Jobs ML / AI

Meet the YozmaTech

YozmaTech isn’t just another tech company — we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.

Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family — you’ll feel right at home with us.

We are now launching our next growth engine — AI-powered, automated, and data-driven.

This role is not about coordination. We are looking for a builder who will own and develop our end-to-end Outreach & GTM Engine.

Key Requirements:
🔹 2+ years of experience in SDR, Growth, RevOps, GTM, or Marketing roles;
🔹 Strong hands-on CRM experience (HubSpot / Monday — customization and workflow building);
🔹 Experience with automation tools (n8n, Zapier, Make, Clay, etc.);
🔹 Experience working with LLM workflows and AI tools (ChatGPT, Claude Code, etc.);
🔹 Builder mindset — able to ship fast;
🔹 High ownership and accountability;
🔹 Strong analytical thinking;
🔹 Clear communication skills;
🔹 Comfortable in a fast-paced scale-up environment;
🔹 Systems thinker, not just a task executor;
🔹 English — Upper-Intermediate or higher;
🔹 Experience in the tech outsourcing / R&D services industry;

Will be plus:
🔹 Experience building GTM systems from 0 → 1;

What you will do:
🔹 Build and optimize outbound and SDR automation systems;
🔹 Architect end-to-end CRM and GTM workflows (HubSpot / Monday);
🔹 Design and deploy AI agents for research, personalization, and qualification;
🔹 Improve funnel conversion rates and pipeline predictability;
🔹 Align GTM insights with Recruiting teams;
🔹 Drive measurable impact: more qualified meetings, lower cost per meeting, predictable pipeline growth;

Interview stages:
🔹 HR-interview;
🔹 Tech interview;
🔹 References;
🔹 Offer;

Why Join Us?
At YozmaTech, we know that great companies are built by the people who create the environment where teams can truly thrive.
We’re a global company expanding across multiple markets, and our internal teams play a key role in shaping how we grow, collaborate, and support both our clients and developers.
Here, your ideas matter. We encourage initiative, experimentation, and ownership. If you see a better way to do something — we want you to build it.
You’ll work closely with leadership, influence real decisions, and help develop new directions for the company.

From day one, you’ll get:
🔹 The opportunity to launch initiatives and shape internal processes
🔹 A collaborative international team that values ownership and trust
🔹 Exposure to global markets, startups, and innovative tech companies
🔹 Space to grow your role and take on new responsibilities as the company evolves

After You Apply
Our hiring process is clear and respectful.
You’ll always know who you’re meeting, what the role involves, and how you can contribute to the company’s growth.

Everyone’s Welcome
We believe diverse teams build stronger companies.
At YozmaTech, we create an environment where different perspectives are valued and everyone can grow.

Ready to grow with us?
Let’s talk.
Your next chapter at YozmaTech could start here.

CrunchCode — міжнародна сервісна ІТ-компанія з досвідом близько 7 років у розробці вебсервісів і вебзастосунків. Ми працюємо у форматах staff augmentation (outstaff) та outsourcing і підключаємо спеціалістів до проєктів клієнтів у довгостроковій моделі співпраці.

Ми працюємо переважно з проєктами в доменах логістики (включно з last mile),e-commerce, fintech та банкінгу, а також enterprise-рішеннями.
Для нас важливо, щоб проєкт був “чистим” і зрозумілим з точки зору етики та цінності для користувачів.

Ми принципово не беремо проєкти, пов’язані з:
● gambling / гемблінгом,
● adult-контентом та порнографією,
● шахрайством або будь-якою розробкою, що спрямована на обман чи маніпуляції.

What We Offer:
● Fully remote work
● Long-term, stable project
● High level of autonomy and trust
● Minimal bureaucracy
● Direct impact on business-critical logistics systems
● Long-term engagement, not a short-term contract.

Required: 
We’re looking for an Applied AI Engineer who combines strong ML fundamentals with the discipline of improving production AI systems through metrics, evaluation, and iteration. 
A large part of the role involves:
diagnosing failures in agent workflows
designing evaluation metrics and KPIs
improving system prompts and agent behavior
running structured experiments and measuring impact
You won’t be working in isolation on research projects - you’ll be improving systems that real users depend on.

