Вакансії Data Scientist / Machine learning Engineer

We’re looking for a Senior AI Engineer to join our client, a prominent Japanese company which produces Software Solutions for Enterprises facing the digital transformation from content management systems to process or task mining to full automation with factual analysis and expert support.
As a Senior AI Engineer, you will play a key role in building an AI-powered platform to convert Figma design files into high-quality front-end code (HTML, CSS, JavaScript, Vue.js/React).
This remote position is ideal for candidates located in Ukraine or Asian countries who can start work at 08:00 AM EEST to ensure time zone overlap. It is perfect for professionals with a deep technical background in machine learning, deep learning, and natural language processing applied to software development automation. and is perfect for someone with a deep technical background in machine learning, deep learning, and natural language processing applied to software development automation.

About the project

Client is a digital transformation solutions provider specializing in CMS, CXM, RPA, process mining, task mining, and 3D-VR solutions. With a strong presence in Japan and a parent company in the U.S., client delivers innovative automation and analytics platforms to enhance enterprise efficiency.
We are building an AI-powered platform that converts Figma design files into dynamic, high-quality front-end code. This initiative focuses on AI-assisted software development automation, enabling faster and more accurate front-end generation. Our work integrates machine learning, deep learning, and NLP with front-end engineering to bridge the gap between design and code.
Our approach prioritizes pragmatic trade-offs, balancing speed, quality, and cost to ensure rapid development cycles while maintaining performance and scalability.
Tech Stack: Python, TensorFlow, PyTorch, Hugging Face Transformers, Vue.js, React, HTML, CSS, JavaScript, Deep learning models for UI/UX interpretation

Must-have for the position

• 5+ years with Python and frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers;
• Strong background in Machine Learning, Deep Learning, and NLP;
• Experience in building and optimizing AI models for code generation or related applications;
• Familiarity with computer vision techniques for UI/UX design interpretation;
• Knowledge of Large Language Models (LLMs) and prompt engineering;
• Hands-on experience with frontend development (Vue.js, React, or similar frameworks);
• Familiarity with Agile/SCRUM environments;
• Strong problem-solving skills and ability to work in a fast-paced environment;
• English Level: Upper-Intermediate English or higher.

Will be a strong plus

• Prior experience in developing AI-powered low-code or no-code platforms..
• Knowledge of reinforcement learning and optimization techniques for AI models;
• Understanding of software engineering best practices and DevOps for AI model deployment;
• Experience with cloud platforms such as AWS, GCP, or Azure;
• Experience with Figma, Adobe XD, and other UI design tools;
• Bachelor’s Degree or above, preferably in IT or related subjects.

Responsibilities

• Design, develop, and optimize AI models for converting UI designs into front-end code;
• Implement deep learning and NLP techniques to improve the accuracy and efficiency of code generation;
• Work with computer vision models to interpret design files;
• Train, fine-tune, and deploy AI models for code generation;
• Collaborate with frontend and backend engineers to integrate AI functionalities into the platform;
• Research and implement state-of-the-art techniques in AI-assisted coding;
• Optimize AI models for performance and scalability.

We seek a passionate Senior Machine Learning Engineer with Python programming skills to develop robust solutions to real-world, large-scale problems that have a direct impact on the business. As a Senior Machine Learning Engineer, you will be expected to own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full ML model lifecycle. As a result, you will be expected to provide technical solutions and collaborate with your teammates; therefore, strong communication skills are critical in this role. With teammates in Portland, Boston, China, and Poland, you’ll join a global organization working to solve machine learning problems at scale.

