Jobs Data Scientist

As a member of Computer Vision Team, you will contribute to data preparation, research, prototyping, and the deployment of machine learning models and computer vision algorithms in edge and cloud environments. Your responsibilities will also include monitoring and evaluating solution performance in production and adapting the system to rapidly changing operational conditions.
Required Qualifications:

• 3+ years of experience in computer vision
• High proficiency in Python
• Strong experience with deep learning and the PyTorch framework for computer vision tasks
• Research experience in computer vision with a focus on delivering results
• Ability to work independently or within a small team, with a strong sense of ownership over results

Nice to Have:

• Experience with deep learning solutions for detection, tracking, image retrieval, and segmentation tasks
• Understanding of geometric computer vision principles
• Model optimization: quantization, pruning, neural network compilers
• Hands-on experience implementing low-level CV algorithms
• Knowledge of C++

The Defense Procurement Agency (DOT) is a national agency responsible for procuring ammunition, UAVs, military equipment, fuel, food, clothing, and other critical supplies for the Armed Forces of Ukraine and the Defense Forces.

Our mission: Strengthening Ukraine by ensuring reliable support for the Defense Forces while fostering the development of the national defense industry.

Our vision: To become the driving force behind the transformation of Ukraine's defense procurement ecosystem—not only operating the system, but continuously improving it.

We are currently looking for a Master Data Specialist who will be responsible for coordinating and maintaining master data management processes, ensuring data quality, accuracy and consistency, and collaborating with internal stakeholders to improve related business processes and information systems.

Responsibilities

• Organize, coordinate and oversee master data management processes, including creating new master data records, updating existing ones, and ensuring their accuracy, completeness and consistency.
• Prevent duplicate master data records and ensure compliance with established policies, methodologies and standards.
• Handle requests from internal departments regarding the creation and modification of master data records, and provide guidance on master data management and the use of relevant information system functionality.
• Manage master data classification and labeling processes, considering their impact on related business processes, data routing, item allocation, reporting and further use across the company's information systems.
• Support the migration of master data from the legacy CRM system to the new one.
• Gather, analyze and document business requirements from internal stakeholders to prepare technical specifications for information system development and improvements.
• Coordinate collaboration between business departments and the IT team during the implementation of approved changes and functional enhancements. Evaluate implementation results and ensure that the delivered functionality meets business requirements.

Requirements

• Bachelor's or Master's degree in Information Technology, Computer Science, Business Analytics, Management, Economics or a related field.
• Confident user of Microsoft Excel, with strong data processing and analysis skills.
• Understanding of master data and reference data management principles, including data quality, accuracy and consistency.
• Experience working with ERP/CRM systems and other enterprise information systems.
• Understanding of business processes and the impact of master data on related systems and reporting.
• Strong attention to detail, a structured and systematic approach, and the ability to work with large volumes of data.
• Ability to communicate and collaborate effectively with internal stakeholders and IT teams.

Will be a plus

• Basic knowledge of SQL.
• Experience in business requirements analysis and documentation, including preparing technical specifications for information system enhancements.
• Experience in testing and verifying that implemented changes meet business requirements.

What We Offer

• Meaningful work that directly contributes to strengthening Ukraine's defense capabilities.
• Official employment with competitive salary and full social benefits.
• Professional development, learning opportunities, and career growth.
• Structured onboarding and dedicated mentorship.
• A collaborative, supportive, and mission-driven team.
• Modern office near the metro with reliable internet and equipped shelter.
• Opportunity to build and lead cybersecurity for one of Ukraine's most strategically important digital ecosystems.

By joining our team, you will contribute to one of Ukraine's largest digital transformation initiatives in the defense sector and help build the future of defense procurement.

Ready to make a real impact? We'd love to hear from you. Apply today!

* By submitting your CV, you consent to the processing of your personal data in accordance with applicable legislation.

** Due to the high volume of applications, only candidates whose qualifications best match the position will be contacted.

We are looking for a Middle AI/ML Engineer to develop and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will focus on building and iterating on machine learning and LLM-based solutions, integrating them into Foundry workflows to support analytics, automation, and decision-making. You will collaborate closely with data engineers, business analysts, and domain experts to deliver practical, production-ready AI solutions.

