Jobs Data & Analytics

Join a project where scalability, resiliency, and real-time communication are at the core of the engineering challenge. We are looking for a Senior Java Developer to help build a high-load multi-channel communications platform used to deliver critical notifications to millions of users worldwide.

As part of Sigma Software, you will work remotely in an international engineering environment and contribute to the development of distributed, event-driven systems with complex delivery pipelines and fault-tolerant architecture.

We at Sigma Software offer the opportunity to influence architectural decisions, work on long-term product development, and collaborate with experienced engineering teams building modern cloud-native solutions.

Customer

Our customer is a leading EdTech company that uses AI and data-driven technologies to personalize learning experiences, optimize user engagement, and improve marketing effectiveness through advanced audience targeting and analytics.

Project

The project focuses on building a modern multi-channel communications platform capable of delivering critical notifications across email, SMS, voice, and push channels at massive scale. The system supports automated workflows, emergency broadcasts, consent management, reporting and analytics, provider failover strategies, and real-time event processing.

Responsibilities

• Design and implement a scalable event-driven communications platform
• Build highly reliable and fault-tolerant message delivery systems
• Manage large-scale real-time event processing pipelines
• Design and implement multi-channel delivery pipelines across email, SMS, voice, and push channels
• Handle compliance requirements, consent management, and communication policies
• Support emergency and high-priority notification workflows
• Implement provider failover and resiliency strategies to ensure delivery continuity
• Build tracking systems for delivery status, retries, and engagement events
• Design and implement observability, reporting, and analytics infrastructure
• Develop event processing and message orchestration workflows
• Implement provider integrations and external messaging service adapters
• Ensure system scalability, throughput, and performance under high load
• Collaborate with product and engineering teams on communication flows and requirements
• Contribute to architectural decisions and long-term platform evolution
• Ensure operational stability, reliability, and maintainability of the system

Requirements

• At least 5 years of commercial software engineering experience
• Strong experience in Java development
• Proven experience designing and building high-scale messaging, notification, or communication platforms supporting email, SMS, push, or voice channels
• Strong experience integrating with CPaaS and messaging providers such as Twilio, SendGrid, Amazon SES, SNS, Firebase/APNs, Braze, Iterable, or OneSignal
• Solid understanding of event-driven architectures using Kafka, Pub/Sub, Apache Beam, Kafka Streams, Flink, or similar technologies
• Strong knowledge of message delivery semantics, including exactly-once or effectively-once processing, idempotency, deduplication, retries, and reconciliation
• Experience designing scalable streaming pipelines with support for backpressure, dead-letter queues, replay, ordering, and fault tolerance
• Hands-on experience building reliable provider integration layers with failover, rate limiting, webhook processing, and delivery tracking
• Strong understanding of messaging compliance requirements, including TCPA, CAN-SPAM, 10DLC, opt-in/opt-out management, suppression lists, and sender reputation
• Experience designing systems that protect sensitive customer data and minimize PII exposure
• Experience building priority-based delivery architectures for high-volume messaging platforms
• Strong understanding of scheduling and time-based delivery logic, including time zones, quiet hours, recurring schedules, and daylight saving time handling
• Experience implementing safeguards for large-scale messaging, including approval workflows, preview mechanisms, test modes, and blast-radius protection
• Experience designing delivery tracking, reporting, and analytics systems with accurate reconciliation across providers
• Strong knowledge of distributed systems, scalability, reliability, and high-availability architectures
• Excellent problem-solving skills with the ability to build highly reliable, fault-tolerant backend systems

• Upper-Intermediate or higher level of English

   

Will be a plus

• Experience with email/SMS deliverability and sender reputation management
• Understanding of A2P 10DLC registration and messaging compliance
• Experience with Voice & TTS solutions
• Knowledge of template management, content rendering, and localization pipelines
• Experience building scheduled or delayed delivery systems on cloud platforms (preferably GCP)
• Understanding of event schema design and idempotent event modeling
• Experience with BigQuery reporting and analytics
• Exposure to regulated environments (e.g., FERPA/COPPA, K-12, education)

Personal profile

• Strong analytical and problem-solving skills
• Ability to work in distributed cross-functional teams
• Proactive approach to ownership and technical decision-making
• Strong communication and collaboration skills
• Ability to work in high-load, fast-paced environments
• Focus on reliability, scalability, and engineering quality

We are looking for an AI Product Engineer for a project-based role to design, build, and ship cutting-edge AI systems from initial concept to robust production deployment. If you excel at building agentic workflows, optimizing RAG pipelines, managing LLM latency and costs, and actively leverage modern AI coding tools like Cursor or Claude Code in your daily development, we’d love to have you on our team!

Responsibilities:

• Architect and implement AI features end-to-end—from technical design through to production launch.
• Integrate LLMs and external AI APIs, handling streaming, structured outputs, retries, fallback strategies, and function/tool calling.
• Build and optimize RAG systems for private data (ingestion pipelines, chunking strategies, embeddings, vector search, and reranking).
• Develop AI agents and multi-step workflows utilizing tools, MCP (Model Context Protocol), or Agents SDKs.
• Establish AI evaluation (evals) and monitoring tools, implement guardrails, and control for performance, speed, cost, and security.