Project Overview:
You’ll work on improving production AI systems through evaluation, experimentation, and system design.

Requirements (Must-have):
1. Strong AI/ML fundamentals. You understand the theory behind what you build and can choose appropriate methods for a problem.
Examples:
evaluation metrics (precision/recall/F1/etc.)
ranking and recommendation concepts
embeddings and similarity
experimentation methodology
Not required:
academic publications
advanced theoretical math
large-scale model training experience
2. Evaluation-driven mindset You:
think in metrics and baselines
design experiments instead of guessing
measure system improvements quantitatively
debug failures methodically
This is the most important signal for the role.

3. Experience with LLM systems You’ve worked with:
prompt design
agent workflows
evaluation of LLM outputs
production LLM integrations
4. Ability to ship production systems You can:
turn ideas into working systems
iterate based on results
balance exploration with delivery
5. Programming ability. You’re comfortable writing production code in at least one language (Python, Go, or similar) and learning others when needed.

Responsibilities:
- AI evaluation and KPI design — ~30%
- Prompt and agent system design — ~30%
- ML systems (recommendation, optimization, etc.) — ~30%
- Engineering integration — ~10%
 

Nice to Have:
- Experience improving an AI system after deployment
- Recommendation systems or ranking experience
- Optimization or constraint-based systems
- Computer vision experience
- Experience building evaluation frameworks
- Golang experience
- Startup or small-team engineering experience
- This role may not be a fit if
- You are looking for a research focused role without production deployment
- You rely heavily on frameworks without understanding fundamentals
- You’re uncomfortable working with partially-defined problems
- You prefer narrow specialization over product ownership

Hiring Process:
- Intro call
- Technical discussion (focused on real experience)
- Offer
Start: ASAP
 

We are seeking a highly skilled and motivated Machine Learning Developer to join our dynamic team, focusing on developing, deploying, and optimizing Large Language Models for chatbot applications. This role involves working on cutting-edge AI technologies to create conversational agents that provide engaging and insightful interactions with users. The ideal candidate will have a strong background in machine learning, Natural Language Processing, and experience in developing LLM-based chatbots.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• +5 years of experience in machine learning and NLP, with a focus on developing applications using LLMs.
• Proficiency in programming languages such as Python and frameworks/libraries like TensorFlow, PyTorch, Hugging Face Transformers.
• Experience with cloud services (AWS, Azure, GCP) for deploying ML models and applications.
• Strong understanding of RESTful APIs for integrating chatbot functionalities into different platforms.
• Familiarity with version control tools (e.g., Git) and ML development tools (e.g., Jupyter Notebooks, MLflow).
• Participate in pre-sales activities, including developing ML offering materials and engaging with clients to understand their needs, presenting tailored solutions, and demonstrating the potential impact of our ML technologies.

• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

   

Preferred Qualifications:

• Knowledge of front-end technologies (HTML, CSS, JavaScript) for crafting interactive chatbot interfaces is advantageous but not required.
• Certifications or advanced training in machine learning, cloud architectures, or similar fields.
• Active participation in relevant tech communities or contributions to open-source projects in the ML/NLP domain.

Job Responsibilities:

• Design and implement chatbot solutions using Large Language Models such as OpenAI GPT API or similar frameworks.
• Collaborate with cross-functional teams to integrate chatbot solutions into existing platforms and workflows.
• Optimize and fine-tune LLMs for performance, accuracy, and user engagement.
• Build and optimized RAG and vectorized databases
• Monitor and evaluate the performance of chatbot applications, identifying areas for improvement and implementing updates.
• Stay up-to-date of developments in AI, machine learning, and NLP to ensure our solutions remain cutting-edge.
• Develop and maintain documentation related to ML models, including model design, deployment details, and performance metrics.
• Work with data engineers to ensure the availability and quality of data for training and fine-tuning models.
• Implement security measures to protect sensitive information processed by chatbots

What we offer:

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

Duck Agency helps businesses automate their operations using nocode / lowocBasic Docker / cloud ddeploymentea and AI. We build agents and workflows for operational, marketing, and sales teams — tools that actually replace manual work, not just demos.

