testing, CI/CD, security, and cost-aware development
• Excellent collaboration and communication skills in  English 
• Ownership mindset, curiosity, and a bias for action in a fast-paced environment

Responsibilities:

• Design, implement, and maintain end-to-end ML pipelines for both classical ML and LLM-based solutions
• Deploy and manage models in cloud environments (AWS / GCP / Azure) using containers and Kubernetes
• Apply MLOps best practices for reproducibility, automation, and monitoring
• Build reliable data/feature pipelines and implement real-time monitoring for model drift, latency, and performance tracking
• Actively contribute to engineering excellence through CI/CD, testing, security, and cost optimization

Nice to have:

• Experience with deep learning frameworks such as PyTorch or TensorFlow
• Understanding of distributed systems (Spark, Ray)
• Experience working with feature stores and data governance

We provide the following for our employees:

• Competitive salary according to qualification
• Comfortable working environment
• Experienced colleagues
• Opportunity to work with interesting projects,
• Regular performance reviews
• Friendly atmosphere, care for the comfort of professionals

We are a Ukrainian DefenseTech company developing cutting-edge solutions for Unmanned Ground Vehicles (UGVs). Our team brings together experts in Robotics and AI, including ex-Google engineers and professionals with international DeepTech experience. We tackle complex engineering challenges in environments where any failure comes at a high cost. We are looking for an engineer to develop a new product currently in the R&D stage and actively undergoing field testing in Ukraine.

What you'll do

• Develop and improve computer vision and autonomous navigation algorithms
• Build and optimize CV pipelines for real-time operation
• Optimize model inference for edge compute hardware
• Design and run tests — from simulation through to real hardware in the field
• Integrate software components with hardware platforms

• Contribute to sensor and camera selection and system architecture decisions alongside the team

   

What we need from you

• Python and C++ at production level
• ROS / ROS2: building and maintaining nodes, system debugging
• Computer vision pipeline: OpenCV, real-time video, stereo processing, depth estimation
• SLAM experience — ORB-SLAM, RTAB-Map, OpenVINS, or equivalent
• Experience with autonomous platform control systems (ArduPilot, PX4, or equivalent)
• Model deployment on edge hardware (Jetson, RPi, or equivalent)

• Comfortable with real hardware: sensor calibration, field debugging

   

Nice to have

• Experience with thermal or depth cameras
• Object detection / segmentation and custom training pipelines
• Experience with simulation environments (Webots, Gazebo, AirSim, or equivalent)
• Background working with UGV or UAV platforms

• Experience in defense or dual-use robotics

   

What we offer

• Meaningful and high-impact work in the ground defence domain
• Practical R&D environment with a high level of autonomy
• Direct influence on technical decisions and product direction
• Collaboration with an experienced senior engineering team
• Clear and efficient senior-to-senior communication with a minimum number of meetings
• Remote, hybrid, or office-based work format
• Office in the center of Kyiv

We are a Ukrainian DefenseTech company developing cutting-edge solutions for Unmanned Ground Vehicles (UGVs). Our team brings together experts in Robotics and AI, including ex-Google engineers and professionals with international DeepTech experience. We tackle complex engineering challenges in environments where any failure comes at a high cost. We are looking for an engineer to develop a new product currently in the R&D stage and actively undergoing field testing in Ukraine.

What you'll do

• Develop and improve computer vision and autonomous navigation algorithms
• Build and optimize CV pipelines for real-time operation
• Optimize model inference for edge compute hardware
• Design and run tests — from simulation through to real hardware in the field
• Integrate software components with hardware platforms

• Contribute to sensor and camera selection and system architecture decisions alongside the team

   

What we need from you

• Python and C++ at production level
• ROS / ROS2: building and maintaining nodes, system debugging
• Computer vision pipeline: OpenCV, real-time video, stereo processing, depth estimation
• SLAM experience — ORB-SLAM, RTAB-Map, OpenVINS, or equivalent
• Experience with autonomous platform control systems (ArduPilot, PX4, or equivalent)
• Model deployment on edge hardware (Jetson, RPi, or equivalent)