Requirements:

• Production experience with Python and/or TypeScript developing backend services and APIs (FastAPI or Node.js).
• Hands-on experience integrating major LLM APIs (OpenAI, Anthropic, Gemini, Bedrock, or similar), including streaming, structured output, retries, and tool/function calling.
• Practical production experience with prompt engineering and RAG architecture (chunking, embeddings, vector databases, retrieval, and reranking).
• Experience developing AI agents, multi-step agent workflows, MCP, or function-calling systems.
• Proven track record with AI evaluations, monitoring, guardrails, latency/cost optimization, testing, Git, and CI/CD pipelines.
• Hands-on, daily experience using AI coding tools (Claude Code, Cursor, Codex, GitHub Copilot, etc.) on real production codebases - including rigorous code review and refinement of generated code.
• Upper-Intermediate level of English

What We Offer:

• Work from Anywhere (Fully Remote): Setup your workspace wherever you feel safest, happiest, and most productive.
• Control Your Day: Structure your working hours around your lifestyle and team syncs.
• Time to Recharge: 20 paid day-offs per year + 11 official public holidays in Ukraine.
• 5 fully paid sick days: no questions asked, so you can focus entirely on recovering when you're under the weather.
• Master your English with company-sponsored English courses, ensuring you feel perfectly confident collaborating with our clients.
• Upskilling Allowance: We fully reimburse educational courses and certifications that align with your professional goals and our business growth.

👋 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! 🚀

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

We are building an AI-first platform that fuses multiple maritime data sources into a unified operational picture. The system builds a digital twin of global maritime activity, applies behavioral analytics and predictive AI models to surface smuggling, illegal fishing, container risk, and other compliance or security threats, and presents mission-grade intelligence to both commercial and government stakeholders. 

Operating at global scale, the platform processes millions of events and terabytes of geospatial data daily, relies on cloud infrastructure and microservices, and integrates with upstream research prototypes from data science teams.

About the Role:

As a Senior MLOps Platform Engineer, you will be the driving force behind scaling AI capabilities by owning end-to-end infrastructure and processes supporting the full lifecycle of ML models. You will collaborate closely with data scientists, data analysts, and platform engineers to design and build systems for dataset and label management, model registry, experiment tracking, and model serving. 

Your contributions will enable faster, more reliable model deployments and deliver measurable impact in a mission-critical AI platform.

Key Responsibilities:

• Design and implement systems for dataset and label management, including versioning and customer feedback integration.
• Establish and maintain a model repository/registry with version control, lineage tracking, and local inference support.
• Lead implementation of experiment tracking and monitoring solutions for data science and generative AI, focusing on evaluation, drift detection, and reproducibility.
• Lead the deployment, lifecycle management, and continuous improvement of ML/DL models in production.
• Own model serving and inference infrastructure, including autoscaling, A/B testing, canary deployments, and latency/cost optimization.
• Enable generative AI capabilities by developing tagging tools, prompt management services, and LLM testing frameworks.
• Drive operational excellence by improving tool deployment usability and establishing granular cost visibility across environments and projects.
• Develop reusable components such as standardized data loaders, CI/CD pipelines, and automated model retraining workflows.
• Collaborate with data scientists and platform engineers to productionize ML/DL models in public cloud environments.

Required Competence and Skills:

• At least 5+ years of hands-on experience in MLOps / ML Platform Engineering (or equivalent ML Engineering experience with strong MLOps ownership). Able to independently design, build, and scale production ML infrastructure.
• Experience collaborating closely with Data Scientists or ML Research teams to productionize machine learning models.
• Strong Python programming skills.
• Hands-on experience in containerization, CI/CD, and public cloud platforms (AWS, Azure, or GCP) for deploying, serving, and monitoring ML models.
• Proficiency with dataset management, model versioning, experiment tracking, monitoring, and MLOps platforms (e.g. MLflow, SageMaker, or similar tools).
• Experience with machine learning frameworks (PyTorch or TensorFlow), big-data technologies (Apache Spark), and data stores such as PostgreSQL, MongoDB, and Redis.
• Experience using AI-assisted development tools and adopting Generative AI and agentic workflows in day-to-day software development.
• B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related field.

Nice to Have:

• Java programming experience in production environments.

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.

Our Mission and Vision

At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve. To achieve that, we’re on a bold path: to become the #1 payments orchestration platform in the world.

We believe the future of payments is shaped by people who think big, take ownership, and bring curiosity and drive to everything they do. That’s exactly the kind of teammates we want on board.
 

About the Role

As a Junior Technical Analyst, you’ll dive into Solidgate’s payment platform and help businesses integrate and run their payment flows smoothly. This role gives you hands-on experience at the intersection of technical operations and product — working with our technical and business teams to resolve issues and improve the payment experience for businesses worldwide.
 

