Jobs at Djinni

We’re looking for a Computer Vision Engineer focused on evaluation and data quality to help improve the performance of real-world CV systems.

This role is centered around working with visual datasets, analyzing model outputs, and identifying failure patterns. You won’t be training models end-to-end — instead, you’ll play a key role in improving model quality through better data, validation, and structured analysis.

If you enjoy working hands-on with images and video data, spotting edge cases, and making systems more accurate and reliable — this role is for you.

What You’ll Do

• Review, annotate, and validate image and video datasets used in CV workflows
• Perform detailed error analysis on model outputs to identify weaknesses and edge cases
• Support evaluation workflows for tasks such as object detection, classification, segmentation, and pose estimation
• Improve data quality through structured labeling, annotation review, and consistency checks
• Help define evaluation criteria, benchmarks, and test datasets
• Collaborate with ML and CV engineers to provide clear feedback on model behavior
• Document findings, patterns, and recommendations
• Contribute to improving data pipelines and evaluation processes

What We’re Looking For

• 2+ years of experience in Machine Learning or Computer Vision
• Strong understanding of CV fundamentals and evaluation metrics
• Hands-on experience with image/video datasets, annotation, or CV model evaluation
• Familiarity with tasks such as object detection, classification, segmentation, or pose estimation
• Ability to analyze visual outputs and perform structured error analysis
• Strong Python skills
• Experience with tools or frameworks such as OpenCV, PyTorch, or TensorFlow
• High attention to detail and comfort with quality-focused work

Nice to Have

• Experience with multimodal or vision-language models
• Familiarity with tools like Labelbox, Scale AI, CVAT, or Roboflow
• Background in data-centric AI, visual QA, or dataset auditing
• Experience with 3D vision, depth estimation, or point cloud data
• Kaggle or CV competition experience

Why This Role

• Work on real-world computer vision systems and improve their accuracy
• Direct impact on model performance through data and evaluation
• High ownership over dataset quality and evaluation processes
• Collaborative and fast-moving engineering environment

Responsibilities
 

• Act as the primary point of contact for all MongoDB-related topics, including reviewing and approving configuration and setup changes.
• Maintain and support MongoDB databases across both Atlas and on-prem environments.
• Maintain and support SQL Server and PostgreSQL databases in on-prem and AWS environments.
• Monitor database systems for health, performance, and availability.
• Advise software engineers on SQL query optimization and database schema design.
• Minimize database downtime and manage High Availability (HA) and Disaster Recovery (DR) strategies.
• Plan and contribute to long-term scalability and database architecture.
• Implement database changes, apply patches, and manage version upgrades.
• Assist with building and maintaining data extraction pipelines from MongoDB and SQL Server.
• Participate in the on-call rotation to support production systems.
   

Requirements

• 4+ years of combined experience across data platforms, including at least 2 years in a DBA role (MongoDB and relational databases, infrastructure, and application support).
• Hands-on data engineering experience (Airflow preferred).
• AWS experience (minimum 1 year).
• Advanced T-SQL development skills.
• Proficiency with Git and modern code management workflows.
• Strong understanding of backup, recovery, security, and data integrity principles.
• Excellent problem-solving skills with strong algorithmic thinking.
• Ability to work effectively in a fast-paced environment and meet deadlines.
• Fluent in English.

We are looking for a skilled FP&A Analyst to join our customers' team.

Key responsibilities

• Ensure data accuracy through validation processes and financial controls
• Manage and analyze usage-based and revenue-sharing (revshare) models
• Review and approve commercial agreements from a financial perspective
• Perform financial forecasting, budgeting, and variance analysis
• Deliver ad hoc analysis to support key business decisions

• Partner with cross-functional stakeholders to align financial insights with company strategy

   

Requirements

• 5+ years of FP&A experience, preferably in a global SaaS company
• Advanced Excel skills, including Power Query (mandatory)
• Advanced SQL (mandatory)
• Strong analytical mindset with exceptional attention to detail
• Proven ability to communicate insights clearly and partner with stakeholders
• Excellent English (written and verbal)

We are looking for an Affiliate Manager to own and scale our affiliate channel with a strong focus on traffic quality, fraud control, and performance analytics.