We're looking for an AI developer who can build agents that analyze data, generate reports, take actions (send messages, update systems, create documents), and automate repetitive processes that people currently do by hand.

What you'll do:

• Build AI agents that automate end-to-end business workflows
• Process and summarize large datasets (CSV, tables, DB exports)
• Integrate agents with APIs, CRMs, Google Sheets, Slack, Telegram, and other tools
• Identify manual processes and turn them into automated pipelines

Requirements:

• Real experience building AI agents (not just API calls — actual agent logic with tools, memory, actions)
• Comfortable with structured data: SQL, CSV, Pandas
• Prompt engineering, function calling, tool use — you know what these mean in practice
• Ukrainian, Russian, or English — any one is fine

Nice to have:

• n8n, Make, Airtable, or Monday.com experience
• RAG pipelines, vector databases

Everstake is the largest decentralized staking provider in Ukraine and a key player in the global Web3 infrastructure space. We’re scaling fast and exploring automation as a critical part of operational excellence.

We’re looking for an experienced n8n specialist with a strong technical background in process automation and integrations — including AI prompt engineering to help us build smarter, faster, and more scalable internal systems.

About the Role:

In this role, you will design, develop, and maintain n8n automation workflows that enhance business functions across the company. From optimizing internal processes to integrating AI-powered solutions, your work will directly impact how efficiently and effectively our teams operate.

What You’ll Do:

• Design and implement automation workflows using n8n;
• Build and maintain custom integrations via APIs;
• Work closely with internal teams to streamline repetitive processes;
• Develop effective AI prompts to integrate large language models (LLMs) into business operations;
• Monitor and maintain database connections and automation reliability.
   

 Requirements:

• 2+ years of experience in software development (JavaScript or Python preferred);
• Solid experience with API development and integrations;
• Practical knowledge of relational databases;
• Hands-on experience with n8n workflow automation;
• Experience crafting optimized AI/LLM prompts;
• Strong problem-solving skills and attention to detail;
• Proactive mindset and ability to work autonomously.
   

 Nice to Have:

• Previous work with automation platforms (e.g., Zapier, Make, Airflow);
• Understanding of SaaS tools and business workflows;
• Interest in Web3 and blockchain technologies.
   

 What We Offer:

• Remote-first work environment;
• Professional growth and development opportunities;
• Access to tools, learning budgets, and internal expertise;
• Opportunities to work on cutting-edge blockchain technology.

Role Summary
You will play the role of a semantic architect behind our AI‑powered Knowledge Graph supporting flavor and beverage innovation. This role is responsible for designing ontologies, SHACL validation frameworks, and YARRRML mapping rules that enable structured, high‑quality, machine‑interpretable R&D knowledge. Working closely with flavor scientists, product developers, data engineers, and AI teams, the Ontologist will translate complex scientific concepts into formal knowledge models, maintain consistent terminology and synonyms across domains, and ensure that all R&D data can be integrated, reasoned over, and leveraged for advanced discovery and formulation insights. This position is central to accelerating innovation, improving knowledge reuse, and enabling next‑generation intelligent tools for the R&D organization.