Responsibilities:

• Develop and enhance machine learning and AI models to support predictive analytics, classification, forecasting, and AI-assisted workflows.
• Build AI and ML solutions within Palantir Foundry, using Python and existing Foundry pipelines, Ontology objects, and workflows.
• Apply LLMs and NLP techniques (e.g. prompt engineering, fine-tuning, embeddings, retrieval-augmented workflows) using Palantir AIP for enterprise use cases.
• Collaborate with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference.
• Conduct experiments, evaluate model performance, and iterate on features and model approaches.
• Integrate AI models into Foundry workflows to surface insights and support business processes.
• Support model deployment and monitoring by following established team standards and best practices.
• Work closely with business and domain stakeholders to translate requirements into practical AI-driven solutions.
• Document model behavior, assumptions, and limitations to support transparency and compliance.
• Stay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members

Requirements:

• 3+ years of experience in machine learning, AI engineering, or applied data science.
• Strong Python skills; experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Hands-on experience with LLMs, NLP, or GenAI use cases (e.g. prompt design, embeddings, text classification, summarization).
• Practical understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and iteration.
• Experience working with structured data (tabular, time series); exposure to text or unstructured data is a plus.
• Familiarity with enterprise data environments and collaborative development workflows.
• Ability to clearly explain model results and AI behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to have: 

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

As a Generative AI Data Scientist, you will play a critical role in use case evaluation, architecture, and development planning, developing and implementing state-of-the-art generative models to solve complex business problems. This is an exciting opportunity to apply cutting-edge techniques and push the boundaries of AI technology.

Qualifications:

-Proven experience in developing and implementing generative models, such as GANs, VAEs, or deep generative models.

- Strong proficiency in programming languages such as Python, with experience using deep learning frameworks such as TensorFlow or PyTorch.

- Solid understanding of machine learning, deep learning, and statistical modeling concepts.

- Experience working with large-scale datasets and preprocessing techniques.

- Proficiency in data visualization and exploratory analysis tools.

- Strong problem-solving skills and ability to think creatively to design innovative solutions.

- Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.

- Proven ability to work collaboratively in a team environment and contribute to cross-functional projects.

- Strong research and self-learning abilities, with a passion for staying up-to-date with the latest advancements in generative AI and related fields.

Preferred Skills:

- Experience with natural language processing (NLP) and text generation models.

- Familiarity with cloud-based machine learning platforms and Generative AI services, such as Azure (Open AI, ChatGPT), Google Cloud or AWS.

- Knowledge of parallel computing and distributed training frameworks.

- Publications or contributions to the research community in the field of generative AI or related disciplines.

Responsibilities:

- Research and Development: Conduct research and stay up-to-date with the latest advancements in generative AI, deep learning, and related fields. Explore and experiment with different generative models, architectures, and algorithms to enhance our capabilities.

- Model Development: Design, develop, and implement novel generative models tailored to specific use cases. Create and optimize deep neural networks, variational autoencoders (VAEs), generative adversarial networks (GANs), or other generative architectures to generate realistic and diverse synthetic data.

- Data Preprocessing: Work closely with data engineers and domain experts to preprocess and clean large-scale datasets. Apply statistical techniques and data augmentation methods to ensure high-quality input data for training generative models.

- Model Training and Evaluation: Train and fine-tune generative models using large-scale datasets, leveraging techniques such as transfer learning and unsupervised learning. Develop evaluation metrics and benchmarks to assess model performance and generate insights to guide model improvements.

- Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, insurance experts, and experience designers, to integrate generative models into real-world applications. Provide technical guidance and support to ensure successful implementation and deployment of generative AI solutions.

- Innovation and Optimization: Continuously explore new techniques, frameworks, and tools to optimize and enhance the performance of generative models. Stay informed about emerging trends and best practices in the field and contribute to the advancement of the organization's data science capabilities.

- Documentation and Reporting: Prepare clear and concise technical documentation, including model architectures, methodologies, and experiment results. Present findings and insights to both technical and non-technical stakeholders, contributing to knowledge-sharing and decision-making processes.

