Jobs

About Fintech Farm

We are a UK fintech creating successful neobanks in emerging markets in partnerships with local traditional banks.

Our success builds upon a best-in-class product, customer experience, emotional engagement, viral marketing, and deep credit decisioning expertise.

One of our founders had previously co-founded a highly successful Eastern European neobank with a multi-million customer base.

We launched our first market with Leobank in Azerbaijan in 2021, where we have already established market-leading positions. Our next market was Vietnam, where we launched Liobank in early 2023 and also gained solid traction.

We have a few more new markets in the pipeline for the next 12 months, and we are starting to build the team there.

Why Fintech Farm is a great place to be

Our ambition. We are looking to become a leading consumer digital bank brand in each market we operate making it easy for consumers to interact with their money. You could be a part of this exciting journey.

Our culture.

Customers. We always go above and beyond to provide an amazing customer experience. We serve our customers the way we would want our mom to be served. And who said that banking has to be boring? We make our apps not just easy but fun to use.

People. We are all business partners in our company. Each of us thinks big, acts as if we own the place, and never takes “No” as an answer. We work with strong individuals whom we empower and trust rather than micromanage. Common sense rather than formal policies prevails in all that we do. We always stay curious and open-minded. We embrace the We over Me culture.

Responsibilities:

• Develop and implement risk-scoring models to assess client creditworthiness, including both application and behavioral models.
• Perform feature engineering processes to enhance the quality and efficiency of predictive models.
• Analyze data to identify new opportunities and trends that can be utilized to improve scoring models.
• Collaborate with development teams and business analysts to integrate models into business processes.
• Monitor and analyze the performance of models in production, and propose and implement improvements.

Requirements:

• 2 to 4 years of experience in Data Science, with proven experience in building scoring models.
• Deep knowledge and practical experience in machine learning and statistical analysis.
• Experience with the Python programming language and libraries for data processing and machine learning (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
• Skills in feature engineering and model selection for solving specific tasks.
• Ability to analyze large volumes of data and turn analytical insights into concrete actions.
• Experience with SQL and databases.
• Ability to work independently and as part of a team, as well as interact with non-technical colleagues.

What we are offering

• Competitive salary negotiable depending on the candidate’s level
• Share options
• We are still a start-up and more benefits are on the way

🚀 Join RiskSeal as a Credit Risk Analyst!
 

This is a remote position. We are looking for a Credit Risk Data Scientist to enhance our credit risk models and explore innovative ways to use our data. The ideal candidate will have a strong analytical mindset, a deep understanding of credit risk modeling, and experience with data-driven decision-making. This role is crucial in testing, improving, and iterating on our risk assessment methodologies.
 

Responsibilities

• Design, build, and fine-tune credit risk models to improve prediction accuracy.
• Continuously explore new methodologies and data sources to enhance borrower risk assessments.
• Conduct A/B tests, backtesting, and performance evaluations of models.
• Work closely with development teams to deploy and maintain models in production.
• Develop and track key performance metrics related to credit risk.
• Stay up-to-date with the latest advancements in credit risk modeling and machine learning.
• Communicate insights and findings to internal teams and clients.
   

Requirements

• 3+ years of experience in credit risk modeling, data science, or a related field.
• Strong proficiency in statistical modeling, machine learning, and predictive analytics.
• Hands-on experience building credit risk models (PD, LGD, scorecards, alternative data).
• Proficiency in Python, SQL, or similar tools for data analysis and model development.
• Experience working with financial data and alternative credit scoring techniques.
• Ability to translate complex analytical insights into actionable business strategies.
• Strong problem-solving skills and attention to detail.

📩 Ready to Join?
Send your resume, and let’s achieve great results together! 

What We Offer

• A high-impact role in a fast-growing fintech startup.
• The opportunity to shape the future of alternative credit scoring.
• A flexible remote work environment with a focus on results.
• Competitive salary and benefits package.
• A chance to work with a team of passionate professionals in a rapidly evolving space.

