Jobs

About Keyo:

Keyo is pioneering the next generation of identity infrastructure—a network that enables seamless, secure, and privacy-first authentication for individuals worldwide. By combining privacy-centric palm recognition technology with a decentralized approach to identity, Keyo empowers users to prove who they are—anywhere, instantly, and without friction.

We take an integration-first approach, allowing businesses to seamlessly incorporate a secure, privacy-centric biometric solution into their services. Our platform unites hardware, software, and infrastructure to enable trustless identity verification, making payments, access control, and authentication effortless.

With a commitment to security and compliance, Keyo is redefining what it means to own and control your identity in both the digital and physical worlds.

Apply to this job if the above excites you—if you’re ready to join a team driven by a bold vision that will take time, dedication, and innovation to achieve. We are an intentionally international team, fostering a product culture of extreme ownership, strong teamwork, and technical excellence in problem-solving.

About the Role

We are looking for a Data Quality Assurance to join our Biometric Team. The ideal candidate will play a crucial role in ensuring high-quality datasets for training and evaluating our biometric models. You will be responsible for reviewing, labeling, and categorizing biometric scans (RGB, IR) and identifying rejected scans, spoofs, duplicates, and IR-specific data. Additionally, you will assist in generating datasets under specific conditions to enhance model robustness.

Key Responsibilities

• Label biometric scans (RGB and IR), including rejected scans, spoofs, and duplicate enrollments.
• Review and validate image data, ensuring high-quality and accurate annotations for machine learning training.
• Assist in testing new biometric releases and evaluating their performance.
• Support data collection efforts, including capturing scans in various lighting and environmental conditions.
• Collaborate with ML engineers and researchers to refine annotation guidelines and dataset quality.
• Maintain detailed documentation of labeling criteria, dataset variations, and identified issues.

Qualifications & Skills

Required:

• Prior experience in data annotation, image labeling, or biometric data review.
• Strong attention to detail and the ability to identify patterns in biometric data.
• Familiarity with image analysis tools and annotation platforms.
• Basic understanding of computer vision and machine learning concepts (preferred but not mandatory).
• Ability to work independently and collaborate with teams remotely.
• Strong organizational skills and ability to handle large datasets.

Nice to Have:

• Experience working with biometric systems (e.g., fingerprint, face, palm, or iris recognition).
• Understanding of spoof detection techniques in biometrics.
• Exposure to Python and OpenCV for image processing (bonus).
• Knowledge of data quality assessment techniques.

Qualifications:

• 1+ years of experience in data annotation, labeling, or biometric data analysis.
• Bachelor’s degree in a relevant field (computer science, data science, or related) is preferred but not required.
• Demonstrated ability to work with image datasets and follow detailed annotation guidelines.

Personal Qualities:

• Detail-oriented mindset with a commitment to high-quality work.
• Strong problem-solving skills and a proactive approach to improving data quality.
• Good communication skills and ability to work in a collaborative team environment.
• Adaptability to evolving annotation requirements and biometric challenges.
  
   

What We Offer

• Remote-first Work Environment
• Growth Opportunities
• Competitive Compensation
• Work at a mission driven company with team members from around the world

How to Apply

Start your application with the word banana 🍌—this helps us confirm that you’ve read the job description and understand the requirements.

To apply:

• Submit your resume.
• If you advance past the second interview, you’ll be asked to walk us through a project you’ve completed.
• All interviews require your camera to be turned on.

Important:

Reading from any AI agent during the interview will immediately end the call. We fully embrace AI as a tool for engineers, but we need critical thinkers. Show us that you’re a great fit by demonstrating extreme ownership, strong teamwork, technical excellence, and problem-solving skills.

We are searching for a talented AI Content & Prompt Engineer to enhance content generation and AI-driven processes across our various projects in our digital ecosystem.
 