Key Responsibilities

1.Ontology Design & Semantic Modeling
Work with business stakeholders to identify and maintain a set of competency questions that the ontology must support.
Design, extend, and maintain ontologies covering ingredients, flavors, sensory attributes, formulations, human trials, regulatory concepts, and experimental processes.
Perform conceptual modeling with domain experts and translate concepts into formal RDF/OWL semantics.
2. SHACL Constraint and Validation Framework
Develop and maintain SHACL shapes to enforce data quality, structural validity, consistency rules, and business constraints across the Knowledge Graph.
Collaborate with data engineers to validate incoming data streams using SHACL rules and produce validation reports.
3. YARRRML & Semantic Mapping Design
Design and maintain YARRRML mapping rules to transform heterogeneous R&D datasets into RDF/Knowledge Graph structures.
Work with data engineering teams to operationalize RML/YARRRML pipelines within ingestion workflows.
4. Knowledge Graph Integration & Reasoning
Collaborate with the development team to integrate ontologies into reasoning engines, entity extraction workflows, and semantic search pipelines.
Support entity alignment, relationship modeling, and enrichment algorithms that drive flavor discovery.
5. Synonym, Terminology & Vocabulary Management
Build and maintain synonym dictionaries, alternative labels, multilingual terms, and context-specific vocabulary used by flavorists and product developers.
Ensure synonym management is consistently reflected across ontologies, SHACL shapes, and mapping rules.
Facilitate terminology alignment workshops with subject matter experts.
6. Governance, Versioning & Documentation
Establish and maintain ontology governance including version control, documentation, and change-management workflows.
Maintain high-quality documentation, competency questions, term definitions, and modeling rationales.
Required Qualification

Proven experience with RDF, RDFS, OWL, and SPARQL.
Hands-on work with ontology editors (e.g., Protégé, TopBraid Composer).
Strong understanding of SHACL, RML/YARRRML, or equivalent mapping frameworks.
Experience in semantic modeling and conceptual data design.
Experience in food science, chemistry, sensory science, or CPG R&D domains.

Preferred Qualifications

Degree in Knowledge Engineering, Information Science, Semantic Technologies, Computational Linguistics, or related fields.
Knowledge of industry ontologies or semantic standards (e.g., SKOS, SAREF, DOLCE, IOF).
Familiarity with graph databases (e.g., Neo4j, GraphDB, Stardog) and knowledge-graph architectures.

We seek an AI Engineer with strong expertise in state-of-the-art techniques for RAG, LLM Agents. You will be responsible for designing, developing, and deploying AI-driven solutions for our Clients and in-house solutions. The ideal candidate has hands-on experience with a wide range of techniques in modern Agents development.

🧙‍♂️ In This Role You Will

• Develop AI agents, including chat agents and metric extraction agents.
• Create evaluation pipelines for agents, including tool usage and RAG (Retrieval-Augmented Generation) assessments like coherence and relevance.
• Improve results from Qdrant & Azure AI Search.
• Research and apply state-of-the-art techniques for agents and RAG systems.
• Maintain and support evaluation datasets.
• Write documentation for back-end integration or handle integration directly when needed.
   

🎯 You May Be Interested If

• You are excited about learning and working with AI technologies.
• You enjoy solving complex problems and have strong analytical skills.
• You thrive in a remote work setup and appreciate flexible working hours.
• You are eager to join a small, dynamic team and make a big impact.
• You value a company culture that promotes transparency, respect, and continuous learning.
• You are self-motivated and willing to learn new skills.
• Active code agents user.
   

🍰 Role Requirements

Agents

• Experience in LLM Agents architecture (not only Langchain)
• Vector databases: Qdrant / Milvus (must have experience with at least one)
• Azure AI Search, BM25 experience
• Semantic Reranking
• RAG evals (embeddings, LLM as a Judge)
• RAG (Naive, Graph, Hybrid, Agentic)
• Experience in different data mining techniques from unstructured data
• OCR
• LangChain / PydanticAI

Web (nice to have)

• Django (DRF)
• Fastapi
• Celery

Infrastructure

• Azure Cloud
• Docker
   

💻 Working Conditions

• This is a fully remote position with the entire team across Ukraine.
• The team collaboratively defines deadlines, ensuring a balanced and manageable workload. The focus is on delivering commitments on time.
• 20 working days of paid vacation per year.
• Financial compensation for completing certifications and encouraging continuous learning and professional development.
• Flexible working hours to promote a healthy work-life balance.

Hi! We're building a dedicated AI division — creating both internal tooling and customer-facing AI products. Startup energy, backed by our established 20+ year tech company. New York and Krakow hubs, horizontal structure, direct impact.