We are looking for an analytically strong and technically curious Data Scientist to join our team in Lviv.

What you will do:

Analyse large and complex datasets to identify patterns, relationships, and opportunities for improving our models.

Develop, test and improve algorithms and predictive models using Python.

Work with geospatial data and contribute to the development of high-resolution environmental maps.

Apply statistical methods and machine learning where appropriate.

Contribute to monitoring, troubleshooting, and improving our existing data processing and production systems.

Investigate data quality issues, unexpected model outputs and processing failures.

Gradually develop a good understanding of our Azure-based production environment.

Work independently and collaboratively to solve analytical and technical challenges.

What we are looking for:

Approximately 3–5 years of relevant professional experience.

Strong analytical thinking and problem-solving abilities.

Solid programming skills in Python, including experience with Pandas, NumPy or similar libraries.

Good understanding of statistics, data analysis and quantitative modelling.

Experience working with complex datasets and developing reliable, maintainable code.

Ability and willingness to understand existing software systems, investigate errors and contribute to troubleshooting.

A structured, independent and pragmatic approach to solving problems.

Good communication skills in English.
Nice to have:

Experience with geospatial analysis, GIS or map production, using tools such as GeoPandas, Rasterio or QGIS.

Experience with machine learning and predictive modelling, for example scikit-learn.

Familiarity with Microsoft Azure or other cloud platforms.

Experience with automated data pipelines, monitoring or production environments.

Experience with satellite imagery, remote sensing or environmental data.

Familiarity with Git and SQL.

What we offer:

The opportunity to work with satellite data, environmental modelling and high-resolution geospatial technologies.

Challenging analytical problems with practical, real-world applications.

A small, international team where your work will have a direct impact.

Opportunities to develop expertise in data science, geospatial analysis and production systems.

A varied role combining research, model development and practical problem-solving.

Dataforest are looking for a highly experienced Team Lead Data Science with a strong engineering and managerial background (10+ years in the domain). In this role, you will lead and scale our AI/Data Science practice, establish robust development processes, drive pre-sales and R&D activities, and effectively manage an engineering team of 8–10+ members.
 

 What you’ll do:

• Team Leadership & Management: Lead and grow the Data Science department (8–10+ people), perform 1-on-1s, technical assessments, and performance reviews.
• Architecture & Strategy: Define the AI/DS architecture and tech strategy, establish high-quality coding standards, and oversee code reviews.
• Business & Pre-sales: Collaborate closely with C-level executives (CEO/CTO) to shape development processes, lead pre-sale activities, and estimate complex AI projects for international clients.
• R&D & Solution Delivery: Drive complex AI projects from concept to production (High-Load systems, LLM/RAG solutions) and conduct R&D with cutting-edge technologies.
   

 You'll be a great fit if you have:

• 10+ years of total experience in Data Science, Machine Learning, Data Engineering, and Software Engineering.
• Management Experience: Proven track record of leading teams of 8+ engineers (Data Scientists, ML Engineers).
• AI & LLM Expertise: Deep practical knowledge of the modern AI stack: LLM, RAG, LangChain, LangGraph, and AI Agents.
• Core Tech Stack:
  • Mastery of Python, algorithms, and data structures.
  • Proven experience in building scalable ML/DS architectures and high-load production systems.
  • Solid understanding of MLOps, Docker, Kubernetes, and CI/CD pipelines.
• Business Analysis & Pre-sales: Demonstrated capability in project estimation, client communication, and translating complex business requirements into technical solutions.
• English: Upper-Intermediate (B2+) or higher for fluent communication with international clients.

We ensure your growth with:

• Great networking opportunities with international clients and challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leave;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team-building activities and corporate events.

We are looking for a Senior AI/ML Engineer to design, develop, and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready machine learning and LLM-based solutions, from understanding business needs and exploring data to designing technical approaches, implementing solutions, and integrating them into Foundry workflows. You will work closely with data engineers, business analysts, and domain experts, contribute to technical decisions, and help establish best practices for building scalable and reliable AI solutions.