Job Description

• Strong knowledge and proven experience with Machine Learning, Computer Vision and Deep Learning;
• At least 4 years of commercial experience in a related field;
• Self-manageable person, able to work with minimum supervision;
• Technically strong with Python, knowledge of any other programming language will be a plus;
• Proficiency with numpy, scipy, opencv, tensorflow;
• Proven ability design and implement complex algorithms, to work creatively and analytically in a problem-solving environment;
• Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or a related field;
• Strong communication and presentation skills for effective daily communication.

Job Responsibilities

GlobalLogic team has been involved for many years into development, deployment and support of many different areas of the solution. We are now looking for a talented Computer Vision engineer who will join our existing team and help us to grow existing capabilities of the product and add support for new sport types.

Part responsibilities will include

• Active participation in business promotion and grow by proposing new and/or non-standard ideas;
• Apply Machine Learning and Computer Vision technology to solve real problems for the market available product;
• Work on a new algorithm of determining players performance, score identification and others;
• Demo your work to team members and customer.

Department/Project Description

A product is an affordable alternative to traditional broadcast video capture system. We provide a full broadcasting solution for amateurs, broadcasters, sports leagues, clubs, coaches and consumers, offering unique, interactive and immersive viewing experiences.

The AI-based automated production solution provides the sports market with easy and affordable ways to produce and distribute high-quality game, player videos and performance analysis. The system consists of a unique panoramic camera head and standard computers running proprietary algorithms for Panoramic and HD video and camera control.
 
Giving an editing platform for multiple types of athletic events we establish the first end-to-end automated video and data solution in the sports industry. The product revolutionizes sports video with an automated online video editing system that enables coaches to simply and easily access game video break downs, saving them time and hassle. Our range of products include game analysis, game exchange, and video replay. We support all major team sports and caters to every level from youth, high school, college, through professional.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe

About the client:
Our client is the go-to enterprise decision intelligence platform to drive better, faster decision-making across your organization, turning decision-making into a competitive advantage.

The company's platform helps teams scale great decisions by streamlining decision processes, automating recommendations with AI, and improving collaboration. The company is the only system of record to track, learn from and improve on your most critical commercial decisions.

About the role:
We are seeking an experienced and innovative Data Scientist to join the team, with a primary focus on automating decision-making processes in a wide range of areas of business.

The candidate will be responsible for the development of backend modules for Decision Intelligence assistants and AI agenetic systems. You will use advanced analytics and machine learning techniques, predictive analytics and big data tools to develop and implement solutions for automated analysis of structured and unstructured data to generate natural language insights, recommendations and decision recommendations.

Requirements:
- 3+ years of relevant experience as a Data Scientist.
- Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Strong proficiency in Python and familiarity with data analysis and ML libraries (such as Pandas, NumPy, Scikit-learn, SciPy, Stats models, TensorFlow, PyTorch etc.).
- Familiarity with SQL and NoSQL databases, GitHub tools and A/B testing frameworks is a big plus.
- Good understanding of time series analysis and forecasting methods.
- Strong problem-solving skills and a strategic mindset.
- Excellent communication skills, with the ability to explain complex concepts to diverse audiences.

Would be a plus:
- Experience using BI tools (Tableau, Power BI etc.) and Marketing mix modeling skills (especially in CPG).
- High energy, a passion for learning, and a genuine interest in revolutionizing enterprise decision-making through AI.

Responsibilities:
- Work with a team of AI experts, data scientists, engineering team, business analysts and market researchers to create solutions helping companies make strategic business decisions through providing insights and recommendations.
- Identify valuable data sources and automate ETL processes of structured and unstructured data.
- Analyze large and complex datasets from various sources to discover trends, patterns, anomalies and uncover actionable insights.
- Develop and deploy machine learning models and predictive algorithms for automated data analysis, generation of recommendations, and decisions.
- Design and implement systems for real-time decision-making in areas such as current state analysis, business recommendations, and process optimization.
- Continuously evaluate and fine-tune algorithms to improve accuracy, scalability, and performance.
- Collaborate with decision success, engineering, and product development teams.
- Present complex analytics and outcomes to non-technical stakeholders in a clear and actionable manner.