Key Requirements:

• Proven experience working with generative AI tools (e.g., ChatGPT, Midjourney, HeyGen, Claude, Copy.ai)
• Strong command of prompt engineering and content generation workflows
• Solid understanding of AI-powered SEO content creation and optimization
• Experience producing AI-generated video content using tools like HeyGen, D-ID, or similar platforms
• Basic knowledge of automation tools and content publication flows (e.g., Zapier, Notion AI)
• Excellent written English; other Western European languages are a plus
• Highly creative mindset with strong attention to detail and quality
• Basic understanding of visual content standards and graphic tools (Canva, Figma, or equivalents)
• Self-organized, reliable, and able to work independently in a remote environment
• High emotional intelligence

• Familiarity with data visualization or using AI for business analytics will be a plus

   

The selected candidate will be responsible for:

• Creating and refining prompts to generate high-quality content for SEO articles, blogs, and landing pages
• Producing AI-generated video content and avatars for social media and marketing
• Collaborating with marketing and design teams to ensure consistent brand messaging and tone
• Automating parts of the content pipeline for faster delivery and publication
• Optionally assisting with AI-based dashboards or internal data projects

• Keeping up-to-date with the latest tools and features in the AI content space

   

Languages:

The main languages of communication in the company are English, Italian, Russian, and Ukrainian. Since our team has many people from the CIS, we also use Russian for better understanding. We do not cooperate with aggressor countries.

Conditions:

• Remote work, flexible schedule
• Hourly payment, 40 hours per week

• Long-term collaboration

   

Benefits of working with us:

• Decent salary with opportunities for review every six months, based on performance and willingness to take on additional responsibilities
• 24 calendar days of paid vacation
• Paid sick leave with a doctor's certificate
• No unnecessary distracting meetings, only the essential ones
• Project diversity ensures horizontal rotation opportunities

• Access to a budget for professional development after completing a three-month probationary period, including relevant external courses, conferences, and seminars

   

And a few very important things to know about us:

We're a small but successful team of professionals fostering a "family-like" culture. However, this isn't the kind of family that gathers a few times a year to celebrate something. It's a union of individuals bound by common interests and a sense of belonging to a shared mission, a desire to see a magnificent result of joint efforts.

We have a flat company structure, which means that your ideas and suggestions will not go unnoticed by management.

We take a highly responsible approach to the selection of our team members: no matter what position we hire someone for, the main quality we look for is a people-first attitude. That's why in our team you won't meet indifferent bureaucrats, but you will definitely meet like-minded buddies.

Convinced this is the right fit? Apply now and let's make it happen!

We are seeking a highly skilled and experienced Senior Data Scientist/AI Engineer to join our team!

What is this role about?

This role is designed for a technically skilled, client-facing data scientist with a focus on AI and problem-solving. The primary responsibility is to apply AI and machine learning techniques, particularly in natural language processing (NLP) and large language models (LLMs), to address business challenges. Data scientist will primarily work with the business team and engage with clients to demonstrate potential data insights. This role is not focused on traditional software development or managing software engineering teams. Instead, it is ideal for someone with a strong AI and data science background who can think strategically and apply AI technologies in a client-facing, consultative role.
 

What is this project about?

It is a cutting-edge agentic workflow automation platform that enables users to create, automate, and manage complex workflows through a simple natural language interface. It leverages advanced machine learning models to help teams streamline tasks, integrate systems, and automate processes without the need for extensive coding or technical expertise. 
 

What is so great about this project? 

The project offers a unique opportunity to work on cutting-edge AI technology, lead innovation, and shape the future of business automation at a time when the demand for these solutions is growing rapidly.
 

What does the interview process look like?

– Recruiter interview – up to 30 minutes;

– Technical Interview – up to 1 hour;

– Cultural interview with client – up to 30 minutes.

Requirements:

- 5+ years of experience as a Data Scientist or in a similar role;
- Expertise in AI, especially in NLP, LLMs, and generative AI;
- Strong problem-solving skills with the ability to think critically and apply AI to business needs;
- Excellent interpersonal and communication skills, capable of engaging with clients and understanding their needs;
- A technical background, ideally with a master’s degree in computer science, AI, or a related field, with strong academic and practical knowledge in AI;
- Ability to work independently in a consulting role, without direct oversight;
- Comfortable working in a flexible and fast-paced environment, with rapid deployment and iteration cycles;
- Advanced level of English.

Responsibilities:

- Engage directly with clients to understand their business problems and determine how to solve them using AI models;
- Apply AI/NLP techniques, such as BERT models, generative AI to provide innovative solutions;
- Analyze conversations from platforms like Discord and Telegram to extract sentiment, identify key topics, and help segment communities (e.g., developers vs. speculators);
- Collaborate with the business team to demonstrate actionable insights to clients and help them better understand community dynamics;
- Create reusable workflows through fast prototyping and iterations based on client feedback.

