Jobs

One of the world's largest fashion retailers selling in 215 markets through its online platform or its 6,477 stores in 95 markets. By working closely together as a single company globally focused on the key elements of fashion production – design, manufacture, distribution, and retail.

We are looking for a Data Scientist with a strong analytical mindset and a passion for solving real-world supply chain problems. You will join a cross-functional team focused on optimizing the flow of units from warehouses to stores. This is a high-impact role where your insights and models will directly influence key business operations.

Responsibilities:

• Prepare and clean datasets to enable reliable experimentation
• Develop and fine-tune machine learning models and algorithms
• Test models, analyze outcomes, and generate actionable insights
• Communicate findings to stakeholders through reports and visualizations
• Propose data-driven solutions and optimization strategies

Requirements:

• Proficiency in Python and/or R
• Experience with SQL
• Data Platforms & Tools
• Hands-on experience with Azure Databricks or Snowflake
• Familiarity with building and deploying machine learning pipelines is a strong advantage
• Java experience is a plus
• Education - Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related field

Mathematics & Statistics:

• Solid understanding of multivariable calculus and linear algebra
• Applied knowledge of statistical distributions and hypothesis testing
• Machine Learning
• Practical knowledge of ML techniques: kNN, decision forests, regressions, MLE, time series
• Understanding of model evaluation metrics and performance tuning
• Data Handling & Visualization
• Skilled in managing missing or inconsistent data
• Experience with tools like matplotlib, seaborn, or ggplot2

Nice to Have:

• Experience with deploying ML models into production environments
• Previous work in supply chain or logistics domains

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

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.

We are seeking an experienced Data Scientist to build data models and perform advanced analytics for our fintech product. You will analyze large datasets, develop predictive models, visualize results, and support decision-making processes.

Responsibilities:

• Collect, preprocess, and analyze data using modern tools.
• Develop and deploy machine learning models.
• Create visualizations to present findings.
• Collaborate with the team to support strategic decisions.

Requirements:

• 5+ years of experience in Data Science.
• Strong background in mathematics and statistics.
• Proficiency in Python, Pandas, Scikit-learn, SQL.
• Experience with Spark, Hadoop, Tableau is a plus.
• Skills in data analysis and building predictive models.

If you're passionate about working on exciting projects within a dynamic team — we look forward to your application!

About Us

Cherry is a fast-growing market place for buying, selling, leasing, and auctioning commercial vehicles and equipment. We’re building an industry-first valuation engine that helps our users make informed decisions in seconds. Now, we’re looking for a Machine Learning Engineer who can bring strong expertise in data scraping, predictive modeling, and ideally document automation using AI.

Role Overview

We are seeking an experienced ML specialist to build models that predict market prices for trucks and equipment based on auction results, historical sales, and vehicle specifications. This role will also involve setting up automated data pipelines, scraping structured and semi-structured data, and optionally working on generating intelligent reports or documents from data.

Key Responsibilities

• Build and refine price prediction models using data from auction sites, dealership listings, and historical records.
• Design and maintain data scraping pipelines (e.g., BeautifulSoup, Selenium, Scrapy) to gather auction and sale data from multiple public sources.
• Clean, normalize, and store data efficiently for training and inference.
• Apply feature engineering techniques on specs like make, model, mileage, year, VIN, etc.
• Work closely with product and engineering teams to deploy models in production.
• (Optional but valued): Use NLP or generative AI to create documents or listing descriptions automatically.

Requirements

• Proven experience in machine learning with a focus on regression/predictive models.
• Strong Python skills; familiar with tools like Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
• Experience in web scraping (BeautifulSoup, Scrapy, etc.).
• Familiarity with model evaluation metrics for regression (e.g., RMSE, MAE).
• Comfortable working with structured data (CSV, JSON, APIs) and preprocessing pipelines.
• Fluent in Git and version control workflows.
• Experience deploying or working with models in production (FastAPI, Flask, AWS/GCP preferred).

Nice to Have

• Familiarity with automated document generation, AI agents, or LLM APIs (OpenAI, Langchain).

   

We are looking for an experienced Machine Learning Engineer to join the innovative project at Samsung Electronics focused on on-device OCR solutions, which will be commercialized for worldwide use. The position involves research, analysis, prototyping, development, and commercialization. The work process will include cutting-edge and state-of-the-art technologies, critical thinking, and the ability to influence and shape the final product.