Core responsibilities

- Grow the affiliate channel for our subscription products (iOS, Android web)

- Maintain strong relationships with existing partners.

- Recruit and onboard new affiliates and networks (media buyers, arbitrage teams, content creators, referral partners).  

Performance & analytics

- Monitor traffic quality daily on the level of trials, subscriptions, refunds, and basic LTV.  

- Detect and prevent fraud and low‑quality traffic (incent/ motivated, fake trials, stolen cards, bot traffic) together with BI and product teams.  

- Analyze performance by partner, campaign, GEO, funnel, and creative; launch tests to improve ROI and LTV.  

- Prepare concise performance reports and input for monthly/quarterly planning for the affiliate channel.  

Offers, tracking & creatives

- Manage offers and terms: payouts, caps, GEOs, funnels, promo codes, and tests; ensure partners always have actual bids.  

- Own the basic rules for approving and rejecting conversions and communicate decisions transparently to partners.  

- Work with the creative team on briefs for new creative concepts based on partner feedback.  

- Collaborate with UA, product, and analytics teams to keep tracking links, postbacks, and event structure accurate for proper attribution and payouts.  

Requirements

• 2+ years of experience as an Affiliate Manager / Partnership Manager / Performance Marketing Manager
• Strong understanding of performance metrics (CTR, CR to trial, CR trial→paid, ARPU, ROI, LTV, refund rate) and how they translate into partner economics.
• Experience working with affiliate networks and direct affiliates; proven track record of growing revenue from this channel.
• Practical experience with anti‑fraud / quality control on CPA/CPS/CPI deals (e.g. validating conversions, holding/rejecting traffic, setting up rules).
• Solid skills in analytics tools (attribution platforms, BI dashboards, spreadsheets); ability to dig into cohort reports and event funnels.
• Comfortable working with tracking links, postbacks, macros, and basic troubleshooting of tracking issues.
• Strong communication and negotiation skills; ability to keep partners motivated while defending company margin and quality standards.
• Upper‑intermediate or higher English (written and spoken).

About the Role

We’re looking for a Machine Learning Engineer focused on evaluation and data quality to help improve the performance of modern ML and LLM systems.

This role is centered around understanding model behavior, identifying failure patterns, and building strong evaluation and feedback loops. You won’t be training models directly — instead, you’ll play a critical role in improving model outcomes through better data, analysis, and experimentation.

If you enjoy analytical problem-solving, working with real-world data, and making ML systems measurably better — this role is for you.

What You’ll Do

• Analyze and improve datasets used in ML and LLM workflows
• Perform detailed error analysis on model outputs (qualitative and quantitative)
• Design and implement evaluation frameworks, benchmarks, and quality checks
• Identify failure modes, data gaps, and improvement opportunities
• Support model experimentation with structured insights and feedback
• Collaborate closely with ML engineers and researchers to improve system performance
• Document evaluation methodologies, findings, and recommendations
• Help maintain high standards for data quality, consistency, and bias awareness

What We’re Looking For

• 5+ years of experience in Machine Learning or Applied ML roles
• Strong understanding of ML fundamentals and evaluation methodologies
• Hands-on experience working with real-world datasets for ML or LLM systems
• Strong Python skills
• Experience with data validation, evaluation pipelines, and error analysis
• Strong analytical thinking and attention to detail
• Ability to work independently and clearly communicate insights

Nice to Have

• Experience with LLMs, NLP, or generative AI systems
• Background in data annotation, QA, or evaluation-heavy ML environments
• Experience with experiment tracking, prompt evaluation, or benchmark design
• Exposure to bias analysis, robustness testing, or dataset auditing
• Research or competition-based ML background

Why This Role

• Work on cutting-edge ML and LLM systems
• Direct impact on model quality and real-world performance
• High ownership in shaping evaluation and data practices
• Collaborative, fast-moving engineering environment

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

Skills requirements:
• Strong Python Experience (3 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

Key responsibilities:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

About the Role

We’re looking for a strong Backend Engineer to help build and scale the systems that power complex AI training and execution workflows.