What You'll Do

- Build AI-powered tools for internal teams and external customers
- Work directly with LLMs: prompt engineering, evaluation, quality measurement
- Design multi-model solutions — choosing the right model for the right task
- Create APIs, frameworks, and infrastructure that make AI reliable in production
- Measure and improve AI output quality using evaluation frameworks and human feedback

 What We're Looking For

Must have:

- You understand how LLMs behave — not just how to call their APIs
 (You can explain why a model hallucinates and what to do about it)
- Hands-on experience with multiple model families
 (Claude, GPT, Gemini, DeepSeek, open-source — at least 2-3)
- You've measured AI output quality in production
 (Evaluation frameworks, LLM-as-judge, human validation — any approach counts)
- Prompt engineering as a craft, not a buzzword
 (You iterate, test, and know why your prompts work)
- Backend development experience (Python preferred, any language accepted)
- 2+ years professional software development

Signs you're a great fit:

- You know the difference between GPT-4o, Claude Sonnet, and Gemini Flash
 — and when to use which
- You've built something with AI that solves a real problem (not just a tutorial)
- You've improved AI output quality and can tell us how you measured it
 

Nice to have (we'll teach the rest):

- Experience building developer tools or frameworks
- Multi-agent systems (LangGraph, CrewAI, AutoGen)
- Knowledge of evaluation tooling (LangSmith, Ragas, DeepEval, custom solutions)
- Background in Java or high-performance systems

We are looking for a Senior Data Scientist with strong technical expertise and a practical mindset to work on complex data-driven challenges. In this role, you will design and implement ML and GenAI solutions, experiment with modern approaches, and transform ambiguous business problems into scalable, production-ready systems.

Requirements
Must-have

• 4+ years of experience in Data Science
• 4+ years of hands-on experience with Python
• Strong understanding of Machine Learning fundamentals, including:
  • regression and classification models
  • feature engineering and model evaluation
• Practical experience with LLMs and GenAI, including:
  • GPT / ChatGPT or similar LLMs
  • LangChain
  • Retrieval-Augmented Generation (RAG)
• Experience with EDA, data preprocessing, and basic dimensionality reduction (e.g. PCA)
• Hands-on experience with tree-based models (e.g. XGBoost)
• Experience building scalable and high-load solutions
• Ability to write clean, maintainable code
• Participation in technical and architectural decisions
  
  Nice to have
• Experience with NLP libraries (SpaCy, Hugging Face)
• Understanding of Explainable AI (XAI) and model interpretability
• Experience with cloud platforms (AWS / GCP / Azure)
• Ability to translate business problems into ML solutions

• Background in R&D, experimentation, or prototyping

  
  Key Responsibilities

• Design and develop scalable Data Science and GenAI solutions aligned with business goals.
• Build, evaluate, and optimize ML models, including:
  -linear models
  -gradient boosting (XGBoost)
  -NLP and LLM-based solutions
• Develop and productionize LLM-powered applications using LangChain and RAG approaches.
• Perform EDA, feature engineering, dimensionality reduction (PCA), and model evaluation.
• Apply XAI techniques to ensure model transparency and explainability.
• Contribute to data science architecture and solution design.
• Write clean, maintainable code and participate in code and design reviews.
• Optimize performance and reliability of high-load systems.
• Conduct R&D activities: explore new ML/GenAI techniques and assess their practical impact.
• Collaborate with engineering, product, and business teams to deliver impactful data-driven solutions.
  
  We offer:
• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary nominated in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

   

We are looking for a specialist who will be responsible for the development and maintenance of a complex AI-powered search system built on top of a large interactive knowledge base. The system includes tool calling and agentic behavior that interact with internal tools and multiple types of storage: vector databases for semantic search, document-oriented databases for full-text search, as well as relational and graph databases for lookup by specific identifiers. The search interface is built as an LLM-powered chat that supports natural language queries and returns well-grounded conclusions, recommendations, and links to primary sources.