Responsibilities:
 

• Research and development of NN models
• Porting NN models to NPU
• Participate in code review and contribute to our coding standards and best practices
• Stay up-to-date with the latest Image Processing ML trends

Job Qualification:
 

• BS/MS/Ph.D. in Computer Science/ Software Engineering or a related field
• 3+ years of professional experience in commercial software development
• Experience with TensorFlow or PyTorch for ML models prototyping (visual and/or data series recognition)
• Experience in implementing machine learning algorithms, data processing, NN model performance measuring
• Python for prototyping and/or ML scripts development
• Experienced with Linux

Will be a plus:
 

• Experience in OCR
• Experience in C++ development
• Experience with performance optimization
• Experience with NPU(Neural Processing Unit) and models optimization for on device inference (TFLite, ONNX-runtime, etc...)
• Experience with Tizen SDK
• Experience with OpenCV or similar libraries
• Participation in CV/ML/DL-intensive research (papers, patents, etc...)
• PhD in Computer Science or related field

Working Conditions:
 

• GIG contract
• remote work is possible as well as work in Kyiv office
   

Benefits:
 

• competitive salary, annual salary review, annual bonuses
• paid 28 work days of annual vacations and sick leaves
• opportunity to become an inventor of international patents with paid bonuses
• medical & life insurance for employees and their childrens
• paid lunches
• discounts to Samsung products, services
• regular education and self-development on internal courses and seminars
• hybrid work format, working in office is required for some tasks

DARLY SOLUTIONS is an international IT company specializing in delivering innovative solutions across FinTech, MedTech, SaaS, etc.
With years of experience in web and mobile development, UI/UX design, Quality Assurance, AI, and machine learning, we pride ourselves on creating impactful products that drive success for our clients.Since 2018,
we have successfully completed over 250 projects.
Examples of our work across various domains can be found on our website
- https://www.darly.solutions/ 

We are looking an experienced Computer Vision specialist to consult on a project involving the detection and classification of subtitle text in video frames. We need your expertise to investigate, advise on, and potentially train AI models for better performance in this domain.
 

Requirements:

- Strong knowledge of Python.

- Experience with OCR and Computer Vision tools such as: EasyOCR, PaddleOCR, Google OCR, YOLO.
 

Nice to Have:

- Prior experience in subtitle or video frame text processing.

- Familiarity with real-time video editing tools.

RESPONSIBILITIES  

• Discover, envision and land Data Science, AI and Machine Learning opportunities alongside EPAM teams & clients  
• Lead cross-functional EPAM and/or EPAM clients` teams through the journey of understanding business challenges and defining solutions leveraging AI, Data Science, Machine Learning and MLOps  
• Work with clients to deliver AI Products which provide value to end-users  
• Participate and drive EPAM competencies development, work on new EPAM offerings in AI, Data Science, ML and MLE space, as well as work on refining existing offerings  
• Bring your creative engineering mind to deliver real-life practical applications of Machine Learning  
• Work closely with DevOps practice on infrastructure and release planning 
  
  
  QUALIFICATIONS  
• Consulting:  Experience in exploring the business problem and converging it to applied AI technical solutions; expertise in pre-sales, solution definition activities   
• Data Science:  3+ years of hands-on experience with core Data Science, as well as knowledge of one of the advanced Data Science and AI domains (Computer Vision, NLP, Advanced Analytics etc.)   
• Engineering:  Experience delivering applied AI from concept to production, familiarity, and experience with MLOps, Data, design of Data Analytics platforms, data engineering, and technical leadership.   
• Leadership:  Track record of delivering complex AI-empowered and/or AI-empowering programs to the clients in a leadership position. Experience managing and growing the team to scale up Data Science, AI &ML capability is a big plus  
• Excellent communication skills (active listening, writing and presentation), drive for problem solving and creative solutions, high EQ  
  
  NICE TO HAVE  
• One or more business domains expertise (e.g. CPG, Retail, Financial Services, Insurance, Healthcare/ Life Science)  
  
  TECHNOLOGIES  

• Python, Databricks, Azure ML, Big Data (Hadoop, Spark, Hive, etc.), AWS, Docker, Kubernetes, DB (Pl SQL, HQL, Mongo), Google (Vertex AI) or similar  

   

We are looking for a Data Scientist (NLP & LLMs) to join our team and work on the development of AI-powered solutions using modern NLP, Deep Learning, and multi-agent systems.