Your tasks

• Work with the Artificial Intelligence and Machine Learning (AI/ML) team
• Design and implement scalable applications that leverage predictive models and optimization programs to deliver data-driven decisions that result in incredible business impact
• Write robust, maintainable, and extendable code in Python
• Contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development

Requirements

• At least 5 years of relevant professional experience
• Experience in ML Engineering and working on a product model using Scrum
• Ability to write robust, maintainable, and extendable code in Python
• Proficiency in SQL and knowledge of the GenAI area
• Knowledge of applied data science methods and machine learning algorithms
• Data wrangling experience, with structured and unstructured data
• Fluent English

Nice to have

• Experience with cloud architecture and technologies (preferably AWS, Kubernetes, and Docker) and MLOps concepts, would be an asset

We are seeking a Senior AI Engineer to join the AI team on the client’s side. In this role, you will apply your expertise in LLMs (Large Language Models) and Generative AI to help enhance and optimize the learning platform. You will be responsible for developing and implementing cutting-edge AI solutions that enhance the Academy’s capabilities, providing a seamless learning experience for users.

Project Overview:

Our client is a large public cyber charter school in the USA, working on an exciting initiative to enhance learning and training opportunities for their employees. The school has partnered with top specialists to create an innovative learning platform, the Academy, which offers employees convenient access to a wide range of training materials anytime, anywhere. The Academy is designed to provide a flexible, self-paced digital learning environment where students receive support from certified teachers. This comprehensive system aims to facilitate role-specific courses and promote continuous development for all employees.

Key Responsibilities:

• Develop and implement AI-driven solutions to enhance the learning platform, leveraging LLMs and Generative AI techniques;
• Collaborate with cross-functional teams to understand and address AI-related challenges;
• Optimize AI models for performance, scalability, and user experience;
• Continuously research and apply the latest advancements in AI/ML to improve platform features;
• Work closely with the AI team on the client’s side to deliver impactful AI solutions.

Requirements:

• 5+ years of commercial experience;
• Proven experience in AI/ML development, with a focus on LLMs and Generative AI;
• Strong proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar tools;
• Experience in building and deploying machine learning models in production environments;
• Strong understanding of AI/ML algorithms and techniques, especially in natural language processing;
• Excellent problem-solving skills and ability to work collaboratively in a fast-paced, dynamic environment;
• Experience in the EdTech domain or previous work on education platforms or related projects will be a plus.

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities. Our values are Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness and Result Driven. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback. If you want to work from home or work in the city center of Kyiv, great – apply right now.
Generative AI is transforming the way we interact with information, but it also poses an existential challenge to journalism and content creators. By scraping proprietary material without compensation, generative AI undermines key revenue streams—such as ad revenue, subscriptions, and licensing agreements – that sustain high-quality journalism and original content creation. Without proper attribution and compensation, publishers risk losing their audiences and the economic foundation needed to sustain high-quality, human-grounded journalism and content creation. Company mission – to ensure that generative AI platforms fairly credit and compensate content owners for their contributions. Our groundbreaking technology enables generative AI platforms to attribute sources and share revenue on a per-use basis, protecting creators, fostering sustainable journalism, and promoting the integrity of AI-generated content. About the Role We’re looking for a Senior Software Engineer to join our Inference Team, where you’ll lead the design and development of our Retrieval-Augmented Generation (RAG) infrastructure. In this role, you will work closely with ML engineers, research scientists, and product teams to power both web search and API-based experiences for millions of users with fast, accurate, and context-aware responses. You will architect scalable systems that combine LLMs and vector retrieval, optimizing for relevance, recall, latency, and cost. This is a high-impact role focused on AI/ML inference, retrieval performance, and significant ownership in both technical decision-making and long-term architecture.

Requirements

• 8+ years of experience in software engineering, with a focus on AI/ML systems or distributed systems,
• Hands-on experience building and deploying retrieval-augmented generation (RAG) systems,
• Deep knowledge of OpenSearch, Elasticsearch, or similar search engines,
• Strong coding skills in Python,
• Experience with frameworks like LlamaIndex or LangChain,
• Familiarity with vector databases such as Pinecone, Qdrant, or FAISS,
• Exposure to LLM fine-tuning, semantic search, embeddings, and prompt engineering,
• Previous work on systems handling millions of users or queries per day,
• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes),
• Experience with vector search, embedding pipelines, and dense retrieval techniques,
• Proven ability to optimize inference stacks for latency, reliability, and scalability,
• Excellent problem-solving, analytical, and debugging skills,
• Strong sense of ownership, ability to work independently, and a self-starter mindset in fast-paced environments,
• Passion for building impactful technology aligned with our mission,
• Bachelor’s degree in Computer Science or related field, or equivalent practical experience.