This is a high-impact role focused on designing and operating distributed systems that process large volumes of data and tasks. You’ll work on core backend infrastructure where performance, reliability, and scalability are critical.

If you enjoy building production systems from the ground up, solving complex engineering problems, and owning systems end-to-end — this role is for you.

What You’ll Do

• Design and build backend services that support large-scale AI workflows and task execution
• Develop and operate high-throughput, low-latency systems
• Build distributed workflows and orchestration components
• Collaborate closely with ML engineers, researchers, and product teams
• Own production systems: reliability, performance, monitoring, and scalability
• Contribute to system architecture and engineering best practices

What We’re Looking For

• 3+ years of experience building and shipping backend systems in production
• Strong fundamentals in system design, data structures, and distributed systems
• Experience building systems that operate at scale
• Proficiency in Python or Go
• Solid understanding of databases, async processing, and backend architecture
• Ability to work in fast-moving, high-ownership environments
• Strong problem-solving skills and engineering judgment

Nice to Have

• Experience with workflow engines or orchestration systems
• Background in infrastructure-heavy or AI-adjacent systems
• Experience building early-stage (0→1) products or platforms
• Computer Science degree or equivalent practical experience

Why This Role

• Work on technically challenging systems at scale
• High ownership and real impact on product and architecture
• Opportunity to shape core infrastructure from early stages
• Collaborative environment with strong engineering culture

Searching for an Ember Developer with experience in JavaScript (ES6+), TypeScript, HTML5, and CSS3.

English: B2
Location: Ukraine & Europe

We offer:

• Cooperation with a stable company with well-established processes and a positive atmosphere
• Experience in project management of different levels of complexity, methodology, and approaches
• Flexible schedule: Mon-Fri (8 hours a day)
• 18 days of paid vacation; 15 days sick leave
• A decent level of remuneration with regular reviews of the results of cooperation
• Extensive loyalty program 

We are looking for a Sales Manager focused on tenders to join our branch company DeviQA, a software testing and QA company.

This role is fully dedicated to identifying, managing, and winning tender opportunities (RFPs / RFQs), primarily in the QA and software development space.

Key Responsibilities:

• Search for and identify relevant tenders and procurement opportunities;
• Manage the full tender lifecycle: from qualification to submission
• Prepare high-quality RFP / RFQ responses;
• Collaborate with internal teams (delivery, QA, tech) to build competitive proposals;
• Develop strategies to increase win rate in tenders;
• Maintain pipeline and documentation for all tender activities.

Requirements:

• 2–3 years of experience in tender management, sales, or business development;
• Proven experience winning tenders (mandatory);
• Strong hands-on experience with RFP / RFQ processes;
• Understanding of where and how to find tenders;
• Experience in QA / software testing is a strong plus;
• Alternatively, solid experience in IT services / software development sales;
• Strong communication and proposal-writing skills;
• Ability to work independently and own the tender direction.

Nice to Have:

• Experience with international tenders (US / EU markets);
• Familiarity with outsourcing / outstaffing models.
  
  We Offer:
• Remote work and flexible working hours.
• Legal support.
• Paid sick leaves.
• Paid vacations.
• Medical insurance. 
• Free English classes.

Наш клієнт — міжнародна онлайн-геймінг компанія, яка створює захопливі та інноваційні ігрові продукти, використовуючи сучасні технології для надання якісних сервісів глобальній аудиторії.
 

Ідеально для тих, хто прагне:

• Створювати, запускати та оптимізувати end-to-end CRM journeys у різних каналах, зокрема Welcome, Retention та Reactivation;
• Розробляти та впроваджувати локалізовану CRM-стратегію, спрямовану на зростання player lifetime value, покращення retention і зниження churn;
• Визначати та розвивати підходи до клієнтської сегментації, зокрема behavioural, value-based та lifecycle segmentation, для реалізації максимально таргетованих промоактивностей;
• Тісно співпрацювати з Product-командою для інтеграції та просування gamified та інших продуктовых фіч у межах CRM lifecycle;
• Пропонувати, тестувати та масштабувати нові промомеханіки, офери та комунікаційні підходи на основі даних;
• Відповідати за планування та реалізацію кампаній у різних каналах, забезпечуючи високу якість, послідовність і performance;
• Глибоко аналізувати ключові CRM performance metrics;
• Перетворювати дані на практичні інсайти для покращення комунікаційної стратегії та ефективності бонусних механік;
• Узгоджувати CRM-ініціативи з пріоритетами Marketing та Product команд для забезпечення цілісного користувацького досвіду.
   