Project description:

We are building AI-driven fintech solutions using LLMs, RAG, and autonomous agents to automate compliance, contracts, and risk analysis — streamlining workflows and boosting decision-making with intelligent insights.

Requirements:

• 3+ years of experience as a Data Scientist or in a related role
• Strong knowledge of Deep Learning and Natural Language Processing (NLP)
• Hands-on experience with Large Language Models (LLMs), RAG, and multi-agent systems
• Proficiency in Python and relevant libraries such as PyTorch, TensorFlow, Transformers
• Solid foundation in Computer Science, Mathematics, or Statistics (Bachelor’s or higher)

Responsibilities:

• Develop NLP tools for automated contract generation, review, and compliance analysis
• Build AI agents to generate and update legal documents based on input and regulations
• Implement systems for legal clause classification and risk/highlight detection
• Create pipelines for legal request analysis and decision support (e.g., asset seizure)
• Collaborate with legal teams to fine-tune models and balance AI vs rule-based outputs

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

Cherry is a fast-growing market place for buying, selling, leasing, and auctioning commercial vehicles and equipment. We’re building an industry-first valuation engine that helps our users make informed decisions in seconds. Now, we’re looking for a Machine Learning Engineer who can bring strong expertise in predictive modeling, and ideally document automation using AI.

Role Overview

We are seeking an experienced ML specialist to build models that predict market prices for trucks and equipment based on auction results, historical sales, and vehicle specifications. This role will also involve setting up automated data pipelines, scraping structured and semi-structured data, and optionally working on generating intelligent reports or documents from data.

Key Responsibilities

• Build and refine price prediction models using data from auction sites, dealership listings, and historical records.
• Design and maintain data scraping pipelines will be a plus (e.g., BeautifulSoup, Selenium, Scrapy) to gather auction and sale data from multiple public sources.
• Clean, normalize, and store data efficiently for training and inference.
• Apply feature engineering techniques on specs like make, model, mileage, year, VIN, etc.
• Work closely with product and engineering teams to deploy models in production.
• (Optional but valued): Use NLP or generative AI to create documents or listing descriptions automatically.

Requirements

• Proven experience in machine learning with a focus on regression/predictive models.
• Strong Python skills; familiar with tools like Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
• Experience in web scraping is a plus (BeautifulSoup, Scrapy, etc.).
• Familiarity with model evaluation metrics for regression (e.g., RMSE, MAE).
• Comfortable working with structured data (CSV, JSON, APIs) and preprocessing pipelines.
• Fluent in Git and version control workflows.
• Experience deploying or working with models in production (FastAPI, Flask, AWS/GCP preferred).

Nice to Have

• Familiarity with automated document generation, AI agents, or LLM APIs (OpenAI, Langchain).

   

What You’ll Do:
    •    Extract data from emails (across 4–5 inboxes) and WhatsApp chats – including exporting full message history
    •    Possibly extract structured data from PDF documents
    •    Search across 5–8 years of emails using keyword filtering
    •    Identify and extract key client details (e.g., names, phone numbers) and input them into a centralized table
    •    Collaborate quickly and execute tasks independently and efficiently under time pressure

⸻

✅ Requirements:
    •    Advanced Python scripting skills, including use of libraries like imaplib, PyMuPDF, pdfplumber, or similar
    •    Experience with web scraping and data extraction from unstructured sources
    •    Familiarity with WhatsApp history export formats (JSON or TXT) and ability to parse locally
    •    Working knowledge of email APIs (Gmail, Outlook, etc.)
    •    Ability to filter and process data based on keywords and context
    •    Strong attention to detail and ability to handle large volumes of data
    •    Must be available to start immediately and deliver by Sunday evening

This role is well-regarded for leaders with a strong mathematics background and a desire to work hands-on with Data Science, AI, ML and could be the perfect opportunity to join EPAM as a Senior Manager - Data Science Consultant!

The remote option applies only to the Candidates who will be working from any location in Ukraine.