The company offers:
- Competitive salary and work equipment allowances.
- Flexible work schedule and paid personal time off.
- Collaborative team culture with cross-functional exposure to engineers, analysts, and business stakeholders.
- Opportunities for professional growth and learning.

Description

As a Computer Vision Engineer, you will join a mature and senior team dedicated to developing cutting-edge computer vision solutions for medical applications. Our projects range from advanced image processing to real-time vision systems, contributing to fields like medical devices, robotics, autonomous vehicles and others. We emphasize technical excellence and offer a stimulating environment that encourages innovation and professional growth.

Requirements

3+ years of experience in computer vision or related fields.
Strong knowledge of machine learning/deep learning.
Hands-on experience with object detectors, instance segmentation, keypoint/pose detection, RNNs/Transformers (computer vision in time domain), tracking algorithms.
Proficiency in programming languages such as Python and C++.
Extensive experience with computer vision libraries and frameworks like PyTorch, and OpenCV.
Familiarity with image processing techniques and annotation tools.
Experience with hardware integration for vision-based systems.
Good understanding of best practices of software development (code reviews, TDD, Git, etc.)
Advanced English (written and verbal) for daily communication with the customer.
Efficiency in remote development on Linux (VMs, on-premise machines).
Would be a Plus:
Understanding of real-time processing and optimization.
Experience with edge AI deployment.
Experience with optimization and inference libraries (ONNX, TensorRT, OpenVINO, etc.).
QNX or Linux development.
Experience in medical computer vision.
Experience in managing huge volumes of visual data.
Ability to leverage advanced nVidia ADA GPU features to speedup training and inference.
Experience with CPU and GPU profiling (nVidia nsight, cProfile)

Job responsibilities

Contribute to the design, development, code review, and testing of computer vision algorithms and systems.
Develop new features and improve existing functionality in vision-based projects.
Work on the integration of computer vision solutions with third-party tools and hardware.
Collaborate with cross-functional teams to deliver high-quality, compliant products.
Stay updated with the latest advancements in computer vision and machine learning technologies.

Project Description: 

We are looking for a Data Scientist / Machine Learning Engineer to develop and implement an ML solution that predicts key business metrics for fitness studios (sales, visits, contract signings, customer indicators) based on historical data. The project will be deployed on AWS.

iKizmet (www.ikizmet.com) is a fast-growing analytics software company specializing in the health and fitness industry. We are integrated with the largest POS and Scheduling platforms in our industry and our client list has some of the largest brands in the boutique fitness space. 

Job Title: Data Scientist / ML Engineer (AWS) for Fitness Studio Business Forecasting Project

Responsibilities: 

• Analyze data from fitness studios: sales, visits, contracts, and customer data. 

• Build end-to-end ML pipelines (data preprocessing → model training → testing → deployment → monitoring). 

• Develop forecasting models (regression, classification, time series). 

• Implement data pipelines and ML workflows on AWS (SageMaker, S3, Glue, Lambda). 

• Set up model performance monitoring and reporting. 

• Prepare reports and visualize results for business stakeholders. 

• Collaborate with team members and stakeholders to align tasks and communicate results. 

Requirements: 

• 3+ years of experience as a Data Scientist / ML Engineer. 

• Strong Python skills (pandas, numpy, scikit-learn, PyTorch or equivalent). 

• Experience with ETL pipelines and working with large datasets. 

• Hands-on experience with time series, regression, and classification models. 

• Proven experience with AWS: SageMaker, S3, Glue, Lambda, CloudWatch. 

• Proficiency in SQL. 

• Ability to clearly explain technical solutions to business stakeholders. 

• English proficiency (Intermediate or higher) for working in an international environment. Nice to have: 

• Experience building BI dashboards (e.g., AWS QuickSight, Power BI, Tableau). 