• Comfortable with real hardware: sensor calibration, field debugging

   

Nice to have

• Experience with thermal or depth cameras
• Object detection / segmentation and custom training pipelines
• Experience with simulation environments (Webots, Gazebo, AirSim, or equivalent)
• Background working with UGV or UAV platforms

• Experience in defense or dual-use robotics

   

What we offer

• Meaningful and high-impact work in the ground defence domain
• Practical R&D environment with a high level of autonomy
• Direct influence on technical decisions and product direction
• Collaboration with an experienced senior engineering team
• Clear and efficient senior-to-senior communication with a minimum number of meetings
• Remote, hybrid, or office-based work format
• Office in the center of Kyiv

At DICEUS, we’re inviting motivated individuals to join us as Intern Business Analysts and start their journey in software delivery and product development.

This internship is a great opportunity to gain hands-on experience working with enterprise-level solutions in the insurance domain, collaborate with cross-functional teams, and learn Agile practices, requirement analysis, and documentation preparation. You will work closely with experienced BAs and development teams to understand how real digital products are built and delivered.

What You’ll Be Learning

• Fundamentals of business analysis
• How to collect, document, and analyze business and technical requirements
• Preparing documentation: user stories, specifications, requirements, presentations
• Working with tools such as Jira, Confluence, and Trello
• Participation in project meetings: daily stand-ups, planning, demos
• Understanding and applying SDLC in practice
• Communication with clients and internal stakeholders

What We Expect From You

• Basic understanding of software development processes
• Strong analytical and communication skills
• Interest in business analysis, IT consulting, and working with requirements
• Responsibility, attention to detail, willingness to learn and grow
• English level — at least Intermediate for communication and documentation

What We Offer

• Hands-on business analysis experience on real IT projects
• Opportunity to work with enterprise-level products in the insurance industry
• Supportive and professional environment with continuous learning culture
• Potential career growth to Junior Business Analyst after successful internship completion

About us
We're building the unified data layer for private credit fund managers. We ingest, reconcile, and make sense of the financial data that fund CFOs and controllers live inside every day — NAV calculations, LP returns, reconciliation across GP records and fund administrators, SBIC compliance filings — and turn it into a trusted, queryable foundation for every decision the fund makes.
We're a seed-stage company with real customers, real data, and real financial stakes. Design partners and early clients depend on the accuracy of our platform for their fund reporting today. A silent data error costs us a customer permanently. That trust is the moat, and it's what makes this role matter.

About The Role
We're making a deliberate bet that one AI-native engineer running multiple agents in parallel against a well-built harness outperforms three traditional full-stacks. We have evidence this is true. We also know the critical qualifier: only if the harness is real. Without it, you ship a house of cards. This role exists to make the harness real. You are the load-bearing infrastructure hire for our AI-native engineering model. Everything our product engineers ship — every agent-generated diff, every behavioral test that catches a regression, every eval that defines what "passes" — runs on infrastructure you own.

This is not DevOps in the traditional sense. It's a new category: AI engineering infrastructure. Your instincts come from platform and DevEx backgrounds, but your domain is non-deterministic systems, LLM-app observability, and the specific failure modes that emerge when agents write production code.
Here's what you're walking into: our current local dev environment cannot run a full agent iteration cycle. The background job system that LangGraph agents require doesn't exist. The eval suite doesn't exist. You're not inheriting a platform — you're building the foundation that makes the whole model work, and you'll be doing it alongside our lead product engineer from day one.

Crucially, this is a day one partnership with the Lead Product Engineer: you build the system/harness, and they ship the features against it—a tight, mutual dependency. You won't be writing day-to-day product features. Instead, you'll build the systems the engineers shipping product depend on.