Key Responsibilities:

• Design and develop AI/ML solutions for predictive analytics, classification, forecasting, automation, and AI-assisted workflows within Palantir Foundry, leveraging Python, Ontology objects, pipelines, and workflows.
• Design, implement, evaluate, and optimize LLM/NLP and RAG solutions using Palantir AIP, including prompt engineering, embeddings, retrieval strategies, vector search, and text processing.
• Own the end-to-end lifecycle of AI solutions, from experimentation and model development to deployment, monitoring, and continuous improvement.
• Collaborate with data engineers to understand data sources, ensure data quality, and design efficient and scalable data processing approaches.
• Integrate AI solutions into production workflows and optimize them for accuracy, reliability, latency, scalability, and cost-efficiency.
• Contribute to technical architecture and design decisions, including model, framework, and tool selection; proactively identify technical risks, improvement opportunities and proactively propose solutions.
• Work with business and domain stakeholders to translate business needs into practical, scalable, and production-ready AI solutions, clearly communicating technical decisions and model limitations.
• Identify technical risks, limitations, and opportunities for improvement and proactively propose solutions.

Requirements:

• 4+ years of experience in machine learning, AI engineering, applied data science, or related fields.
• Strong Python skills and hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong practical experience with LLMs, NLP, or GenAI applications, including prompt engineering, embeddings, text processing, summarization, or similar use cases.
• Solid hands-on experience designing and implementing RAG architectures, vector databases, and retrieval strategies.
• Strong understanding of the ML lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
• Experience working with both structured and unstructured data, including tabular data, time series, text, and documents.
• Ability to independently analyze ambiguous problems, propose technical approaches, and drive solutions from concept to implementation.
• Strong communication skills, with the ability to explain AI concepts, technical decisions, and model behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to Have:

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We are looking for a Computer Vision Engineer with strong experience in deep learning and applied computer vision systems.
The role involves working on challenging CV problems in real-world environments.
We consider Middle and Senior engineers, with scope adapted to experience.
Responsibilities

• Develop, train, and optimize deep learning models for:
  • image retrieval
  • image matching (keypoint detection and matching)
  • auxiliary perception tasks supporting the main pipeline
• Evaluate models using quantitative metrics, including:
  • retrieval quality (mAP, Recall@K)
  • matching performance (precision/recall, repeatability)
  • end-to-end system metrics (accuracy, latency, robustness)
• Optimize models for production deployment using modern toolchains:
  • ONNX / TensorRT / OpenVINO / edge acceleration where applicable
  • model compression techniques (quantization, pruning, distillation)
  • latency, memory, and throughput optimization
• Work with large-scale visual datasets and descriptor-based representations
• Collaborate with engineering teams to integrate models into production systems

Required Qualifications

• 2–4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with keypoint detection and matching models (e.g. SuperPoint, R2D2, DISK, LightGlue, SuperGlue)
• Experience with image retrieval or metric learning systems
• Strong understanding of geometric and motion-related computer vision concepts:
  • keypoint detection and description
  • image matching and geometric verification (RANSAC, homography, PnP)
  • pose estimation and refinement techniques (PnP, bundle adjustment, pose graph optimization)
  • optical flow and frame-to-frame tracking
  • vector search / ANN methods for descriptor retrieval
• Strong Python skills (PyTorch and scientific computing stack)
• Ability to read and understand inference code in C++

Nice to Have

• Experience with noisy or imperfect real-world datasets
• Self-supervised or unsupervised learning methods (contrastive learning, homography supervision, etc.)
• Experience optimizing models for edge deployment (quantization, pruning, distillation)
• Familiarity with FAISS or similar vector search systems
• Experience with optimization libraries for geometric problems (bundle adjustment, pose refinement)
• Understanding of real-time constraints (latency, memory, CPU inference budgets on ARM or low-power x86 systems)

We’re building an internal platform for AI agents that take on real work across the company, from operations to finance and HR. The first version is already running. We’re looking for an engineer to take it to production, grow it, and own it.