Technologies:

• Python, Databricks, Azure ML, Big Data (Hadoop, Spark, Hive, etc.), AWS, Docker, Kubernetes, DB (Pl SQL, HQL, Mongo), Google (Vertex AI) or similar
   

Responsibilities:

• Discover, envision and land Data Science, AI and Machine Learning opportunities alongside EPAM teams & clients
• Lead cross-functional EPAM and/or EPAM clients` teams through the journey of understanding business challenges and defining solutions leveraging AI, Data Science, Machine Learning and MLOps 
• Work with clients to deliver AI Products which provide value to end-users 
• Participate and drive EPAM competencies development, work on new EPAM offerings in AI, Data Science, ML and MLE space, as well as work on refining existing offerings 
• Bring your creative engineering mind to deliver real-life practical applications of Machine Learning 
• Work closely with DevOps practice on infrastructure and release planning 
   

Requirements:

• Consulting: Experience in exploring the business problem and converging it to applied AI technical solutions; expertise in pre-sales, solution definition activities  
• Data Science: 3+ years of hands-on experience with core Data Science, as well as knowledge of one of the advanced Data Science and AI domains (Computer Vision, NLP, Advanced Analytics etc.)  
• Engineering: Experience delivering applied AI from concept to production, familiarity, and experience with MLOps, Data, design of Data Analytics platforms, data engineering, and technical leadership
• Leadership: Track record of delivering complex AI-empowered and/or AI-empowering programs to the clients in a leadership position. Experience managing and growing the team to scale up Data Science, AI &ML capability is a big plus
• Excellent communication skills (active listening, writing and presentation), drive for problem solving and creative solutions, high EQ
   

Nice to have

• One or more business domains expertise (e.g. CPG, Retail, Financial Services, Insurance, Healthcare/ Life Science)

Hello!

We are Harmix (www.harmix.ai), a Ukrainian startup creating innovative products for the music industry. Our mission is to transform music search and analysis using advanced AI technologies.

We are looking for a Junior Data Scientist (Project-Based) to support our efforts in integrating and optimizing large language models (LLMs).

🎯 Project Description

Your primary responsibility will be to distill a larger language model (LLM) into a smaller, more efficient one using our internal datasets. You’ll fine-tune and evaluate the OpenAI models, evaluate performance on specific tasks, and work with the team to ensure results are measurable and production-ready.

🔍 What We Are Looking For

• Knowledge of Python, including libraries such as NumPy and Pandas.
• Experience with LLM APIs such as OpenAI API.
• Ability to evaluate experiments using metrics such as F1-score, precision, recall, and accuracy.
• Basic understanding of model distillation and prompt engineering.

🌟 What We Offer

• Remote, project-based contract with flexible working hours.
• A chance to contribute to real-world AI challenges in the music industry.
• A collaborative, open-minded team focused on innovation and learning.

If you are curious, motivated, and excited to apply LLMs in a real-world setting project, we'd love to hear from you!

Project Overview:

We are looking for a highly skilled and motivated Computer Vision / Machine Learning Engineer to join our AI team and lead model improvement initiatives for our already-deployed mobile application. The app is designed to assist amputees by detecting hand, finger, or limb anomalies in real time using computer vision. Your role will be critical in enhancing the accuracy, robustness, and real-world performance of our anomaly detection models, particularly across diverse environments and user types.

Customer Overview:

Our client is a leading healthcare company, dedicated to improving patient outcomes through innovative medical solutions and high-quality care.

Responsibilities:

• Analyze the performance of existing CV/ML models in production to identify failure modes, bias, or performance gaps.
• Improve anomaly detection models for hands, fingers, and limb-related irregularities using real-world data.
• Experiment with model architectures, fine-tuning, and transfer learning approaches to improve detection accuracy and reduce false positives/negatives.
• Optimize models for real-time inference on mobile/edge devices (e.g. TensorFlow Lite, CoreML, ONNX).
• Collaborate with data scientists, app developers, and clinical advisors to ensure model outputs are reliable and actionable.
• Design and implement data collection, annotation, and augmentation pipelines tailored for prosthetic/amputee scenarios.
• Conduct A/B testing and model validation in live environments with real user feedback.
• Monitor deployed models using telemetry and feedback to drive continuous improvements.

Skills/Requirements:

• Proven experience (3+ years) in building and optimizing computer vision models for image classification, object detection, or anomaly detection.
• Proficiency in Python and major ML/CV frameworks (TensorFlow, PyTorch, OpenCV).
• Experience working with medical imaging, biomedical signals, or human body detection is a strong plus.
• Solid understanding of model evaluation techniques and metrics, particularly in healthcare or safety-critical applications.
• Experience deploying models to production, preferably on mobile or embedded systems.
• Familiarity with data annotation tools and managing datasets with edge cases (e.g. partial limbs, occlusions).
• Excellent problem-solving skills and the ability to work independently or in a small, fast-paced team
• (Preferred) Experience with 3D hand pose estimation, depth sensing, or synthetic data generation

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