Key Responsibilities
I. Foundation (Months 1-2): The work that unblocks the AI-native model.
- Local Dev Environment: Our importers are manual CLI runs disconnected from S3 events. An agent iterating locally today cannot test against a real ingestion run. Your first deliverable is a local dev environment where an agent's diff can be run end-to-end before it touches staging.
- Async Execution Infrastructure: An agent orchestration framework's workflows require async execution. We have no background job system today. You'll select and ship it — a lightweight queue + worker setup on our existing AWS/ECS stack — as part of Month 1-2.
- First Agent Workflow: Get a single workflow for an agent orchestration framework running end-to-end against our FastAPI/PostgreSQL stack. Nothing in our agent roadmap ships without this foundation.
II. The Agent Harness
- Skills & Eval Infrastructure: Build the skills system, prompt library, and eval suite that make agent-generated code production-grade. These are the shared tools every product engineer relies on.
- Automated Review Pipeline: Stand up multiple layers of automated review — Cursor bot, Claude reviewer, independent Claude agents — so that agent-generated diffs face real scrutiny before human eyes touch them.
- Behavioral Test Infrastructure: Build the test framework that gates product deploys. End-to-end behavioral tests catch what unit tests don't. You build the system; product engineers write the tests.
III. CI/CD & Observability
- Agent-Aware CI/CD: Extend our GitHub Actions pipeline with regression catches, schema contract tests against the data layer, and lint rules tuned to our common agent failure modes. The pipeline should catch what matters without making deploys slow.
- Agent Observability: Instrument every agent run — what prompt produced what diff, what tests caught what, where humans had to intervene. This instrumentation is also our SOC 2 audit trail for AI-generated changes. Build it with compliance in mind from day one.
- Prod-Like Dev Environments: Ensure local dev mirrors production closely enough that an agent's output can be trusted before review. This is load-bearing, not nice-to-have.

What Success Looks Like
Within your first 6-12 months, success will look like:
- The harness is real: A product engineer can run 4-10 agents in parallel against a local environment, get behavioral test results back, and know what they're shipping before it hits staging.
- Agent runs are observable: We can answer "what prompt produced this diff?" and "what tests caught the last regression?" from logs, not from memory.
- SOC 2 audit trail is complete: Every AI-generated change in production has a logged record of the prompt, review layers, and tests that gated it. The auditor has what they need.
- CI/CD catches agent failure modes: The pipeline has caught at least one class of agent-generated bugs that would have reached production without it.
- Product engineering throughput is compounding, not collapsing: The product team is shipping fast because the infrastructure is real — not fast in ways that will become rework.

The Ideal Candidate
You might be a strong fit if you:
- Have 5+ years of platform, DevEx, or infrastructure engineering — you've built developer tooling that other engineers actually relied on in production, not experiments that sat unused
- Are hands-on with AWS — we run ECS/Fargate, S3, RDS on PostgreSQL 18, SES; IaC fluency (Terraform or Pulumi) is expected
- Has built eval harnesses or test infrastructure specifically for AI-generated or non-deterministic outputs
- Have strong opinions about behavioral testing and evals for non-deterministic systems — you understand why golden-set test design for LLM outputs is different from traditional test engineering
- Have experience with LLM-app observability or agent system instrumentation — you know what to log to understand why an agent produced what it produced
- Are comfortable in Python and TypeScript — enough to read and reason about what the product engineers are shipping, even if you're not writing features yourself
- Approach infrastructure with a "what breaks under load?" mindset — you build for the failure mode, not the happy path

Nice to have (but not required):
- Experience with an agent orchestration framework, observability stack, or equivalent tools.
- Fintech or compliance context — understanding why the audit trail is load-bearing, not optional
- Multi-tenant environment isolation on AWS

Must-have skills

- Platform / DevEx / Infrastructure Engineering — 5+ years

Experience building internal developer platforms, local development environments, CI/CD pipelines, and developer tooling for other engineers.

- AI Agent / LLM Infrastructure — 2+ years

Experience with agent orchestration, evaluation harnesses, behavioral testing, LLM observability, and infrastructure for non-deterministic AI systems.

- AWS + Infrastructure as Code — 3+ years

Hands-on experience with AWS services (ECS/Fargate, S3, RDS), queues/workers, GitHub Actions, and Infrastructure as Code using Terraform or Pulumi.

English B2+
wokring hours till 24 Kiev time !!!!