What you will do

• Design, build and scale a production-grade inference stack for RAG-based applications,
• Develop efficient retrieval pipelines using OpenSearch or similar vector databases, with a focus on high recall and response relevance,
• Optimize performance and latency for both real-time and batch queries,
• Identify and address bottlenecks in the inference stack to improve response times and system efficiency,
• Ensure high reliability, observability, and monitoring of deployed systems,
• Collaborate with cross-functional teams to integrate LLMs and retrieval components into user-facing applications,
• Evaluate and integrate modern RAG frameworks and tools to accelerate development,
• Guide architectural decisions, mentor team members, and uphold engineering excellence.

Imagine working on an AI-powered macOS assistant that feels truly intuitive, smart, and seamlessly integrated into users' daily workflows. At MacPaw, we’re pushing LLM-powered agents to the next level, and we need a Senior Data Scientist to help us get there.
In this role, you won’t just build models – you’ll shape the next generation of on-device AI, tuning LLMs to achieve SOTA performance, RAG pipelines, and intelligent agents for real-world applications. You’ll work with top Engineers and Scientists to bring cutting-edge NLP and ML capabilities directly to macOS users.
If you’re passionate about LLMs, AI agents, and making AI more accessible and powerful, this is your chance to be at the forefront of a game-changing innovation.

In this role, you will:

• Fine-tune LLMs
• Develop and fine-tune LLM-based agents for local task execution
• Design and build advanced RAG (Retrieval-Augmented Generation) pipelines for improved information retrieval
• Lead general deep-learning training and experimental initiatives. Cooperate with and mentor students from top Ukrainian universities
• Apply classical NLP techniques (e.g., NER, POS tagging)
• Set up a testing framework to evaluate agent performance, measure key metrics, and identify optimization opportunities
• Supervise macOS Engineers to integrate models on device

Skills you’ll need to bring:

• Advanced experience in NLP and LLMs
• Proven ability to train custom NLP models and fine-tune pre-trained LLMs
• Strong background in Transformer architectures and their applications
• Proficiency in classical ML tasks (classification, regression, clustering)
• Experience with Python and NLP/ML frameworks (PyTorch, spaCy, NLTK, SciPy)
• Hands-on experience building LLM agents (RAG, ReAct, Plan&Execute, multi-agent systems)
• Good expertise in creating competitive advantage through LLM fine-tuning and RAG optimization
• Familiarity with LLM agent frameworks (LangChain, LangGraph, Vector Databases)
• Experience implementing metrics frameworks that align AI performance with business outcomes
• At least an Intermediate level of English

As a plus:

• Knowledge of running and optimizing open-source LLMs
• Background in conversational AI and dialog systems
• Familiarity with iOS/macOS ML frameworks for local deployment
• Experience with edge deployment of ML models
• Expertise with LangFuse or similar observability tools

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

To qualify for the role, you must have

• Minimum 4 years of experience in Data Science and Machine Learning.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Knowledge and experience in Generative AI.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure or AWS.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Track record of driving innovation and staying updated with the latest AI research and advancements.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Ideally, you’ll also have

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems
• Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines
• Implement monitoring and logging tools to ensure AI model performance and reliability
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

Prom.ua – найбільший маркетплейс України, де продаються понад 200 млн товарів від десятків тисяч підприємців з усієї країни.

Про команду:

Ми оптимізуємо різні частини продукту, використовуючи дані і алгоритми машинного навчання. Паралельно розбудовуємо ШІ-системи, що надають стратегічну перевагу компанії і допомагають їй слідувати візії – створення комерції майбутнього.