Досвід, який стане твоєю перевагою:

• Від 2 років досвіду в CRM або lifecycle marketing в iGaming, із досвідом роботи як зі sportsbook, так і з casino продуктами;
• Підтверджений досвід створення та реалізації CRM-кампаній на всіх етапах життєвого циклу, включно з onboarding, retention та reactivation;
• Сильне розуміння бізнес-метрик, таких як NGR, Active Days, Churn Rate та ARPU, а також уміння трансформувати дані в конкретні дії;
• Практичний досвід роботи з CRM та performance tracking інструментами, такими як Tableau або аналогічними рішеннями;
• Розуміння стратегій сегментації, включно з behavioural, value-based та lifecycle approaches;
• Сильний інтерес до gamification і player psychology, а також чітке розуміння драйверів користувацького залучення;
• Досвід взаємодії з кросфункціональними командами, зокрема Product, Marketing та Analytics, і вміння узгоджувати CRM-ініціативи з ширшими бізнес-цілями;
• Англійська на рівні Intermediate або вище, усна та письмова.
   

Ми цінуємо:

• Креативне, нестандартне мислення;
• Сильні комунікаційні навички та здатність якісно реалізовувати задачі;
• Уміння працювати з кількома пріоритетами одночасно;
• Data-driven підхід;
• Високий рівень ownership: ти береш відповідальність не лише за задачі, а й за результат;
• Проактивний підхід: бачиш можливості та дієш;
• Уважність до деталей без втрати фокусу на загальній картині. 

Долучайся — і нехай твоя історія зростання розпочнеться.

English version:
 

Our client is an international online gaming company focused on delivering engaging and innovative gaming experiences, leveraging modern technologies to provide high-quality products and services for a global audience.
 

Perfect for those who aim to:

• Design, launch, and optimise end-to-end CRM journeys across multiple channels, including Welcome, Retention, and Reactivation flows;
• Own and execute a localised CRM strategy focused on increasing player lifetime value, improving retention, and reducing churn;
• Define and evolve customer segmentation, including behavioural, value-based, and lifecycle approaches, to enable highly targeted promotions;
• Collaborate closely with Product to integrate and promote gamified and other product features within the CRM lifecycle;
• Propose, test, and scale new promotional mechanics, offers, and communication approaches based on data;
• Own campaign planning and execution across channels, ensuring high quality, consistency, and performance;
• Deep dive into key CRM performance metrics;
• Translate data into actionable insights to improve communication strategy and bonus efficiency;
• Align CRM initiatives with Marketing and Product priorities to ensure a consistent user experience.
   

Experience you’ll need to bring:

• 2+ years of experience in CRM or lifecycle marketing, in iGaming, with experience across both sportsbook and casino products;
• Proven experience designing and executing CRM campaigns across the full lifecycle, including onboarding, retention, and reactivation;
• Strong understanding of business KPIs, such as NGR, Active Days, Churn Rate, and ARPU, with the ability to translate data into actions;
• Proven experience with CRM and performance tracking tools, such as Tableau or similar;
• Understanding of segmentation strategies, including behavioural, value-based, and lifecycle approaches;
• Strong interest in gamification and player psychology, with a clear understanding of user engagement drivers;
• Experience working with cross-functional teams, including Product, Marketing, and Analytics, and aligning CRM initiatives with broader business goals;
• Intermediate English and higher, both spoken and written.
   