Responsibilities

• Take the platform to production. Turn the agent studio from a working prototype into a stable product the company relies on, and own its architecture
• Build the core infrastructure. Develop the LLM gateway, the connector service, and support for skills and MCP, so agents can use models, tools, and business systems safely
• Grow the connector library. Add and maintain connections to the systems our teams work in, starting with what Operations needs most
• Run the software factory. Keep the AI coding agents shipping routine tasks and bug fixes, and improve how work flows through it
• Keep it secure and reliable. Own access control, SSO, audit, monitoring, and on-call for everything you build
• Work with the people who use it. Onboard new users, support the business analysts who build agents, and turn their feedback into the roadmap

Required Skills & Experience

• Experience shipping production systems and being on call for them
• Strong TypeScript skills
• Hands-on experience building with LLMs beyond the demo: agents, tool calling, and evals
• Solid understanding of security fundamentals: access control, SSO, and audit
• Drive for ownership and the ability to do your best work where there’s no playbook yet

Nice to Have

• Experience with durable workflow engines
• Experience building no-code or workflow builders
• Security or compliance work on AI systems

We offer:

• Official employment in accordance with Ukrainian labor law.
• Military service deferment.
• Modern working equipment.
• Regular performance reviews to support your professional growth.
• 24 working days of paid vacation annually.
• Paid sick-leaves.
• English language classes.
• Compensation for educational and training programs.
• Team buildings and corporate events in a friendly and collaborative environment.

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

We are seeking a Senior Snowflake Developer who will be responsible for designing, developing, and maintaining scalable data solutions that effectively meet the needs of our organisation.

The role will serve as a primary point of accountability for the technical implementation of the data flows, repositories and data-centric solutions in your area, translating requirements into efficient implementations.

• Responsibilities:

  • Design and work with Snowflake databases, schemas, views, and RAW, STG, and MART data layers.
  • Manage access using RBAC, role hierarchies, row-level security, and column-level access policies.
  • Work with dynamic tables, external stages, Snowpipe, and batch data loading.
  • Build and support reliable, production-grade Snowflake data pipelines.
  • Write optimised SQL queries for data extraction, transformation, and loading.
  • Utilise Python for advanced data processing, automation tasks, and system integration.
  • Be an advisor with your In-depth knowledge of Snowflake architecture, features, and best practices.
  • Develop and maintain complex data pipelines and ETL processes in Snowflake.
  • Collaborate with data architects, analysts, and stakeholders to design optimal and scalable data solutions.
  • Automate DBT Jobs & build CI/CD pipelines using Azure DevOps for seamless deployment of data solutions.
  • Ensure data quality, integrity, and compliance throughout the data lifecycle.
  • Troubleshoot, optimize, and enhance existing data processes and queries for performance improvements.
  • Document data models, processes, and workflows clearly for future reference and knowledge sharing.
  • Build Data tests, Unit tests and mock data frameworks
  • Good to have AWS and Streamlit knowledge

• Mandatory Skills Description:

  • Master’s degree in computer science, Information Technology, or a related field.
  • 5+ years of overall experience in data engineering, including relevant and hands-on expertise in Snowflake and DBT.
  • Extensive hands-on experience in writing complex SQL queries, demonstrating proficiency in data manipulation and analysis for large data volumes.
  • Strong understanding of data warehousing concepts, methodologies, and technologies with in-depth experience in data modelling techniques (OLTP, OLAP, Data Vault 2.0)
  • Experience building data pipelines using DBT (Data Build Tool) for data transformation.
  • Familiarity with advanced techniques for performance tuning methodologies in Snowflake including query optimization.
  • Strong knowledge with CI/CD pipelines, preferably in Azure DevOps.
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Strong communication, collaboration, and interpersonal skills.

United Tech is a global IT product company shaping the future of real-time social connection.

With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking.

Our platforms enable connection at scale fast, interactive, and deeply engaging.

The market is projected to exceed $206B by 2030, and we are already leading the evolution.

Founded in Ukraine, scaling worldwide. Are you in?