Job Description

Projects Overview for Candidates:
 

We partner closely with Google and collaborate with a diverse range of clients across industries. Our projects vary, from building predictive models for e-commerce platforms to anticipate consumer behavior, to helping production companies automate and enhance their inspection processes through AI-driven solutions.
 

We work with a mix of pre-built models (e.g., Google's Gemini) and custom models, which we fine-tune and deploy based on specific client requirements. Your project allocation will be determined by your skill set and start date, ensuring a strong match for both your expertise and the current project needs.

 

Our projects typically follow these phases:
 

• Workshop: In this phase, we engage with clients to understand their challenges, conduct research, and propose tailored AI solutions.
• Proof of Concept (PoC): Here, we build a prototype to validate the feasibility of the proposed solution.
• Development: This is where we transition into long-term projects, focusing on the full-scale development and implementation of the solution.
   

While we primarily use Google Cloud Platform (GCP) infrastructure, we are also equipped to work with a variety of models and cloud services depending on the project's requirements.

 

Requirements

- Very good experience with Python 
- Generative AI OR / AND Traditional AI

- Deploying models as REST APIs (Flask) and using TFServe (Tensorflow).

- Customer presentation experience OR skills: The candidate is not afraid to give presentations and is ready to communicate with the client.

 

Big plus

- experience with GCP, AWS and Azure.
 

Duties 

- Develop proof of concept, MVP, app chatbot from LLMs, GCP tech stack for GenAI, and Python coding.
 

Office Work in LVIV

Inforce is a Software Development Company that provides a full range of top-quality IT services. Our mission is to develop first-class applications and Websites to provide our clients with the best solutions for maximizing their profits and converting their ideas into reality.

Responsibilities:

-  Design, develop, and deploy AI models to solve complex business problems.

- Work on machine learning algorithms, deep learning models, and natural language processing systems.

- Collaborate with other developers, data scientists, and stakeholders to define AI solutions.

- Optimize and improve the performance of AI models and systems.

- Conduct data analysis and feature engineering to prepare datasets for training AI models.

- Stay up-to-date with the latest trends and advancements in AI technology.

Required skills:

- Strong knowledge of AI technologies, machine learning, and deep learning.

- Experience with AI/ML frameworks like TensorFlow, Keras, PyTorch, or similar.

- Solid understanding of data structures, algorithms, and software engineering principles.

- Experience with data processing tools and libraries (e.g., Pandas, NumPy, Scikit-learn).

- Strong problem-solving skills and the ability to think critically.

- Good communication skills and the ability to work well in a team.

- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.

We offer:

- Competitive salary

- Interesting and challenging projects

- Future career growth opportunities

- Paid sick leave and working day vacation

- Friendly team of professionals

- Delicious coffee biscuits and tea for your good mood

- The company covers 50% of the cost of courses you need

We are seeking an experienced Machine Learning Engineer specializing in Large Language Models (LLMs), Natural Language Processing (NLP), and AI Agents. In this role, you will design, develop, and deploy cutting-edge language models and agent-based systems that drive innovation and deliver value across products and services.

Key Responsibilities

• Design, fine-tune, and optimize large language models (LLMs) for specific use cases and domains
• Develop and implement prompt engineering techniques to enhance model capabilities and performance
• Create autonomous AI agents capable of performing complex tasks through language understanding and reasoning
• Build retrieval-augmented generation (RAG) systems that combine LLMs with external knowledge sources
• Implement evaluation frameworks to benchmark LLM and agent performance across various metrics
• Optimize models for production deployment with attention to latency, throughput, and cost
• Design conversational flows and dialogue management systems for AI assistants
• Develop techniques to ensure responsible AI deployment, including safety guardrails and bias mitigation

• Stay current with the rapidly evolving NLP/LLM research landscape and implement state-of-the-art techniques

   

