Dataforest

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 (1 year +);
• Experience with LLM , Diffusion models (1 year +);
• 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.

Dataforest is a hard-working and tight-knit team with first-rate experience in full-cycle developing data-driven solutions.

We are looking for a IT Project Manager to join our highly talented and motivated team.

Skills Requirements:

• 2+ years of experience as a IT Project manager ;
• Strong knowledge of project planning;
• Experience with managing web develop projects;
• Project documentation knowledge and understanding;
• Knowledge of the methodology: Scrum, Kanban, Waterfall;
• Experience with task tracking systems;
• Experience in outsoursing company.

Responsibilities:

• Plan and document project objectives, tasks, timelines and work assignments;
• Define and track project success metrics;
• Setting tasks to performers (programmers, designers, other);
• Full interaction with the development team;
• Business analysis and making technical requirements (optional).

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 fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Comfortable, spacious and well-equipped office in the city center;
• Team building activities, corporate events.

Dataforest is a hard-working and tight-knit team with strong expertise in full-cycle development of data-driven solutions and digital products for international clients.
We value ownership, technical excellence, and transparent collaboration.

We are looking for a React Native Developer to join our highly talented and motivated team and help us build a modern, scalable live streaming platform from scratch.

Requirements:

• 3+ years of experience in mobile software development
• Strong proficiency in React Native and clean code practices
• Solid experience with JavaScript and React.js
• Experience building projects from scratch
• Good understanding of mobile app architecture and software design principles
• Experience working in Agile environments
• Knowledge of application security best practices
• English level: Intermediate or higher

• Еxperience developing project from scratch and independence developing project required

   

Nice to Have:

• AR SDK experience (DeepAR, Banuba, Snap Camera)
• Lottie / SVGA animation systems
• Video feeds (TikTok style)
• Gamification systems
• Push notification platforms
• Analytics integrations

• Experience with creator economy products

   

Responsibilities:

• Develop and maintain mobile applications using React Native
• Participate in all stages of the development lifecycle: analysis, design, implementation, testing
• Build new applications and features from scratch
• Collaborate closely with cross-functional teams
• Contribute to project planning and scheduling

• Identify, troubleshoot, and fix bugs and performance issues

   

We Offer:

• Collaboration with international clients and challenging projects
• Opportunity to build products from scratch using modern technologies
• Personal and professional growth opportunities
• Competitive salary in USD
• Paid vacation and sick leave
• Flexible working schedule
• Friendly team environment with minimal hierarchy
• Team-building activities and corporate events

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 (1 year +);
• Experience with LLM , Diffusion models (1 year +);
• 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.

Dataforest is seeking a QA Engineer. If you are looking for a challenging project, and a friendly, supportive team ‒ you have found the right place to send your CV.

Responsibilities:

• Test web applications across the full stack: frontend (React.js, Next.js, React Native) and backend (REST, Python, DRF/FastApi).
• Design and execute load-sensitive test scenarios specific to high-traffic platforms (casino, gaming, fintech).
• Verify critical flows: transactions, balance updates, session integrity, concurrent user actions, race conditions.
• Create and maintain test cases, checklists, and test documentation for complex backend logic and business rules.
• Perform functional, regression, exploratory, and edge-case testing across the SDLC.
• Report, track, and verify defects in JIRA with clear reproduction steps and environment context.
• Collaborate with developers, QA leads, and product teams to clarify requirements and cover risk areas.

• Use tools like JIRA, Confluence, and Git/Bitbucket in daily work.

   

Professional requirements:

• 3+ years of experience testing web applications, with a strong emphasis on backend and API testing (REST).
• Hands-on experience with high-load platforms — casino, gaming, betting, fintech, or similar domains.
• Deep understanding of backend testing specifics: data consistency, concurrency, transaction flows, state management.
• Proficiency in API testing with Postman or similar tools (required, not nice-to-have).
• Experience with database querying (SQL) for data validation.
• Knowledge of SDLC and ability to identify test coverage gaps in complex distributed systems.
• Experience writing thorough test documentation for non-trivial backend scenarios.
• Experience with teamwork tools: JIRA, Confluence, Git/Bitbucket.

• Strong communication skills and ability to work in a fast-paced, high-stakes environment.

   

Nice to have:

• Experience with payment systems (Stripe, PaySafe, or similar) and payment flow testing.
• Understanding of RNG, game logic, or compliance requirements in gaming/casino platforms.
• Experience with performance or load testing basics (JMeter, k6, or similar).
• Knowledge of security testing basics relevant to financial or gaming systems (auth flows, session handling, input validation).

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 fixed in USD;

- Paid vacation and sick leaves;

- Flexible work schedule;

- Friendly working environment with minimal hierarchy;

- Comfortable, spacious and well-equipped office in the city center;

- Team building activities, corporate events.