The candidate will be responsible for designing and implementing the full LLM-powered search pipeline, including orchestration, reasoning, reranking, tool calling, handling tool outputs, validating results, and generating final user-facing responses.

We expect the candidate to:

• Have hands-on commercial experience working with vLLM in self-hosted environments, including model optimization on H100/H200 GPUs, with a solid understanding of GPU architecture principles and cache behavior under production workloads.
• Have a deep understanding of the RAG concept and a proven track record of successfully deploying similar solutions in production.
• Have worked with Haystack, LlamaIndex, LangChain, or similar frameworks, and understand the core differences between them.
• Have experience using MCP and working with LLMs that call external tools and services.
• Have strong Python skills, including architectural principles, design patterns, multithreading, asynchronous programming, modern testing practices, and experience operating systems under load (monitoring, memory optimization, telemetry).
• Have experience working with document-oriented, relational, and vector databases, including an understanding of index types and the appropriate use cases for each.

It would be a plus if you have:

• Experience building or maintaining knowledge bases, AI-powered reporting systems, or chatbots with large context windows.
• Experience training or fine-tuning LLMs or compact models for domain-specific tasks.
• Practical DevOps experience: CI/CD, Kubernetes, Helm, ArgoCD.
• Experience developing OCR- and Vision-Language-based systems for processing unstructured data.
• Experience in data engineering: understanding of ETL/ELT processes, working with orchestrators (Airflow, Temporal, Prefect), and distributed computing systems (Ray, Spark).
• Experience working with Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j, and other database systems.
• Understanding of cybersecurity processes and modern approaches to data protection.

We offer a fully remote work format on our own product, which uses state-of-the-art technologies and is focused on the public sector. The company has the status of being critically important to the Armed Forces of Ukraine. If needed, we provide military deferment and the necessary office equipment.

–––––––––––––––––––––––––––––––Рідною–––––––––––––––––––––––––––––––

Шукаємо фахівця, який буде відповідати за розробку та супровід комплексної AI-powered пошукової системи на основі великої інтерактивної бази знань. У системі реалізовано tool calling та agentic behaviour, що працюють із внутрішніми інструментами та різними типами сховищ: векторними базами для семантичного пошуку, документоорієнтованими для повнотекстового пошуку, а також реляційними та графовими базами для пошуку за конкретними ідентифікаторами. Інтерфейс пошуку побудовано у форматі LLM-powered чату, який підтримує запити natural language і повертає аргументовані висновки, рекомендації та посилання на першоджерела. 

У зону відповідальності кандидата входитиме проєктування та впровадження повного пайплайну LLM-powered пошуку, включно з orchestration, reasoning, reranking, tool calling, обробкою відповідей інструментів, валідацією результатів та формуванням фінальних відповідей для користувача. 

Ми очікуємо, що кандидат: 

• Має практичний комерційний досвід роботи з vLLM у self-hosted середовищах, включно з оптимізацією моделей на GPU H100/200, розумінням принципів GPU-архітектур та поведінки кешу під продакшн-навантаженням. 
• Глибоко розуміє концепцію RAG та має досвід успішного впровадження подібних рішень у продакшені. 
• Працював з Haystack / LlamaIndex / LangChain або аналогічними фреймворками та орієнтується в принципових відмінностях між ними. 
• Має досвід використання MCP та роботи з LLM, які викликають зовнішні інструменти й сервіси. 
• Володіє Python на високому рівні: архітектурні принципи, шаблони проєктування, багатопоточність, асинхронність, сучасні практики тестування, а також досвід експлуатації систем під навантаженням (моніторинг, оптимізація пам'яті, телеметрія). 

• Має досвід роботи з документоорієнтованими, реляційними та векторними базами даних, включно з розумінням типів індексів і відповідних сценаріїв застосування. 