What you’ll own

• Analyzing incoming client requests and finding effective solutions
• Collaborating closely with product and technical teams inside the company
• Communicating with client representatives to resolve technical issues related to our product
• Working with product documentation and keeping it up to date
   

You’re a great fit if you have

• Bachelor’s in Applied Mathematics / Systems Analysis / Software Engineering / related field (completed or in progress)
• Excellent written and verbal communication skills
• English proficiency at Upper-Intermediate level or higher
• Knowledge of SQL
   

Nice to have

• Self-starter — you can own your projects and take full responsibility for your area
• Practical experience with Postman and Python
   

Why Solidgate?

• No internships here — we build careers. Get hands-on from day one and make a real impact.
• Enjoy the ride. A wow office in Kyiv center, daily lunches, snacks, team buildings, and a learning budget to keep you growing.
• Flex your schedule. Balance studies and work with flexible hours that fit your life.
• Your work = real outcomes. Shape how global companies move money.

💌 The Extras: 30+ days off, unlimited sick leave, free office meals, health coverage, and Apple gear to keep you productive. Courses, conferences, sports and wellness benefits — all designed for ideas, focus, and fun.

Tomorrow’s fintech needs your mindset. Come build it with us.

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

Promin Apps is a product-first company on a mission to help people feel better, move more, and live healthier lives — physically and emotionally. At the intersection of AI, data, behavioral science, and personalization, we build thoughtful digital products that support fundamental lifestyle changes.

Now, we’re looking for a Data Analyst to uncover insights, drive experimentation, and leverage AI to shape the future of our product as we continue to scale.
 

Why this position is different

• Work in a high-trust culture where analysts are involved early in decision-making and encouraged to challenge assumptions with data.
• Go beyond performance marketing reporting by owning a significant part of our product analytics ecosystem and partnering with stakeholders to drive business decisions.
• Shape product strategy through insights, experimentation, and evidence-based recommendations.
• Leverage AI-powered workflows to automate routine analytical work and focus on solving higher-impact problems.
• Move fast with minimal bureaucracy — ideas are discussed openly, decisions are made quickly.

• Take real ownership of meaningful initiatives and accelerate your growth through autonomy rather than predefined tasks.

   

What you will do

• Own the full A/B testing lifecycle — from hypothesis generation and experiment design to statistical analysis and actionable recommendations.
• Improve and evolve our LTV prediction model, increasing forecasting accuracy and enhancing pROMI measurement.
• Analyze user behavior across activation and retention funnels to identify Aha moments and key retention drivers.
• Perform payment and monetization analytics, including payment behavior analysis, LTV calculations, and identifying revenue growth opportunities.
• Build and maintain Tableau dashboards for monitoring key product and business metrics.
• Partner closely with different stakeholders to translate business questions into analytical solutions.

• Continuously improve analytical processes through automation and AI-assisted workflows.

   

What we’re looking for

• 3+ years of experience as a Data Analyst or Product Analyst working with subscription-based B2C web or mobile products.
• Strong expertise in product analytics, including retention analysis, identifying Aha moments, cohort analysis, and understanding key product and business metrics.
• Hands-on experience owning the full A/B testing lifecycle — from hypothesis generation and experiment design to statistical analysis and actionable recommendations.
• Advanced SQL skills, including writing and optimizing complex queries.
• Strong proficiency in Python (Pandas, NumPy), with experience using external libraries and APIs for data analysis and workflow automation.
• Practical experience with predictive LTV modeling, including familiarity with approaches such as sBG/BD, BG/NBD, logarithmic models, or similar, and calculating predictive LTV for subscription-based B2C products.
• Experience building dashboards and communicating insights using Tableau, Looker Studio, or other data visualization tools (Python visualization libraries are a plus).
• Practical experience integrating AI tools into analytics workflows to automate repetitive tasks and improve productivity.
• A proactive, ownership-driven mindset and the ability to translate data into product decisions.

• English: B1+.

   

Nice to have

• Experience in the Health & Fitness domain.

   

What we offer

• Work from anywhere with a fully remote setup that adapts to your lifestyle.
• Flexible working hours that align with your most productive rhythm.
• Basic benefits package, including paid vacation, sick leave, and more.
• Personal and professional support, with advocacy available when you need a hand.

• Access to a curated corporate library filled with resources to fuel your continuous learning and development.

   

We believe work should have meaning. At Promin, you won’t be building “just another app.” You’ll help shape products that improve people’s everyday lives while working with a team that values curiosity, ownership, and thoughtful decision-making.

If you’re excited by complex product challenges, experimentation, AI-powered analytics, and having your expertise genuinely influence product direction, we’d love to hear from you.

Send us your CV — let’s build meaningful products together.

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.

We're looking for a 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.

• Strong English communication skills.

   

  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.
• Self-driven, proactive, and able to work independently.

• Previous experience in Affiliate Marketing / iGaming / Performance Marketing - significant advantage.

   

  What We Offer:

• Working days: Sunday-Thursday
• High ownership, autonomy, and career growth within a fast-growing international company

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

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