Dataforest is looking for Head of Delivery / Head of Operations
This role carries full accountability for strategy execution, operational efficiency, team leadership, and business development across existing Dataforest projects.

Responsibilities:

•  Define and drive delivery strategy on each project, aligning execution with business goals, client expectations, and long-term scalability;
• Lead and continuously improve delivery processes across multiple teams to increase predictability, speed, and quality of execution;   
• Build and maintain strong client partnerships, ensuring transparency, trust, and clear expectations around timelines, scope, and delivery commitments;
• Take full ownership of delivery performance metrics (timelines, budget, quality, profitability), with a strong focus on delivery predictability and operational excellence;
• Support teams in planning, risk management, issue resolution, and change management to keep projects on track; 
• Coordinate up-sales and scope definition, ensuring realistic commitments, accurate estimations, and sustainable delivery models;
• Identify and allocate the right delivery resources (Tech Leads, designers, QA, PMs) in collaboration with internal teams to support timely execution;
• Monitor and manage key financial indicators (gross margin, earned value), ensuring delivery efficiency and profitability;                       
• Take full responsibility for budgets, operational efficiency, and financial performance.

• Act as a strategic partner to C-lvl and department heads in scaling delivery operations and introducing process improvements. 

   

Must have:

• 5+ years in Product Management, Operations, or Leadership roles.
• SWE background.
• Deep understanding of operational management principles and customer service. Experience building processes (PM and Delivery) in complex organizations.
• Experience at outsource companies.
• Strong analytical and systems thinking; data-driven decision-making.
• Proven experience in process optimization and cost reduction.
• Ability to work effectively in a multitasking and high-pressure environment.
• Proactivity, responsibility, and a results-oriented mindset.
• Confident proficiency in Ukrainian and English.

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.       

We are looking for a Middle Python Developer with a strong focus on backend development, high-performance APIs, and microservices to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

     Skills requirements:

• 3+ years of commercial experience with Python;
• Strong production experience with FastAPI (async programming, dependency injection, Pydantic);
• Deep understanding and hands-on experience with GraphQL (schema design, resolvers optimization, federation is a plus) along with traditional REST API approach;
• Strong understanding of asynchronous programming (asyncio, multithreading/multiprocessing);
• Experience with AWS services;
• Experience with SQL databases, ORMs (e.g., SQLAlchemy/Tortoise), and query optimization;
• Solid understanding of client-server models, microservices architecture, and authorization/authentication principles (OAuth2, JWT).
   

     Optional skills (as a plus):

• Experience with Strawberry or Ariadne (Python GraphQL libraries);
• Experience with Redis and Lua scripts;
• Experience with Celery or other async task managers/message brokers;
• Experience with third party integrations (payments, iGaming platforms, CRM and similar).
   

     Key responsibilities:

• Designing and developing high-performance Backend APIs using FastAPI and GraphQL;
• Building and maintaining applications with a distributed microservices architecture;
• Writing efficient asynchronous logic and integrating third-party services;
• Developing data-retrieval applications and specialized scripts (similar to DAGs in Airflow or AWS Lambdas) to process information for further DS and DE workflows;

• Optimizing database queries and API performance to ensure low latency.
   

  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 fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities, corporate events.

Looking for a Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

Skills requirements:
• 2+ years of experience with Python;
• 2+ years of experience as a Data Engineer;
• Experience with Pandas;
• Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
• Familiarity with Amazon Web Services;
• Knowledge of data algorithms and data structures is a MUST;
• Working with high volume tables 10m+.

Optional skills (as a plus):
• Experience with Spark (pyspark);
• Experience with Airflow;
• Experience with Kafka;
• Experience in statistics;
• Knowledge of DS and Machine learning algorithms..

Key responsibilities:
• Create ETL pipelines and data management solutions (API, Integration logic);
• Different data processing algorithms;
• Involvement in creation of forecasting, recommendation, and classification models.

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 fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Dataforest is looking for an experienced Delivery Manager to lead and coordinate software development projects for international clients. In this role, you will manage delivery processes, align cross-functional teams, ensure project success, and maintain strong client communication in a fast-paced outsourcing environment.

Requirements:
- 4+ years of experience as a technical leader or project manager.
- Strong leadership and organizational skills with the ability to effectively manage a team.
- Experience working with project budgets and understanding financial metrics.
- Deep understanding of the project delivery process.
- Understanding of Python, API, and SQL (optional).
- Possession of project management tools.
- Experience in account management and building long-term relationships with clients.
- English language - Advanced or Fluent level.