Requirements

• Strong experience with transformer-based models and frameworks (Hugging Face, PyTorch, TensorFlow)
• Practical experience fine-tuning, serving, and optimizing LLMs (e.g., GPT models, Llama, Claude, Mistral)
• Expertise in building multi-agent systems using Large Language Models (LLMs)
• Expertise in NLP techniques including prompt engineering, embeddings, and semantic search
• Experience with vector databases and retrieval systems (Pinecone, Weaviate, Faiss, etc.)
• Familiarity with model quantization, distillation, and other optimization techniques
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex, etc.) 
• Experience with multi-agent frameworks (such as CrewAI, LangGraph, AutoGen, or similar)
• Working knowledge of cloud platforms (AWS, GCP, Azure) for ML model deployment
• Proficiency with containerization technologies (Docker, Kubernetes)

• Strong understanding of LLM evaluation methodologies and metrics

   

Nice-to-Have skills:

• Experience with deploying high user loads production systems (nice to have but not strictly required)
• Knowledge of reinforcement learning from human feedback (RLHF) techniques
• Familiarity with LLM inference optimization (vLLM, TensorRT, ONNX)
• Experience with tools for LLM observability, evaluation, and debugging
• Experience with multimodal models combining text, vision, and audio
• Knowledge of LLM security, safety, and alignment techniques

EXITEK team is looking for a Machine Learning Engineer. We're expanding our development team and looking for a passionate, experienced, self-organised candidate to work on our BeautyUp app (https://apps.apple.com/us/app/id1671843069).

Responsibilities:

• Design, develop, and optimize state-of-the-art computer vision pipelines, algorithms and models;
• Conceive and experiment with innovative features and functionalities in the realm of photo editing and enhancement;
• Collaborate with cross-functional teams to integrate machine learning models into production systems and pipelines.

Requirements:

• Proficiency in Python and PyTorch;
• Experience in Computer Vision (GANs, SD, etc.) is a must;
• Deep understanding of the current state of the art in machine learning and computer vision;
• Robust communication skills, complemented by the ability to thrive in a collaborative team environment.

AI Developer Consultant / AI-Powered Software Development Expert
Розробка на швидкості думки разом із Cursor IDE

Ми шукаємо експерта, який допоможе командам програмістів по-справжньому розкрити потенціал AI у розробці — швидше писати код, автоматизувати задачі й ефективно співпрацювати.
Якщо ви не просто пишете код, а вмієте навчати інших використовувати AI-інструменти — вам до нас.
 

Що ви будете робити:
✅ Допомагати командам впроваджувати AI у розробку (на основі Cursor IDE)
✅ Навчати розробників працювати з AI-асистентами
✅ Оптимізувати процеси команд (DevOps, QA, Fullstack) завдяки AI
✅ Консультувати щодо prompt engineering — як ставити питання AI і отримувати точні відповіді
 

Що нам важливо:
🛠️ Досвід роботи з Cursor IDE (обовʼязково)
🛠️ Володіння трьома мовами програмування (наприклад, Python, PHP, JS)
🛠️ Розуміння процесів DevOps, QA, Fullstack
🛠️ Досвід роботи з Git, Docker, CI/CD
🛠️ Навички prompt engineering

Saldo Apps is a product company. We’re transforming financial management with our product tailored for financially savvy individuals – true fin nerds – and you can be a part of it. Our mission is to empower users to take control of personal, business, and family finances with precision and ease. 
 

Finerd (part of Saldo Apps) is seeking an AI / LLM / Prompt Engineer to to develop AI-based solutions using various LLM models and to write stable and clear prompts. In this role, you will:
• develop solutions in Python, utilizing the necessary LLM frameworks;
• design prompts that maximize the model's effectiveness;
• select the LLM model best suited for each task;
• keep fine-tuning prompts so our AI stays sharp, speedy, and doesn't take unexpected coffee breaks.

You can work fully remotely from any location or join us at our offices in Barcelona, Spain, Kyiv or Odesa, Ukraine.

Our experienced team built Ukraine’s leading financial management app, achieving 1.5 million installs and $1M in annual revenue through effective App Store Optimization in the US and Canada. Now, we’re channeling our expertise to create the best financial management solutions in the world.