• MLOps and CI/CD experience. 

We offer: 

• Work on a real-world ML project with impactful business data. • Collaboration with an international team. 

• Flexible schedule, fully remote work. 

• Opportunities for learning, professional growth, and career development. 

Working hours: 11 AM - 7 PM CET

Please let me know if you are interested in our offer.

Hello! We, VMK GROUP, are a young and successful IT company.
We started in 2022, a difficult year for Ukraine, so we are happy to join the companies that support the economy of our country!

Today, our company encompasses three primary divisions:

VMK Group - Software development
VMKhealth - Full-cycle pharmaceutical digital agency
VMKteam - IT recruiting and staffing.

Each division is represented by a team of experts specializing in technical and industry-specific matters. Currently, our projects are being developed not only in Ukraine but also internationally.

Our client is developing an AI-powered cost estimation calculator for construction projects. The current industry process involves multiple manual iterations between architects and estimators, costing a lot of money per iteration and taking up to 2 weeks. Their solution significantly reduces both time and cost by automating key steps.

About the role:

We are seeking a Data Scientist/ML Engineer with experience in RAG pipelines and browser-based AI models. You will work on integrating AI-driven cost estimation workflows, model building, and computational simulations—all within a browser-based environment.
 

Responsibilities

• Develop and optimize ML-powered cost estimation models.
• Implement RAG pipelines in a browser-based environment.
• Collaborate with developers to integrate AI components into the frontend.
• Work with real-world construction data to improve model accuracy.
• Optimize computational models for performance and efficiency.
   

Requirements

• 3+ years of experience in ML engineering or data science.
• Experience with RAG pipelines and in-browser ML/AI processing.
• Understanding of computational models for financial or engineering simulations.
   

What do we offer?

• Competitive compensation;
• Flexible work schedule;
• Remote work;
• Opportunity to communicate with experienced teams.
   

If you have such experience and are ready to work for quality and results, we will be happy to continue our communication. We are waiting for your resume.

Про компанію VMK GROUPDevelopment and support of creative technical solutions
More than 7 years of experience that helps building effective products and marketing strategies

PIN-UP Global is an international holding specializing in the development and implementation of advanced technologies, B2B solutions and innovative products for the iGaming industry.

Our holding is represented in seven countries (Cyprus, Ukraine, Poland, Kazakhstan, Armenia, Peru, Malta). The headquarters of the holding is located in Cyprus.

We are looking for a Data Scientist to join our team!

Requirements:

- Proven experience in analysis of large amount of data;

- Experience in solving customer behavior prediction tasks;

- Knowledge of ML algorithms for regression, classification, clustering, ability to apply them to business problems;

- Solid experience in SQL;

- Extensive experience with Python for data processing, modeling, and visualization;

- Deep understanding of statistics, probability theory;

- Passion to drive projects from R&D to business value.

Will be plus:

- Familiarity with AWS infrastructure and toolchain (SageMaker, CloudFormation, CloudWatch, etc.);

- Familiarity with BI tools (Metabase, Tableau);

- Experience with tools for managing ML workflows;

- Knowledge and experience with algorithms and data structures;

- Knowledge of OOP;

- Understanding of containerization technologies (Docker);

- Participation in Kaggle competitions.

Responsibilities:

- Developing and testing machine learning models for customer behavior prediction, deploying to production;

- Working with tabular data collecting, cleaning, and exploring datasets, building ML pipelines;

- Applying statistical methods to analyze and interpret data, finding patterns, insights to improve quality of models;

- Maintaining existing models;

- Communicating and presenting results.