Responsibilities:
- Manage and coordinate project teams, including PMs, developers, and resource functions.
- Ensure timely and high-quality delivery of ІТ projects.
- Maintain and develop long-term relationships with clients, striving to increase their satisfaction.
- Manage project budgets and ensure the achievement of set financial indicators.
- Oversee all aspects of project execution—from planning to delivery.
- Participate in identifying client needs and generating additional business opportunities.

We offer:
- Working in a fast growing company;
- Great networking opportunities with international clients, challenging tasks;
- Personal and professional development opportunities;
- Competitive salary fixed in USD;
- Paid vacation and sick leaves;
- Flexible work schedule;
- Friendly working environment with minimal hierarchy;
- Team building activities, corporate events.

Dataforest is looking for a Data Engineer to join an interesting software development project in the field of Cybersecurity. Our client’s platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

Requirements:
• 3+ years of hands-on experience in data engineering;
• 3+ years of commercial experience with Python;
• Advanced experience with SQL DBs (optimisations, monitoring, etc.);
• Advanced experience with PySpark;
• Solid understanding of ETL principles (architecture/ monitoring/ alerting/search and resolve bottlenecks);
• Familiar with AWS infrastructure (boto3, S3 buckets, etc);
• Experience working with large volumes of data;
• Understanding the principles of medallion architecture.

Responsibilities:
• Maintain data processing architecture using Python and PySpark that interacts with ScyllaDB & PostgreSQL.
• Work with Databricks infrastructure to ensure reliability, scalability, and cost efficiency.
• Proactively identify bottlenecks and suggest technical improvements.

Nice to have:

• Cassandra/Scylla

• PostgreSQL

• Pandas

• Experience with Kafka and Redis

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 fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

We are looking for a visionary and hands-on Senior Backend Developer / Tech Lead to drive the technical evolution of our high-performance microservices ecosystem at Dataforest. If you are passionate about building scalable, high-load systems, defining architectural patterns, and guiding a talented engineering team in a healthy, flexible working environment — we want you on board!

    Technical Requirements:

• 4+ years of commercial experience in backend development using Python;
• Proven track record of designing and scaling high-load (Highload) applications and distributed systems;
• Deep expertise in FastAPI (advanced async patterns, dependency injection, architecture optimization, Pydantic v2);
• Extensive hands-on experience with GraphQL in production (advanced schema design, federation/subgraphs, N+1 problem resolution, resolver optimization);
• Strong mastery of asynchronous programming in Python (asyncio, advanced concurrency models);
• Production experience with AWS infrastructure;
• Advanced knowledge of SQL  databases, mastering query optimization, indexing strategies, and database sharding/replication (e.g., PostgreSQL + SQLAlchemy/Tortoise);
• Deep understanding of microservices patterns (Event-Driven Architecture, CQRS, Saga pattern, API Gateways, Service Mesh).
   

     Optional skills (as a plus):

• Experience with specialized GraphQL tools like Strawberry, Ariadne, or Apollo Router/Federation;
• Advanced usage of Redis (caching strategies, pub/sub);
• Experience with message brokers and task queues (Kafka, RabbitMQ, Celery) under heavy loads.
• Experience with third party integrations (payments, iGaming platforms, CRM and similar).
   

    Key Responsibilities:

• Architecture & Leadership: Design, build, and maintain scalable backend architectures using FastAPI and GraphQL; establish best practices, code standards, and technical roadmaps;
• High-Load Optimization: Solve complex scalability challenges, optimize system performance, eliminate bottlenecks, and ensure low-latency data delivery;
• Microservices & Infrastructure: Own the integration and evolution of a highly distributed microservices mesh built on AWS;
• Mentorship & Code Quality: Lead technical discussions, conduct rigorous code reviews, and mentor Middle/Junior developers, fostering a culture of engineering excellence;

• Cross-functional Collaboration: Act as a key technical point of contact, collaborating with Data Science, Data Engineering, and product stakeholders to design robust data-retrieval and processing APIs.
   

  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 fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities, corporate events.

Dataforest is looking for a Data Scientist to join an interesting software development project in the field of Cybersecurity. Our client's platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

    Required Qualifications

• 2+ years of experience working with large-scale, complex datasets.
• Experience with imbalanced data.
• High proficiency in Python for data analysis, feature engineering and modeling.
• Expertise in exploratory data analysis and preparing clean, structured datasets for model development.
• Hands-on experience with AI/ML techniques:
• Supervised (eg. gradient boosting, decision trees, etc.)
• Unsupervised (eg. anomaly detection, clustering, etc.)
• Familiarity with basic statistical concepts and model evaluation metrics (eg. precision, recall, ROC-AUC).
• Upper-intermediate (B2) or higher level of English.
  