About the role: This is a role for a leader who thrives in a fast-moving product environment, where challenges fuel growth and every decision shapes the future. With United Tech you will have the freedom to design, build, and re-engineer processes from the ground up, working side by side with a team that values initiative, knowledge sharing, and bold goals. Your ideas will directly influence revenue, and you will see the tangible results of your work reflected in key financial metrics. We move fast, we cut through bureaucracy, and we take on complex challenges that push both personal and professional boundaries, limited only by the scale of your ambitions

In this role, you will

• Build, scale, and develop the Machine Learning team, including hiring, mentoring, and performance evaluation
• Define and execute a Machine Learning strategy aligned with business priorities, and plan the department’s roadmap
• Identify and drive new ML initiatives
• Analyze existing algorithms and define the best ways to improve them
• Prioritize initiatives based on business impact (ROI, time-to-market)
• Oversee the full lifecycle of ML projects, from problem formulation to deploying models into production, ensuring execution and quality of results
• Stay hands-on: contribute directly to the implementation of key ML projects
• Provide regular reporting to stakeholders on a weekly, monthly, and quarterly basis
• Collaborate closely with product managers, analysts, engineers, and C-level executives

It’s all about you

• Proven ability to implement best practices in Data Science: reproducibility, A/B testing, ML monitoring
• Strong track record in maintaining model quality (performance, drift, latency)
• Advanced Python skills (pandas, sklearn, numpy, xgboost; pytorch/tf is a plus)
• High-level SQL expertise (large datasets, query optimization)
  Hands-on experience with ML pipelines, orchestration (Airflow, Prefect), and monitoring (Evidently, MLflow, Prometheus)
• Experience with GCP
• Solid understanding of A/B testing, causal inference, and statistics
• Familiarity with architecture fundamentals (API, data pipelines, microservices — integration level)
• Cloud experience with AWS or Azure
• Knowledge of distributed computation tools (e.g., Spark, CloudRun)
• Proven track record with generative AI/NLP model deployment
• Experience in startups or high-growth companies
• Publications, conference speaking, achievements on Kaggle, or open-source contributions

Would be a plus

• Experience optimizing company processes through AI solutions
• Implementation of AI tools across departments (development, support, marketing, etc.)

What we offer

Care and support:

• 20 paid vacation days, 15 sick leave days, and 6 additional days off for family events
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Maternity Recovery Support Allowance
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Modern equipment or depreciation of your own tools

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
• AI is an integral part of our work culture. We invest in modern AI tools, equip our teams with the skills to use them effectively, and foster an environment where technology helps people achieve better results faster
   

Hiring process

• Intro call
• Technical Interview
• ML System Design Interview
• Final Interview
• Reference check
• Offer

Gamzix is a high-growth international licensed iGaming provider, creating high-performing games and scalable, cutting-edge solutions for the global market.
Our team of 150+ specialists operates globally, with Warsaw as our main hub office. We are driven by continuous improvement and a people-first culture where we communicate openly, win together, and truly enjoy the game we’re building.
We operate under an MGA B2B Critical Supply License and certifications from iTechLabs and GLI, ensuring our products meet high standards of quality, compliance, and performance across markets.

We are looking for a Game Mathematician to create, calibrate, deeply tune, and validate mathematical models for our slot games. We are scaling our mathematical department to transition to a dedicated structure, assigning one dedicated mathematician to each of our game streams. 

Responsibilities

• Develop and design mathematical models for slot games from initial concept to release
• Collaborate closely with Game Producers to refine, balance, and tune game concepts
• Validate, simulate (alongside simulation developers), and sign off on mathematical models to ensure they perform strictly as intended
• Troubleshoot with engineers on the precise technical implementation and integration of math models
• Maintain structured documentation and records of game math files, configurations, and simulation benchmarks
• Provide expert math support and clear explanations for game designers, engineers, compliance, and other internal teams
• Deliver early feedback and predictions on player engagement based on the game's mathematical profile
• Design and propose original features and mathematical solutions for diverse game mechanics
• Analyze BI performance data of live games to continuously tune and optimize mechanics based on real metrics
• Mentor and support junior team members, guiding them through technical decisions during math creation