Benefits:

🍀 An exciting and challenging job in a fast-growing product holding, the opportunity to be part of a multicultural team of top professionals in Development, Engineering and Architecture, Management, Operations, Marketing, etc;

🤝 Great working atmosphere with passionate IT experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;

📍Beautiful offices in Limassol, Warsaw, Almaty, Yerevan — work with comfort and enjoy the opportunity to build a network of connections with IT professionals day by day;

🧑‍💻 Laptop & all necessary equipment for work according to the ecosystem standards;

🏖 Paid vacations, personal events days, days off;

🫖 Paid sick leave;

👨‍⚕ Medical insurance;

💵 Referral program — enjoy cooperation with your colleagues and get a bonus;

📚 Educational support by our L&D team: internal and external trainings and conferences, courses on Udemy;

🦄 Multiple internal activities: online platform with newsletters, quests, gamification, and presents for collecting bonuses, PIN-UP talks club for movie and book lovers, board games cozy evenings, special office days dedicated to holidays, etc;

🎳 Company events, team buildings.

Шукаємо Data Scientist, що працюватиме з R&D, регресіями та табличними даними, zero-to-one продуктом на глобальному ринку. Вплив на алгоритми та бізнес, експерименти без обмежень. Топові умови, повний ремоут. 

Main Responsibilities:

– Be responsible for DS-ML-related solutions developed by all Service and Delivery(SnD) squads: maintenance and improvement of existing solutions; design, development, and implementation of new solutions

– Provide technical leadership for other SnD DSs

– Test developed algorithms, work with the SnD team within UAT, adapt, and reach DOD and DOR

– Verify key tasks done by SnD DS, such as model training and AB test design

– Conduct code reviews for DS-ML-related solutions

– Automate DS work in SnD.Develop data requirements for SnD implementation projects

– Cooperate with IM and DE to achieve and maintain the optimal dataset configuration according to DS-ML needs

– Measure solution stability, quality, and effectiveness; transparently communicate the current state of things to other roles/teams, and suggest and implement improvements

– Regularly collaborate (provide prototypes/ideas/detailed feature requests) with RnD Teams on tools for SnD

Mandatory Requirements:

– A minimum of 3 years of experience in data science or a related field

– Proficiency in SQL for data manipulation and extraction

– Strong Python skills, capable of writing modular and readable code for experiments and prototypes

– A solid mathematical background, preferably in a Computer Science-related field

– Proficiency in the scientific Python toolkit, including NumPy, pandas, scikit-learn, and either Keras/TensorFlow or PyTorch

– Familiarity with Time Series Forecasting approaches

– Experience in statistical testing methodologies, including A/B testing

– At least 3 years of experience working with tabular and mixed (multimodal) data (e.g., tabular data combined with text, audio, or images).

– Upper-intermediate or higher level of English (for future communication with clients and user interviews)

Soft skills

– Analytical mindset and strong critical thinking abilities

– Leadership skills to efficiently organize the data team (Data Scientists, Data Engineers, Data Analysts)

– Agile approach, with the ability to experiment and test hypotheses in an unstable business environment

– Business-oriented mindset, able to translate complex models into simple business language

– Excellent presentation skills, capable of communicating complex ideas effectively

– Curiosity and a commitment to continuous learning within the domain

– Strong team player, able to collaborate effectively with cross-functional teams

We offer:

– Rich innovative software stack, freedom to choose the best suitable technologies

– Remote-first ideology: freedom to operate from the home office or any suitable coworking

– Flexible working hours (we start from 8 to 11 am) and no time tracking systems on

– Regular performance and compensation reviews

– Recurrent 1-1s and measurable OKRs

– In-depth onboarding with a clear success track

– Competera covers 70% of your training/course fee

– 20 vacation days, 15 days off, and up to one week of paid Christmas holidays

– 20 business days of sick leave

– Partial medical insurance coverage

– We reimburse the cost of coworking

FAVBET Tech develops software that is used by millions of players around the world for the international company FAVBET Entertainment.
We develop innovations in the field of gambling and betting through a complex multi-component platform which is capable to withstand enormous loads and provide a unique experience for players.

 

About the Role:

We are looking for a Data Scientist to join our growing team. In this role, you will work closely with the marketing, product, and engineering teams to deliver data-driven insights and build end-to-end machine learning solutions that support strategic decisions and product enhancements.

