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

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

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!