Hard Skills:

1. Strong Python programming proficiency
2. Experience working with LLM APIs
3. Experience with popular Python frameworks for working with LLMs
4. GitLab, Azure and containerization tools (Docker, Kubernetes)

Nice to have:

1. Retrieval-Augmented Generation (RAG)
2. Knowledge of vector databases
3. Knowledge of classical machine learning
4. Exposure to LLM fine-tuning, usage costs

What you need to do: 
1. Develop and implement AI-powered solutions from scratch, overseeing the entire lifecycle from concept to deployment. 
2. Identify and select optimal approaches to solve complex AI-related challenges. 
3. Lead strategic decision-making on AI technologies and methodologies to drive innovation and operational excellence.

We offer: 

1. Flexible working hours.
2. Fully remote work. Though we have offices in the center of Odesa and Kyiv, we gladly accept fully remote employees.
3. 37 business days of paid day off, which can be spent on vacation, sick leave, public holidays, and generally at your own discretion. We encourage you to rest!
4. Fast career growth — your career advancement is up to you.
5. We reimburse 50% of the cost of English classes. Additionally, we have our own speaking club with a native speaker.
6. If you use medical insurance we are ready to compensate you for 50% of its cost.
7. We can reimburse you for 50% of the cost of courses, training, and webinars.
8. Individual and group sessions with a corporate psychologist, and online yoga classes.

Why should you work with us?

1. Compact and Autonomous Team: Join a tight-knit group of specialists who foster a proactive, creative development culture. You’ll have the freedom to choose your tools, define your processes, and take ownership of your outcomes—while staying aligned with company goals and collaborating seamlessly with your colleagues.
2. Cutting-Edge AI Solutions: Work on innovative artificial intelligence projects that directly enhance our users’ financial well-being.
3. Fully Remote: We care about results, not babysitting.
4. No Bureaucracy: just a no-bullshit workflow — we get things done.

We seek an experienced AI/ML Team Leader to join our innovative team. You will lead a group of highly skilled MLOps Engineers, develop robust MLOps pipelines, create cutting-edge Generative AI solutions, effectively engage with customers to grasp their requirements and ensure project success overseeing from inception to completion.
 

📍 Work location - remote from Ukraine.

Responsibilities

• Manage a team of highly professional MLOps Engineers focusing on their growth and execution excellence.
• Lead and be responsible for on-time, great-quality project deliveries
• Developing MLOps pipelines leveraging the Amazon SageMaker platform and its features
• Developing Generative AI solutions and POCs, utilizing the latest architectures and technologies
• Delivering end-to-end ML products - model performance development, training, validation, testing, and version control
• Provision of ML AWS resources and infrastructure
• Developing ML-oriented CI/CD pipelines using GitHub Actions, BitBucket, or similar tools
• Deploying Machine Learning models in production
• Help customers tackle challenges on a scale using distributed training frameworks 
• Using and writing Terraform libraries for infrastructure deployment
• Developing CI/CD pipelines for projects of various scales and tech stacks
• Maintaining infrastructures and environments of all types, from dev to production
• Security monitoring and administration

Requirements

• Proven leadership experience with a track record of managing and developing technical teams.
• Excellent customer-facing skills to understand and address client needs effectively.
• Ability to design and implement cloud solutions and to build MLOps pipelines on AWS
• Experience with one or more MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow, etc. 
• Fluency in Python, a good understanding of Linux, and knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
• Ability to understand tools used by data scientists and experience with software development and test automation
• Experience with one or more large language models, such as frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex
• Experience with Docker and Kubernetes
• Fluent written and verbal communication skills in English
• Working knowledge of some Vector Databases such as OpenSearch, Qdrant, Weaviate, LanceDB, etc. - an advantage
• Working knowledge with Snowflake, BigQuery, and/or Databricks - an advantage
• GCP or Azure knowledge (DevOps/MLOps) - an advantage

• ML certification (AWS ML Specialty or similar) - an advantage

   

Automat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that fostering a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills, recognizing the value you bring to our team.

We are currently looking for a Machine Learning Engineer to join a technology company specializing in navigation hardware for aerial vehicles. This is a fully remote position.

The company fosters a fast-paced startup culture with direct communication, a flat hierarchy, and minimal bureaucracy. You will work with people who value the Growth Mindset, embrace challenges, aren’t afraid to learn from mistakes, and focus on finding solutions rather than pointing fingers.

The company actively integrates automation and AI technologies into all company processes to be 10x more efficient, reduce routines, and free up time for creative jobs.