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

• Creative, out-of-the-box thinking;
• Strong communication and execution skills;
• Ability to manage multiple priorities;
• Data-driven mindset;
• High ownership: you take responsibility for outcomes, not just tasks;
• Proactive approach: you identify opportunities and act on them;
• Attention to detail without losing sight of the bigger picture.
   

Apply, and let your growth journey begin.

#vacancy #Data Scientist (Risk Management) #Fintech #Remote

Salary: $3200–3450

Responsibilities:

 • Prepare and submit reports, analyzing their impact on the company’s financial stability.

 • Monitor the credit portfolio, analyze default rates and profitability, and develop measures to improve performance.

 • Collaborate with cross-functional teams to minimize risks.

 • Develop, maintain, and improve the credit scoring system, ensuring its relevance and accuracy.

 • Evaluate the effectiveness of automation systems and decision support systems (DSS), with regular updates and algorithm improvements.

 • Track market trends and implement modern tools for automation, analytics, and predictive modeling.

 • Develop data visualizations (dashboards, reports) for effective information presentation.

 • Define and monitor key performance metrics (default rate reduction, application processing time, error minimization, etc.).

Requirements:

 • Experience in banking or financial institutions.

 • Strong Excel skills.

 • Experience in Data Science and Machine Learning (working with large datasets).

What we offer:

 • Work schedule: 5/2, 09:00–18:00

 • Medical insurance

We are seeking a QA Engineer to own end-to-end quality assurance across our client data and reporting platform. Healthcare domain.

Responsibilities:

• Review and interpret requirements from multiple sources: Jira stories, Confluence documentation, BRDs, email threads, and stakeholder conversations
• Translate requirements into well-structured test cases covering happy paths, edge cases, and negative scenarios
• Participate in sprint planning and refinement sessions to flag testability concerns and ambiguous acceptance criteria early
• Perform data-layer validation against SQL Managed Instance in Azure: verify pipeline outputs, staging tables, transformation logic, and aggregations
• Perform presentation-layer validation in Power BI: verify measures, visuals, filters, slicers, and report behavior against expected data
• Execute UAT-level testing in a staging environment that mirrors production data and report structure
• Validate ADF (Azure Data Factory) pipeline runs: confirm correct data ingestion, transformation, and load behavior, including error and retry scenarios
• Coordinate with developers and flag regressions before UAT sign-off
• Log, triage, and track defects in Jira with clear reproduction steps, expected vs. actual results, and severity ratings
• Partner with developers and analysts to investigate root causes and validate fixes
• Produce QA summary reports for sprint reviews and release approvals

Qualifications Required:

• 5+ years in a QA or data validation role, ideally within a BI, analytics, or data engineering context
• Proficiency in SQL: comfortable writing complex queries to validate data in relational databases (Azure SQL / SQL Managed Instance experience is a plus)
• Familiarity with ETL or data pipeline concepts 
• Experience working in agile/scrum teams using Jira and Confluence
• English: Upper intermediate

Nice to Have

• Experience with test automation for data pipelines
• Hands-on experience testing Power BI reports or equivalent BI tools (Tableau, Looker, SSRS)
• Familiarity with Azure DevOps CI/CD pipelines and integrating automated tests into deployment workflows
• Experience testing ERP-adjacent data  or CRM integrations
• Scripting ability in Python for test harness development

We offer:

• Long-term contract

• 100% Remote position

Tango is a successful, marketleader, a live-streaming Platform with 450+ Million registered users, in an industry projected to reach $240 BILLION in the next couple of years. 

The B2C platform, based on the best-quality global video technology, allows millions of talented people around the world to create their own live content, engage with their fans and monetize their talents.

Tango live stream was founded in 2018 and is powered by 300+ global employees operating in a culture of growth, learning, and success!

The Tango team is a vigorous cocktail of hard workers, creative brains, energizers, geeks, overachievers, athletes, and more. We push the limits to bring our app from “one of the top” to “the leader”. 

The best way to describe Tango's work style is not to use the word “impossible”. And we believe that success is a thorny path that runs on sleepless nights, corporate parties, tough releases, and of course our users' smiles (and as we are a LIVE app, we truly get to see our users all around the world smiling right in front of us in real-time!).  