Напрямки роботи команди:

• Рекомендації товарів і персоналізація
• Згортання товарів в продуктові моделі
• Автоматична оцінка якості та модерація контенту товарів: категоризація, машинний переклад, автозаповнення характеристик, генерація контенту
• Пошук та ML-ранжування
• Генерація і лінкування тегів для SEO

Особливості роботи в команді:

• активно занурюємось в продуктове середовище, тісно взаємодіємо з іншими командами – > мало досліджень йде під стіл, багато моделей в production
• розуміємо поставлені цілі, орієнтуємось на результат -> модельки роблять те, що потрібно, і не роблять те, що не потрібно
• мінімальна бюрократія, можна обирати задачки, які більше лежать до душі, заохочуємо ініціативу, але й розраховуємо на відповідальність за результат
• фокусуємось на розбудові інфраструктури для більшої надійності рішень, автоматизації рутини і щоб легше було впроваджувати моделі з нуля
• більшість проєктів версіонуємо і документуємо, це допомагає комфортно працювати декільком фахівцям
• багато працюємо в команді, віримо у зворотній звʼязок і підтримку, жартуємо жарти
• обмінюємось досвідом: проводимо авторські курси, презентуємо свої проєкти, влаштовуємо брейн-шторми

Розбудовуємо тісні зв’язки з командами розробки, тестування та аналітиками.
Для повсякденної роботи піднятий JupyterHub сервер з можливістю задавати необхідні характеристики робочого середовища, можна працювати на локальній машині. Маємо свої сервери з відеокартами для навчання і розгортання моделей.

Проєкти з технічного боку:

• Мова програмування: Python
• Аналіз і обробка даних: Jupyter Notebook, Pandas, NumPy
• Machine Learning і Deep Learning: Scikit-learn, TensorFlow, PyTorch, FAISS, XGBoost
• LLM API: Gemini, ChatGPT
• Візуалізація даних і моніторинг: Matplotlib, Seaborn, Plotly, Bokeh, Tableau, Grafana
• Бази даних: Postgres
• Big Data і розподілені обчислення: Apache Spark, Hadoop
• MLOps: MLflow, DVC, TensorFlow Serving, Python packaging, Fast API, uv
• Даги: Airflow
• Черги даних: Kafka
• Пошук: Elasticsearch

Для даної ролі важливо:

• досвід класифікації/сегментації/генерації текстів як класичними методами, так і deep learning
• досвід роботи з фреймворками для розробки нейромереж (PyTorch/TensorFlow)
• досвідченість у роботі з машинним навчанням: постановка задачі, збір і дослідження даних (PySpark, pandas), тренування моделі, оцінка результатів, аналіз роботи моделі, підготовка до розгортання;
• досвід розгортання та супроводження моделі в production, покращення вже існуючих моделей
• вміння писати надійний і чистий код на python, розуміння і використання різних структур даних, OOP, а також, володіння VC (Git etc); користування лінтерами (ruff) і інструментами перевірки типів даних (mypy)
• досвід роботи з Docker, пакетними менеджерами (uv, pdm), CI/CD
• готовність глибоко занурюватись в бізнес-задачі і перетворювати їх на технічні рішення (архітектура, функції втрат, метрики і т.д.)
• відповідальність та уважність до деталей
• вміння тестувати свої рішення і забезпечувати їх безперебійну роботу

Що буде плюсом:

• досвід навчання моделей на даних, що перевищують обсяг оперативної пам’яті, досвід з високонавантаженими системами, Big Data і розподіленими обчисленнями
• досвід побудови ETL-процесів, зокрема повʼязаних з регулярним перенавчанням моделей
• досвід у застосуванні практик MLOps: контроль версій коду, даних і моделей, автоматичного розгортання, моніторингу і логування, тестування моделей, перенавчання моделей
• досвід роботи з ембедингами і ANN

Можливі задачі:

• розвиток системи класифікації товарів;
• масштабування привʼязки товарів до продуктових моделей
• покращення моделі ранжування товарів у пошуковій видачі
• дослідження нових напрямків застосування машинного навчання для вирішення задач бізнесу