Key responsibilities:

• Perform data analysis to evaluate data quality, identify trends, and ensure suitability for machine learning experiments.
• Prepare and preprocess datasets, ensuring best practices for model generalization and robustness in ML models.
• Prototype and optimize data processing pipelines, collaborating with the DevOps team for seamless deployment.
• Design, train, and evaluate ML models in collaboration with senior engineers.
• Analyze experiment results, identify potential pitfalls, and propose improvements for model performance.

• Proactively communicate key findings, intermediate analyses, and experiment results to stakeholders and partners, translating insights into actionable recommendations.

   

Required skills:

• Upper-intermediate, preferably Advanced English.
• Master’s or PhD degree in Computer Science, Machine Learning, Robotics, or a related field.
• Commercial experience in Machine Learning, Robotics, or a related field.
• Solid command of Machine Learning, Statistics, and Signal Analysis.
• Hands-on experience with Python and ML frameworks such as TensorFlow or PyTorch, SciPy, and Scikit-learn.
• Strong understanding of data preprocessing, feature engineering, and model evaluation.
• Familiarity with supervised and unsupervised learning techniques applied to sensor or image data.

• Basic understanding of software engineering principles, including version control (Git) and containerization (Docker).

   

Preferred qualifications:

• Command of at least one other language for data analysis, such as R and Scala.
• Familiarity with the Spark data analysis framework.
• Exposure to robotics, reinforcement learning, SLAM (Simultaneous Localization and Mapping), or sensor fusion.
• Experience working with real-time sensor data (e.g., LiDAR, camera, IMU).

• Understanding of cloud-based ML model deployment and optimization techniques.

   

Note! When possible, add a link to your GitHub and any code examples with your application.

Samsung R&D Institute Ukraine is looking for a passionate and collaborative Deep Learning Engineer to join our team.

As a member of our team, you will participate in full-cycle research and development task relates to image processing, on-device input events processing, and sketches generation.

Solutions in areas: image processing, signal processing, handwriting, artistic input and other human-computer interaction scenarios.

It is a good opportunity to work on a product used by millions of customers around the world on the most advanced Samsung devices.

Responsibilities:

•     Deep learning approaches design & implementation
•     Build and optimize image processing and signal processing pipelines
•     Research, train, evaluate, and improve existing deep learning models for sketches and images
•     Implement from scratch novel NN architectures
•     Develop strategies for creating, collecting, and assessing datasets, including synthetic data generation

Major requirements:

•     Be up-to-date with novel deep learning researches
•     Be able to design deep learning architecture
•     Strong programming skills Python
•     Proficient in deep learning frameworks such as TensorFlow and PyTorch
•     Solid understanding of mathematics and linear algebra
•     Experience of developing training pipelines from scratch
•     Experience of building data preprocessing pipelines (outliers detection, denoising, splitting, etc)

Will be a plus:

•     Expirience with novel LLMs and content generation architectures
•     Master/PhD in Computer Science or related field
•     Experience with low-resource datasets
•     Experience in ML models deployment on Android (TFLite)
•     Awareness of Android application development (Java, Kotlin)
•     ML/DL contests achievements (e.g., Kaggle)
•     Experience and interest in academic research, papers

Working Conditions:

• employment — 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 children
• 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

Про компанію Samsung R&D Institute Ukraine

Samsung Research and Development Institute Ukraine (SR Ukraine) is one of the units of R&D infrastructure of Samsung Electronics. Our local directions cover R&D activities in such areas as computer vision, next generations of human-computer interfaces based on 3D graphics and recognition technologies; applications for creating and consuming new types of multi-media content; device-2-device and device-2-cloud convergence; information security; artificial intelligence; natural language processing (NLP); human computer interaction (HCI); information retrieval; computational intelligence.

The main goal of the SRUKR is to provide next generation, adaptive, context-aware intelligent services for Samsung products and immersive serendipity across software and hardware eco-systems. We provide prototypes and new generation software development from scratch for embedded devices that gives a chance for Ukrainian engineers to work on technology of the future.