  Nice to Have
• Hands-on experience in the fraud/risk domain.
• Experience with Databricks (including Pyspark) for data processing, experimentation, and model development.
• Experience in MLflow library for experiment tracking and model lifecycle management.
• Experience working with diverse data sources (e.g., behavioral, device, or transactional data) and deriving meaningful features.
• Experience assessing data quality and validating new data sources in production environments.

     Key Responsibilities

• Analyze large-scale transaction datasets to identify fraud patterns and risk signals.
• Develop and validate ML models for risk scoring and fraud detection/classification.
• Support deployment of models into production environments by collaborating with the development team.
• Monitor model performance, conduct regular evaluations, analyze the results.
• Perform feature engineering to continuously improve model performance.
• Collaborate with the client on R&D efforts, including exploratory data analysis, feature development, and testing new approaches.

     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 fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities and corporate events.

Dataforest seeks a Data Science Tech Lead/Team Lead to join a friendly, supportive team. We are Data Engineering company working on AI adoption in different industries.

We are looking for a person who likes challenges. This position offers the possibility of working as a Manager, however, to keep track of ongoing changes in the AI field and participate in AI projects.

As a Tech Lead/Team Lead, you will collaborate with the CEO and CTO to define proper development processes, run an R&D practice, participate in pre-sale, and lead ongoing AI projects.

Skills Requirements:

• 5+ years of experience in Data Science\Data engineering field;

• 4+ years of experience with Python;

• Strong management and leadership skills;

• Knowledge of data algorithms and data structures is a MUST;

• Experience with business analysis and project management;

• Knowledge of DS and Machine learning algorithms.

• Experience with LLM, RAG , Langchain;

• Experience with Databricks, Snowflake (Optional);

• Knowledge of cloud solutions: AWS/Azure/GCP (Optional);

• Experience in multithreading/multiprocessing approaches;

• Proficiency with Docker, Kubernetes, and CI/CD pipelines;

• Previous experience in a Team Lead role;

Key responsibilities:

• Manage Data science department;

• Perform code review, and data scientists assessment;

• Develop DS Architecture;

• Participate in pre-sale activities;

• Lead a data science projects;

• Write clean and well-structured code that is easy to read and maintain;

• Participate in decision-making processes related to design architecture, solution development, architectural, and code reviews;

• Develop high-load solutions;

• Conduct R&D work with new technology;

• Maintain high-quality coding standards within the team.

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 fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities and corporate events.

Dataforest is looking for a DevOps Engineer eager to grow professionally and work on international projects. You will support and improve infrastructure, set up CI/CD processes, and collaborate closely with the client team.

     Requirements:

• 3+ years of experience as DevOps;
• Experience with SQL, DB configuration;
• Deep understanding of Linux/Unix;
• Experience with Source Control (Git, Bitbucket);
• Experience with AWS Cloud;
• Experience with CI/CD (Github);
• Understanding of Container Concepts (Kubernetes, Docker);
• Experience with Nginx;
• Strong logical thinking and problem-solving skills;
• Proactive approach and ability to take initiative;
• Previous experience at an outsourced company - must;

• English — Intermediate or higher.

   

  Nice to have:

• Experience with Airflow;

• Experience with ETL pipelines.

   

  Key responsibilities:

• Cover the DevOps needs of a dev team;
• Support existing environments in both on-prem and cloud;
• Detect existing product infrastructure issues and vulnerabilities;
• Build ETL procedures;

• Implement best practices and standards for development.

   

  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 fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Comfortable, spacious, and well-equipped office in the city center;
• Team building activities, corporate events.

Ми — компанія з 9-річним досвідом розробки Custom Software Solutions, що спеціалізується на Data Engineering та AI-інтеграціях.

Requirements:

• Previous experience technicaly leadings teams.

• 5+ years of experience in Data Science;
• 4+ years of commercial experience with Python;
• People management skills;
• Deep understanding of algorithms and data structures;
• Solid knowledge of Machine Learning and Data Science methodologies;
• Hands-on experience with LLMs, RAG pipelines, and LangChain;
• Experience with Docker, Kubernetes, and CI/CD workflows;
• Understanding of multithreading and multiprocessing approaches;
 

Nice to have:

• Experience with Databricks and Snowflake;

Responsibilities:
• Design and develop scalable DS architectures;
• Lead AI and Data Science projects end-to-end;
• Develop maintainable, production-ready solutions;
• Contribute to architectural decisions and technical strategy;
• Drive R&D initiatives and evaluate emerging AI technologies;
• Maintain high engineering and coding standards.

What we offer:

• Opportunity to work on cutting-edge AI projects;
• International clients and technically challenging tasks;
• Professional growth and leadership opportunities;
• Competitive compensation in USD;
• Flexible work schedule and remote-friendly environment;
• Paid vacation, sick leave, and medical insurance;
• Supportive team culture with minimal hierarchy.