Requirements

• 2–3 years of practical commercial experience creating mathematical models specifically for slot games (experience in game providers, dedicated slot studios, or outsource)
• Deep knowledge of probability theory, combinatorics, RTP calculation, volatility, and mechanics balancing
• Proficiency in specialized mathematical modeling tools, simulation software, and working with math files
• Hands-on experience with Python and C# for calculations and simulations
• Experience working with BI analytics to evaluate product performance
• Perfectionism and strong attention to detail: a drive to bring models to perfection, deeply tune, and polish the math
• High level of autonomy with the ability to conduct calculations and manage your workflow independently without micromanagement
• Solid communication skills for regular dialogue with the Game Producer and the wider team

Benefits

• 7-hour working day, 10:00 AM—6:00 PM, including a lunch break
• A-class office in Mokotów, Warsaw
• Competitive salary in the IT field, with taxes paid
• 10 days of paid sick leave
• 28 days of paid vacation: 18 days plus 10 additional days separately
• Paid state holidays
• Medical insurance
• Courses and training reimbursement
• Referral bonus for bringing talented people to the team
• Corporate English courses: business or general English, with morning and evening schedules
• People-oriented company with a focus on work-life balance
• Open and friendly communication
• Corporate team-building events and activities

Please note that feedback on your application will be provided within two weeks if a positive decision is made regarding your candidacy.

About Keymakr
We take care of all aspects of Data Set Preparation, Annotation, and Labeling for video and images.
We adhere to a personalized approach, providing a tailored solution for each of our clients.
Our brilliant in-house R&D team personalizes the annotation tools for each client based on their needs, so we can successfully tackle even the most complicated requirements the client might have.
Use cases: Self-driving cars, Facial Recognition & Security, Medical Annotations, Drones, Robotics, and any industry you can think of.

We are seeking a Solution Engineer to develop technical solutions for data annotation projects, implement AI tools, and automate workflows.

In this role, you will work with Computer Vision and NLP/LLM technologies, helping to improve the efficiency, quality, and profitability of projects.

Key Responsibilities

1. Technical support for POCs: setting up tools and workflows, validating data and results, identifying and resolving technical issues during pilot project launches.
2. Research and implementation of AI tools: finding and testing data annotation platforms, setting up pre-annotation and model-assisted labeling, working with SAM and YOLO models, and evaluating their effectiveness.
3. Development of AI solutions and automation: creating scripts, bots, and small applications using Claude, ChatGPT, and similar AI tools; automating data processing, validation, and conversion; integrating services via API; supporting the Rocket.Chat bot. Technical project support: solving non-standard problems in 2D/3D Computer Vision, video annotation, and NLP/LLM, configuring platforms, and assisting project teams.
4. Testing and optimization: verifying solution functionality, finding errors, preparing bug reports and requirements for Keylabs improvements, and finding ways to reduce labeling time and costs.
5. Documentation and training: preparing technical instructions, developing a knowledge base, and training colleagues on new tools and processes.

What we expect

1. Understanding of data labeling processes for Computer Vision (2D/3D) and NLP/LLM.
2. Analytical thinking, initiative, and the ability to independently learn new technologies and tools.
3. Practical experience solving problems using Claude, ChatGPT, or similar AI services.
   Basic knowledge of Python and API principles.
4. Understanding of JSON, XML, CSV, COCO, and YOLO data formats.
5. Understanding of pre-annotation and model-assisted labeling principles.
6. Software testing skills, error detection, and result validation.
7. Experience with data annotation platforms such as Keylabs, CVAT, Labelbox, SuperAnnotate, or similar solutions.
8. Ability to structure information, create technical documentation, and clearly describe technical issues.

Important: Commercial development experience and the ability to write code from scratch are not required. Logical thinking, confidence in using AI tools, the ability to independently understand technical problems, and bring solutions to a working state are key.

Experience with fine-tuning models is an advantage.

1. Proficiency in Docker.
2. Experience with LiDAR and point clouds.
3. Prompt engineering and LLM response validation skills.
4. English proficiency sufficient for reading technical documentation and communicating with international clients.

Working Conditions

1. Salary: UAH 30,000 gross.
2. Fully remote work.
3. Flexible schedule.
4. Opportunity to work with modern AI tools and participate in the development of technical solutions for real-world projects.
5. Opportunity for professional development in AI, Computer Vision, NLP/LLM, and process automation.

We look forward to welcoming you to our team!