Company offers medical insurance, life insurance for our employees and their children, free lunches, English/Korean courses. Competitive salary; bonus system and effective talent development system for our employees, various learning workshops and trainings.
Ukrainian labor legislation guarantees (in particular, 24 calendar days of annual paid vacations; day-off on Ukrainian official holidays; paid sick leave, paid maternity leave).
Our company is an equal opportunity employer and welcomes application from all qualified candidates. The data provide will only be used for consideration of the applied position or other suitable position in Samsung Electronics Ukraine Cоmpany Ltd. Personal data collected will be used for recruitment purpose only.
In the whole process of recruitment, applicants should be careful not to infringe the trade secret of the company which they have been / were working for.
Please note that Samsung Electronics will never ask applicants to submit any personal documents or sensitive personal data to facilitate the recruitment process.


Надсилаючи своє резюме, Я, надаю ТОВ “Самсунг РнД Інститут Україна” (ЄДРПОУ 44648330) (надалі — “Компанія”) право на збір та обробку моєї персональної інформації, а саме прізвища, ім’я та по-батькові, дата народження, контактний номер телефону, адресу електронної пошти (надалі — “Персональні дані”) із метою використання цих даних для пошуку та підбору кандидатів на заміщення вакантних посад Компанії, наповнення рекрутингової бази даних Компанії.
Для цього надаю Компанії право:
o на збір, збереження, використання Персональних даних;
o використання Персональних даних для зв’язку зі мною та надсилання мені інформації про вакансію (-ії) в Компанії;
o зберігати Персональні дані в рекрутинговій базі даних Компанії протягом строку існування такої бази;
o видалення Персональних даних з рекрутингової бази даних Компанії у будь-який час на розсуд Компанії.

Ця Згода є безстроковою та може бути відкликана мною за моїм письмовим зверненням на адресу ТОВ “СамсунгРнД Інститут Україна”: 01032, м. Київ, вул. Гетьмана Павла Скоропадського, 57

Ми шукаємо досвідченого інженера з машинного навчання, який спеціалізується на комп’ютерному зорі, для участі в розробці систем розпізнавання обличчя та біометричної автентифікації.

Ця роль передбачає розробку високоточних алгоритмів для аналізу облич, оптимізацію моделей для роботи в реальному часі та забезпечення захисту від підробок за допомогою Liveness Detection.

Обовʼязки:
– розробляти алгоритми розпізнавання обличчя — забезпечення точного й швидкого аналізу біометричних даних;
– оптимізація моделей для швидкої роботи в реальному часі;
- Liveness Detection — реалізація активної та пасивної перевірки «живості» для захисту від підробок;
– оцінка якості зображення обличчя — перевірка відповідності стандартам ICAO, ISO/IEC;
– порівняння осіб (Face Matching/Identification).

Вимоги:
– мінімум 3 роки досвіду у сфері штучного інтелекту та машинного навчання, з особливим акцентом на комп’ютерний зір;
– глибоке розуміння сучасних архітектур нейронних мереж для завдань комп’ютерного зору;
– практичний досвід роботи з фреймворками глибокого навчання (PyTorch, TensorFlow, Hugging Face) та бібліотеками для обробки зображень (OpenCV);
– високий рівень володіння мовою програмування Python;
– досвід розгортання масштабованих ML-пайплайнів з використанням хмарної інфраструктури (AWS Lambda, AWS SageMaker);
– відмінні аналітичні здібності та вміння ефективно працювати в команді.

Що пропонуємо?
– гібридний формат роботи (Київ, офіс + віддалено);
– роботу в масштабному національному проєкті;
– сучасний технологічний стек та доступ до передових AI-рішень;
– можливість впливати на розвиток біометричної безпеки.

Якщо хочете створювати передові ML-рішення та працювати над масштабними AI-проєктами, приєднуйтеся до нас!

About Us:

At The PARTNER AI, we’re building Autonomous AI Assistant that redefines productivity and simplifies business operations. We’re looking for ambitious, tech-savvy individuals eager to shape the future of AI-driven automation.

Who We’re Looking For:

We’re seeking a Junior AI Engineer with a passion for innovation and problem-solving. If you have an engineering background and are ready to grow quickly while working on cutting-edge technologies, this is the role for you.

Responsibilities:

• Develop and optimize AI-driven workflows for automation and prompting.

• Utilize tools like LangChain and LangFlow to build and refine AI systems.

• Write and debug code to support and enhance AI functionality.

• Experiment with new AI frameworks and tools to solve real-world problems.