Responsibilities:

• Work on one of the following projects: User segmentation, Lifetime Value (LTV) prediction, Churn prediction.
• Collaborate with marketing and product teams to understand business needs and deliver data-driven solutions.
• Analyze large-scale datasets to uncover actionable insights that drive business and product outcomes.
• Build, validate, and deploy machine learning models to solve real-world problems.
• Partner with engineering teams to ensure access to reliable data sources and develop robust feature pipelines.
• Design and conduct A/B tests to measure the impact of new features and changes.
• Present analytical findings and model results clearly to business stakeholders.

Required Qualifications:

• Minimum of 2 years of experience as a Data Scientist or ML Engineer.
• Proficiency in Python, including libraries such as sklearn, lightgbm, keras/pytorch/jax.
• Proficiency in SQL, including writing complex queries.
• Hands-on experience designing, running, and interpreting A/B tests.
• Experience with version control systems such as GitHub, GitLab, or Bitbucket.

Nice to Have:

• Experience with cloud data platforms, ideally AWS.
• Familiarity with Docker or other containerization tools.
• Understanding of MLOps fundamentals and best practices.

We offer:

• 30 days off — we value rest and recreation.
• Medical insurance for employees and the possibility of training employees at the expense of the company and gym membership.
• Remote work or the opportunity — our own modern lofty office with spacious workplace, and brand-new work equipment (near Pochaina metro station).
• Flexible work schedule — we expect a full-time commitment but do not track your working hours.
• Flat hierarchy without micromanagement — our doors are open, and all teammates are approachable.

We are elai.io, an innovative AI-driven startup specializing in video generation.

Recently acquired by Panopto — a leader in interactive video solutions — we’re now part of a growing team of around 200 professionals focused on advancing learning through powerful, interactive video technology.

What You’ll Do as a Computer Vision Engineer:
1. Research, design and implement appropriate computer vision algorithms for the main product (generating video);
2. Research, find and use appropriate datasets;
3. Define quality metrics, run machine learning experiments, and analyse results;
4. Be on top of industry trends, research and propose new technologies.

Our ideal candidate has:
1. post-doc, PhD or Master’s degree in Computer Science or similar field;
2. proven experience as a Machine Learning Engineer or similar role;
3. deep knowledge of maths, probability, linear algebra, computer vision and algorithms;
4. 3+ years of experience with Python;
5. 2+ years of experience with PyTorch (TensorFlow experience is a plus);
6. familiarity with state of the art networks, architectures and models in computer vision area (like UNet, Resnet, GAN, Transformers, Diffusion Models, NeRF, etc.);
7. experience in deploying machine learning algorithms in production Base knowledge: git, docker, linux, bash;
8. experience in 3d graphics or game development would be a great plus.

We offer:
1. Opportunity to work with a highly qualified international and friendly team
2. Decent and timely payment fixed in USD
3. The most flexible work schedule, including remote work
4. Unlimited time off

About the company

VReal Soft is a Ukrainian IT company with 7 years of experience building custom software solutions, mobile apps, and web platforms for clients in the US, Israel, and Europe. We are currently opening a position for a Data Extraction Specialist, combining project work in the healthcare domain with the opportunity for long-term in-house collaboration.

Position Summary

We are looking for a skilled Data Extraction Engineer / Document Automation Developer to help build a system that automatically extracts structured information from various medical and immunization records and stores it in a structured database format.
You’ll be working with diverse document formats (PDFs, scans, electronic forms), using OCR and NLP-based tools to process them.