Svitla Systems Inc. is looking for a Senior Data Scientist for a full-time position (40 hours per week) in Ukraine. Our client is the largest airport television network, with 2,500+ screens in 90 commercial airports and 58 private/FBO airports across North America. They leverage various data and tech that enable targeting messaging, offer shopability, and allow viewers to continue watching TV content on their mobile devices. The client works with brands like Belvedere, Netflix, Sony, TikTok, Hilton, and Bose to innovate and create the best opportunities to connect with the world’s tastemakers.
This role is ideal for someone passionate about pushing the boundaries of location-data analysis and understanding its connection to real-world behavior. The team is building regression models, classification algorithms, data visualizations, and geospatial clustering within the location-data platform, which processes terabytes of data daily to power location-based products. The system integrates billions of data points into a comprehensive dataset covering hundreds of millions of places across the US and Canada, from restaurants and stores to parks, hotels, and colleges, representing every type of interest across North America. The approaches include exploratory data analysis, hypothesis testing, creation of heuristics, and machine learning techniques. They use a mixture of commercial, open-source, and home-grown solutions. Your findings will be built into the core products.

Requirements

• PhD in a quantitative field or a Master’s degree with 5+ years of experience in data science.
• Experience with ML, GenAI, deep learning, probabilistic graphical models, active learning, anomaly detection, and image classification.
• Knowledge of Scala, Spark, Python, A/B testing, the Hadoop ecosystem, Bayesian statistics, graphical data structures, and functional programming.
• Extensive knowledge in math or statistics.
• Experience owning multiple large projects/data products.
• Expertise in efficiently completing all research/design from the initial question to proof of concept ready for production.
• Understanding and documenting all findings, processes, and use cases for technical and non-technical audiences.

Nice to have

• Experience with horizontally scaling statistical algorithms.

Responsibilities

• Generate and implement ML and Gen AI algorithms.
• Design, prototype, and test scalable algorithms that turn hundreds of TBs of raw location data into valuable products.
• Work with extensive data sets, designing and developing highly memory- and CPU-efficient methods.
• Assess the quality of new datasets for downstream processing.
• Create functional and technical documentation of analyses, findings, and prototypes.
• Collaborate with engineering to produce prototypes.
• Communicate results to teams within the organization and to customers.
• Find creative solutions to business problems and develop them into products.
• Own and drive projects with minimal guidance.

N-iX is looking for a passionate and motivated Data ML Engineer to join our team.
Our customer is a technology company that powers one of the world's largest two-sided marketplaces for high-quality photos, illustrations, videos and music used by individuals, businesses, marketing agencies and media organizations of all sizes. In this role, you will be working with highly motivated and talented data scientists and engineers who are primarily focused on developing next generation AI/ML systems that transform the way people find content they enjoy.

Responsibilities:

• Partner with product managers, data scientists and other technical stakeholders to understand requirements and collaborate on providing solutions at scale.
• Create end-to-end machine learning solutions from start to finish, contribute to complex machine learning operations and inference pipelines.
• Build and maintain a modern serverless ML-powered GraphQL stack that will support rapid iteration and drive delivery of AI-powered features.
• Support development, productionalization and deployment of machine learning models.
• Manipulate large datasets quickly and efficiently in both relational and “big” data stores.
• Day-to-day operational support of engineering infrastructure, products, and services, including on-call routine.

Requirements:

• Industry experience in building, deploying and maintaining high performing, resilient, and scalable real-time machine learning systems.
• Expert knowledge of Python and experience in building micro-services that can scale effectively.
• Knowledge of SQL, data modelling, and dimensionality modelling concepts
• Familiarity with modern ETL stack (Airflow, DBT, Snowflake) and stream processing frameworks (Kafka, Kinesis).
• Good understanding of machine learning operation practices and procedures.
• Familiarity with machine learning principles, hands-on experience with common machine learning tools like Scikit-Learn and deep learning frameworks like TensorFlow, Keras, Torch/PyTorch
• Experience with Cloud infrastructure provisioning and integration patterns
• Be excited to be part of the team, have the ability to communicate clearly and develop close working relations with other team members and stakeholders.
• Ability to innovate and identify new approaches to improve current practices.