• Work closely with the product team to bring innovative features to life.

• Participate in R&D to explore and implement advanced AI concepts.

• Rapidly prototype and iterate on solutions to meet product goals.

Requirements:

• Programming Skills:

• Proficiency in Python (experience with AI/ML libraries like NumPy, Pandas, or TensorFlow is a plus).

• Ability to write clean, efficient, and well-documented code.

• AI Frameworks and Tools:

• Familiarity with LangChain, LangFlow, or similar prompting and workflow automation tools.

• Understanding of prompt engineering concepts and techniques.

• Data Handling:

• Basic knowledge of APIs and how to integrate them with applications.

• Experience working with structured and unstructured data.

• Development Practices:

• Understanding of version control systems, like Git.

• Experience with cloud platforms (e.g., AWS, Google Cloud, or Azure) is a bonus.

• Problem Solving and Research Skills:

• Ability to troubleshoot issues in AI workflows and propose innovative solutions.

• Eagerness to learn and implement the latest AI advancements.

• Preferred Experience:

• Participation in hackathons or similar problem-solving competitions.

• Previous exposure to AI/ML projects or personal experiments with automation.

What We Value:

• Ambition and Growth Mindset: You’re eager to learn, adapt, and grow with the team.

• Curiosity and Innovation: A desire to experiment with new technologies and ideas.

• Team Collaboration: Ability to work effectively in a dynamic, fast-paced environment.

• Adaptability: Comfort working on new and unconventional AI applications.

Why Join Us?

• Hands-On AI Innovation: Work on cutting-edge AI tools shaping the future of productivity.

• Fast Growth Opportunities: Rapidly develop skills and advance your career in a supportive team.

• Impactful Work: Contribute to a product that directly transforms how businesses operate.

• Creative Environment: Join a team that values experimentation, bold ideas, and collaboration.

What You’ll Do

• Design and build scalable, production-grade Golang services supporting inference, fine-tuning, and model instance management
• Architect the system for multi-tenant deployment, performance, and secure API-based access
• Lead initial engineering execution while building and mentoring a high-performing team
• Own critical pieces of infrastructure and deployment, leveraging GCP-native tools and services (e.g., GKE, Cloud Run, IAM, Cloud Storage, etc.)
• Guide platform integration with AI/ML model lifecycle tools, including model loading, versioning, and post-training workflows
• Collaborate with leadership on product roadmap, hiring, and operational scaling — including helping establish a regional hub or office

• Work hands-on across technical domains: networking, infra, auth, observability, deployment, and CI/CD

   

What We’re Looking For

• Strong Golang experience, ideally in systems-level, infrastructure, or backend API development
  Deep familiarity with Google Cloud Platform (GCP) — services like GKE, Cloud Functions, Pub/Sub, BigQuery, IAM, and monitoring
• AI/ML infrastructure knowledge — including model inference workflows, containerized model serving, and integration with open-source or proprietary model systems
• Experience designing API-first systems, with attention to developer experience, performance, and scale
• Demonstrated ability to lead engineering teams — hiring, mentoring, and defining team structure
• Comfortable operating in fast-paced, ambiguous environments where priorities evolve and responsibilities span multiple functions
  Bonus: experience with private cloud deployments (OpenStack, Kubernetes on bare metal, etc.)

What We Offer

• Competitive compensation in a high-impact venture
• Early influence over product architecture, tech stack, and team composition
• Opportunity to work on cutting-edge AI infrastructure with real-world adoption
• High autonomy and trust — a seat at the table as we scale
• Flexible remote-first work environment with potential for regional team building or office setup
• Flat structure, zero bureaucracy, and true builder culture

About Corvex

Corvex delivers unparalleled cloud-based AI infrastructure, featuring cutting-edge NVIDIA GPUs that combine exceptional reliability, security, performance, and value. We're ready to build a world-class experience for developers and data scientists across enterprise and AI-native organizations that will enable professionals to focus exclusively on training, fine-tuning, and inference of their AI models, while we manage the nuts and bolts of our premium infrastructure.

We're looking for a high-agency technical leader who thrives in early-stage environments, enjoys working across the stack, and can effectively rally a technical team around a vision. This is a rare opportunity to drive a critical product from scratch — while shaping both the tech and the team behind it.