Your responsibilities:

• Analyze medical document templates to identify key fields
• Develop pipelines for automatic extraction of fields such as:
  • Student Full Name
  • Date of Birth
  • Sex/Gender
  • Vaccination Information (e.g. Type, Date, Dose, Clinic, Manufacturer)
  • Next Due Dates (calculated from context or intervals)
     
• Build and integrate document processing flows using OCR or NLP tools such as Tesseract, Azure Form Recognizer, Amazon Textract, etc.
• Validate and store extracted data in a structured database
• Ensure accuracy and integrity of parsed data
• Collaborate with development and QA teams to integrate the solution into the main platform
   

Requirements:

• Hands-on experience with OCR tools:
  Tesseract, AWS Textract, Azure Form Recognizer, Google Document AI
• Strong knowledge of .NET / C#, especially for parsing documents and data transformation
• Understanding of NLP techniques and Regular Expressions
• Experience transforming unstructured data into structured formats
• Solid understanding of databases and storage formats (e.g. JSON, SQL)
   

Nice to have:

• Experience in the healthcare or education domain
• Familiarity with ML/AI-based approaches to document processing
• English proficiency for reading documentation and written communication
   

What we offer:

• Opportunity to work on a meaningful healthcare-related product
• Potential for long-term in-house cooperation after the initial project
• Flexible working hours
• Support and mentorship from a technical team
• Comfortable office in Cherkasy, or remote work option
• Internal training and English language development
   

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 9 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the role:
We are looking for a Computer Vision Engineer to strengthen the team. The company is on a mission to make the world’s industrial environments safer with technology solutions, and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. The team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.

This role focuses on research-driven development of computer vision models. You will generate and validate hypotheses, run controlled experiments, and explore new approaches to improve model performance across tasks like detection, segmentation, and pose estimation.

Requirements:
- Bachelor's or Master's Degree in Computer Science or related field;
- Solid grasp of machine learning and deep learning principles, with a strong theoretical foundation;
- Proven R&D mindset: capable of formulating and validating hypotheses independently, exploring novel approaches, and diving deep into model failures;
- Strong experience in Computer Vision, including object detection, segmentation, tracking, keypoint/pose estimation;
- Proficiency in Python and deep learning frameworks such as PyTorch;
- Practical experience with state-of-the-art models, including YOLO (v5/v8) and Transformer-based architectures (e.g., ViT, DETR, SAM);
- Strong expertise in image and video processing using OpenCV;
- Strong understanding of model training, evaluation, and optimization.

Would be a plus:
- Experience with real-time video pipelines using FFmpeg and/or GStreamer;
- Experience with model compression and acceleration techniques: quantization, knowledge distillation, or TensorRT;
- Familiarity with AWS infrastructure, containerization (Docker), and MLOps best practices for reproducibility and deployment.

We offer:
- Employment Contract (Diia City);
- Good compensation;
- Benefit package;
- Strong team and career growth;
- Challenges every day!

We are seeking an experienced Machine Learning engineer with 3 to 5 years of professional experience to join us on a project focused on enhancing and extending a specific system within our platform. This role is suited for someone who can quickly adapt to an established architecture and contribute effectively to delivering high-quality, production-ready software. The emphasis is on hands-on development, technical documentation, aligned with current technical direction, not long-term design ownership or system re-architecture.

The Machine Learning team is responsible for developing and maintaining machine learning models. We are collaborative, action-oriented and passionate advocates of using ML/AI to solve customer problems. Our team operates with transparency and alignment, guided by scaled agile practices that promote continuous improvement.

We’re driven by values that shape how we work together every day:
Teamwork, ownership, accountability, proactivity, transparency, empathy, inclusivity, and a commitment to continuous learning and growth.


Job Description

• Solid experience in machine learning algorithms, including linear regression, SVM, decision trees, neural networks, and clustering, along with familiarity with best practices in the field.
• Solid experience in deep learning required especially training Natural Language Processing Models
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, Transformers, or scikit-learn.
• Practical experience working with and utilizing large language models (LLMs) and other GenAI technologies.
• Demonstrated ability to build and deploy ML models, design training pipelines, and support ML applications in production environments.
• Competent in building ML Pipelines using AWS services such as Bedrock and Sagemaker pipeline and model endpoints.
• Proficiency in SQL
• Fluent in English
   

Job Responsibilities

• Responsible for developing and maintaining machine learning models.
• Write clear, concise technical documentation to support ongoing maintenance and knowledge transfer.
• Actively participate in code reviews to maintain code quality and ensure adherence to established patterns.
• Quickly understand and navigate an existing codebase and system architecture, providing solutions aligned with current technical direction.
• Troubleshoot and resolve issues across the full stack of the assigned system.