Responsibilities

• Development and support of SPA on ReactJS: web version mobile-first of a high-load application, admin panels for internal use, and marketing pages
• Collaborate with other teams to effectively meet the product and technical needs of the project
• Proactively participate in improvements and existing solutions tuning
• Share expertise and knowledge with your teammates

Requirements

• At least 5 years of commercial experience in development in JS (ES6+)/Typescript
• Strong knowledge of CSS, HTML5, SASS, Jest
• At least 2 years of commercial experience in development in with ReactJS version 16+ (hooks)
• Experience with state management frameworks: Redux and Redux toolkit preferred
• Intermediate English

What we offer:

• International company with several offices in different locations : Tel-Aviv, Kyiv, Warsaw, Limassol.
• Granting an Option;
• A professional environment with great people to work with;
• Competitive salary, performance review;
• Flexible working hours, no one here tracks your work time because our culture is built on trust and cooperation;
• Social package, including sports coverage, elite medical insurance for you and family;
• 20 working days paid vacation and 100% sick leaves coverage;
• Opportunities to make a difference, to develop and grow;
• Regular corporate celebrations, team buildings and fun activities;
• Comfortable office close to the metro station. Our Kyiv office is open 24/7 with all safety and health measures in place.

We’re looking for a hands-on Upwork Outreach/ Lead Generation Specialist  who knows how to turn bids into conversations and conversations into sales calls. No spam, no templates — only thoughtful, value-driven outreach.

Role Mission - to generate a steady flow of qualified leads from Upwork by actively bidding on relevant projects, writing personalized proposals, and engaging potential clients in direct conversations — all the way to the first sales call / negotiation stage.

Key Responsibilities

• Work hands-on with Upwork:
  • Identify and analyze relevant job postings
  • Write highly personalized bid proposals
  • Communicate with clients via Upwork messages
• Conduct direct outreach to potential clients (Upwork, LinkedIn)
• Adapt messaging based on client needs, industries, and budgets
• Manage follow-ups and maintain conversations until handoff to founder
• Track leads, statuses, and results in Google Sheets
• Analyze performance metrics:
  • Bid → reply rate
  • Reply → call conversion
  • Call → deal (in collaboration with sales)

Success Metrics (KPIs)

• Number of high-quality bids submitted per week
• Reply rate on proposals
• Number of booked calls
• Lead quality (budget fit, relevance, decision-makers)

Ideal Candidate Profile

• 6+ months of experience with Upwork bidding, outreach, or lead generation
• Strong ability to write value-driven, non-template proposals
• Ability to quickly understand client pain points from descriptions
• Written English at B2+ level
• High attention to detail, independence, and structured approach

What We Offer

• Flexible working hours 
• A collaborative and innovative work environment
• Professional growth and development opportunities
• Opportunity to work on an exciting and impactful project
• Modern office in Poznan or Kyiv
• Corporate English lessons

📩 Send us your CV — let’s build something great together!

Technical Skills:

-3+ years of commercial Golang development experience in production systems

-Strong expertise in Kubernetes, Docker, and CI/CD pipelines

-Proficiency with gRPC and Kafka for high-performance service communication and

event streaming

-Advanced database knowledge (PostgreSQL or Google Spanner) including schema

design, indexing, and query optimization

-Experience with profiling and benchmarking Go applications (pprof or similar)

-Ability to design and implement complex automated processes such as cron jobs with

dependencies, retries, and monitoring

-Skilled in writing clear API documentation and technical specifications

-Upper-Intermediate or higher English level
 

🤝 Soft Skills:

-Strong analytical and problem-solving mindset

-Collaborative, proactive, and detail-oriented approach

-Self-driven with a commitment to quality and continuous improvement

backlog.
 

📈 Relevant Experience:

-Designing and operating high-load, distributed architectures in production

environments

-Delivering scalable microservices from concept to deployment

-Working in cross-functional teams to deliver mission-critical features

-Troubleshooting and optimizing systems in real-time, high-traffic environments

-Experience with ERP domain is considered a plus

-Proven motivation to grow as an engineer, with an interest in career development and

continuous skill growth