Project Description:

Join our Development Centre in Bucharest and become a member of our open-minded, progressive and professional team. In this role you will be working for one of our world-famous clients.

The Chief Security Office (CSO) of our client comprises the Chief Information Security Office (CISO) and the Corporate Security unit. The CISO organization guarantees information security for our client.

The role resides inside the Cyber Hygiene Engineering team within CSO. The team is responsible for developing and maintaining security solutions that improve the organization's security posture through automation, cloud security, vulnerability management, and application security.

We are looking for a Python-focused AI and data science engineer to help design, build, and improve practical AI automation workflows. This role is suited for someone who can combine strong software engineering discipline with applied machine learning, data analysis, and LLM-based tooling.

On top of attractive salary and benefits package, Luxoft will invest into your professional training, and allow you to grow your professional career.

Responsibilities:

• 4-5 years+ of experience

• Design, build, and maintain Python-based AI workflows, evaluation harnesses, and automation tools.

• Work with LLMs, AI agents, prompt pipelines, embeddings, and retrieval-augmented generation.

• Analyze structured and unstructured data to support automation, decision-making, and model evaluation.

• Create datasets, validation sets, benchmarks, and evaluation metrics for AI-assisted workflows.

• Integrate AI tools with existing business processes, internal data sources, and developer workflows.

• Improve reliability, observability, and repeatability of AI outputs.

• Document technical decisions, workflows, and assumptions clearly.

Mandatory Skills Description:

• Strong Python experience, including clean scripting, packaging, testing, and data processing.

• Practical experience using LLM APIs, AI agents, prompt engineering, or AI automation frameworks.

• Ability to design experiments, evaluate model outputs, and interpret results.

• Familiarity with notebooks, Git, virtual environments, and reproducible development workflows.

• Good software engineering habits, including tests, readable code, version control, documentation, and maintainability.

• Ability to turn ambiguous business or workflow problems into concrete technical prototypes.

Nice-to-Have Skills Description:

• Experience in a multinational environment would be a plus

ZentixSoft is looking for a Hands-on Technical Lead / Data Architect! 🚀

Format: Full-Time Outstaffing, 13-week engagement (First 3 weeks 100% on-site in Riyadh, followed by a hybrid schedule) with long-term extension options.

Location: Riyadh, Saudi Arabia (Open to candidates in KSA or willing to relocate).
 

🧩 Responsibilities:

• Architecture & Hands-On Engineering: Design HLD/LLD for Lakehouse architectures (raw, standardized, curated layers), Customer 360 target data models, and source-to-target mappings from Oracle Data Warehouses and Data Lakes while writing production SQL and Python code.
• GCP Infrastructure & Pipeline Ownership: Build and review pipelines using Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Cloud Run/GKE, Airflow, dbt).
• Identity Resolution & Quality: Implement deterministic/probabilistic matching rules, data quality frameworks, reconciliation, and lineage metadata.
• BI & Enterprise Integration: Build Power BI semantic models with Row-Level/Object-Level security, embed reporting into Dynamics 365, and set up AI-ready foundations (Vertex AI / BigQuery ML).
• Security & Compliance: Enforce security by design, encryption, audit logging, and KSA PDPL data residency standards.
   

🎓 Our Perfect Match (Requirements):

• Data Engineering & Architecture: 10+ years in Data Engineering/Architecture, with 3+ years of hands-on experience on Google Cloud Platform (GCP).
• Production Tooling: Proven production experience with BigQuery, Airflow, dbt, SQL, and Python.
• Domain Expertise: Strong background in Insurance or Banking data domains (policies, claims, customers, providers).
• Team Leadership: Experience leading technical teams of 6–8 engineers while maintaining hands-on contribution.
• On-Site Presence: Available for the first 3 weeks 100% on-site in Riyadh, transitioning to a hybrid setup afterwards.
   

➕ Nice to Have:

• Experience with restricted-data zones (e.g., medical data regulations).
• Hands-on knowledge of BigQuery ML, Gemini, or Vertex AI.
   

📍 Project Details:

⏳ Duration: 13 weeks + long-term extension.

📍 Location: Hybrid Riyadh (First 3 weeks full-time on-site).