Найпопулярнішому інтернет-магазину Rozetka.ua потрібен Machine Learning/Deep Learning Engineer з досвідом роботи.

ROZETKA — найбільший онлайн-ритейлер та один із найтехнологічніших e-commerce-проектів в Україні. Наша місія — бути універсальним помічником з вибору будь-якого товару в інтернеті.

ROZETKA побудована на мікросервісній архітектурі. Внутрішні продукти допомагають удосконалювати веб-сайт, автоматизувати роботу складів, поштоматів, служби доставки, фінансові та операційні процеси.

Також ми постійно тестуємо нові технології, стежимо за трендами, будуємо мікросервісну архітектуру, розвиваємо DevOps-практики. Гайда з нами!

Про проєкт: Комерційні ML проекти в Rozetka.ua — це сукупність продуктів, які створюються для підвищення ефективності бізнесу та поліпшення користувальницького досвіду. Вони ґрунтуються на глибокому аналізі даних та прогнозуванні трендів, що дозволяє оптимізувати процеси прийняття рішень та покращувати взаємодію з клієнтами. Такі проекти допомагають збільшувати конверсію, скорочувати витрати та нарощувати прибуток, забезпечуючи конкурентну перевагу на ринку.

ML продукти в Rozetka.ua зазвичай сфокусовані на аналізі та оптимізації обробки великої кількості (>10^7) об‘єктів, тому допомагають здійснювати швидке та точне прийняття рішень для формування закупівель, планування фінансових показників та розвитку асортименту, створювати персоналізовані пропозиції для кожного користувача, а також виявляти аномалії в даних.

Проєктні технології:

• дослідження: Python, Jupyter, PyTorch, HuggingFace;
• розробка: Python, Git;
• розгортання: Docker, Kubernetes, Vertex AI, FastAPI;
• бази даних: BigQuery, ClickHouse.

Зі свого боку ми пропонуємо:

• гідну та своєчасну виплату заробітної плати;
• можливість купувати товари ua за спеціальними цінами для співробітників;
• оформлення з першого робочого дня;
• оплачувана відпустка — 24 календарних дні на рік та оплачувані лікарняні;
• цікаві завдання, які дадуть Вам можливість розвивати і вдосконалювати Ваш потенціал;
• період адаптації у супроводі Тім Ліда, HR, PO;
• зручний графік;
• можливість працювати в офісі або віддалено (на вибір).

Чим потрібно займатися:

• проводити глибокий аналіз даних для досліджень, будувати гіпотези;
• робити feature engineering;
• робити preprocessing та postprocessing даних;
• досліджувати методи навчання та нові архітектури моделей;
• тренувати, налаштовувати та розгортати моделі;
• вдосконалювати, оптимізовувати існуючі підходи до вирішення задач;
• співпрацювати з іншими членами команди.

Що для цього потрібно:

• високий рівень програмування на Python (комерційний досвід не менше 3 років);
• обовʼязковий комерційний досвід розробки та впровадження рекомендаційних ML/DL моделей;
• досвід інженерії та валідації даних;
• досвід з впровадження моделей в продакшн;
• досвід навчання моделей з підкріпленням;
• фундаментальні знання машинного та глибокого навчання;
• розуміння циклу дослідження та розробки.

Буде плюсом:

• досвід роботи з великими комерційними даними;
• розуміння методів роботи з аналітичними, транзакційними та гібридними базами даних;
• науковий ступінь з комп‘ютерних наук або сумісної галузі.

Будемо раді Вам у команді ROZETKA. Не зволікайте і надсилайте резюме.

*Пересилаючи нам своє резюме, що містить персональні дані, Ви висловлюєте свою згоду на їх обробку, згідно з чинним законодавством України про персональні дані.