   

Буде плюсом: 

• Досвід створення або підтримки баз знань, систем генерації звітів на базі AI, розробка чатботів із великим контекстним вікном.
• Досвід навчання або fine-tuning LLM чи компактних моделей для специфічних задач. 
• Практичний досвід у DevOps: CI/CD, Kubernetes, Helm, ArgoCD. 
• Досвід розробки систем на основі OCR та Vision-Language моделей для обробки неструктурованих даних. 
• Досвід у data engineering: розуміння ETL/ELT-процесів, робота з оркестраторами (Airflow, Temporal, Prefect) та системами розподіленого обчислення (Ray.io, Spark). 
• Досвід роботи з Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j та іншими СУБД. 
• Розуміння процесів кібербезпеки та сучасних підходів до захисту даних. 
   

Пропонуємо повністю віддалений формат роботи над власним продуктом, який використовує найсучасніші технології та орієнтований на державний сектор. Компанія має статус критично важливої для Збройних сил України. За потреби надаємо бронювання та необхідну офісну техніку.

Our company is developing its own interactive knowledge base. Users can upload any volume of diverse data, after which the system automatically transforms it into structured, searchable content. To achieve this, we use a comprehensive ML pipeline involving OCR, vision-language models, document parsers, and multiple types of data storage. Search is implemented through an LLM-based chat interface that allows users to submit queries in natural language, retrieve relevant documents, and receive summarized findings and recommendations based on the uploaded materials.

We are currently looking for an ML/AI Engineer with deep experience working with unstructured content - primarily photographs and scanned document copies - who will strengthen our team and lead the development of pipelines and solutions for processing this type of data.

We expect the candidate to:

• Have broad experience working with unstructured data and have used both classical OCR systems (Tesseract, PaddleOCR, EasyOCR) and modern models (PaddleOCR-VL, DeepSeek-OCR, dots.ocr, Qwen3-VL). Understand the strengths and weaknesses of different architectures and the scenarios in which each is most effective.
• Have hands-on experience training and fine-tuning OCR and Vision-Language models.
• Understand algorithmic approaches to image enhancement, preprocessing, and filtering in order to improve downstream recognition quality.
• Have worked with Docling (including advanced backend tuning for parsing complex PDFs and tables), markitdown, Apache Tika, PyMuPDF, and other tools for document conversion and structuring. Be comfortable with processing layered and non-trivial PDF files.
• Have experience working with self-hosted models, including deploying and optimizing models in vLLM environments on H100-class GPUs and above, and understand the principles of GPU architecture and KV cache.
• Have strong Python programming skills, including architectural patterns, multithreading, asynchronous programming, modern testing practices, and experience operating services under high load (monitoring, telemetry, memory utilization).
• Have experience working with document-oriented, relational, and vector databases, and understand index types and the relevant use cases for each type of storage.

It would be a plus if you have:

• Experience working with Speech-to-Text or Video-to-Text pipelines.
• Experience in content analysis, including classification, summarization, and NER.
• Experience in data engineering: understanding of ETL/ELT processes, experience with orchestrators (Airflow, Temporal, Prefect), and distributed computing systems (Ray, Spark).
• Experience in DevOps: CI/CD, Kubernetes, Helm, ArgoCD.
• Experience working with Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j, and other storage systems.
• Understanding of modern cybersecurity approaches.
• Hands-on experience with production-grade RAG-based systems.

We offer a fully remote work format on our own product, which uses state-of-the-art technologies and is focused on the public sector. The company has the status of being critically important to the Armed Forces of Ukraine. If needed, we provide military deferment and the necessary office equipment.

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Наша компанія розробляє власну інтерактивну базу знань. Користувачі можуть завантажувати будь-який обсяг різноманітних даних, після чого система автоматично перетворює їх на структурований, придатний для пошуку контент. Для цього застосовується комплексний ML-пайплайн із залученням OCR, VL моделей, документних парсерів та різних типів сховищ даних. Пошук реалізовано через чат на базі LLM, який дозволяє формувати запити звичайною мовою, отримувати релевантні документи, а також узагальнені висновки та рекомендації на основі завантажених матеріалів. 

Зараз ми шукаємо ML/AI інженера з глибоким досвідом роботи з неструктурованим контентом (насамперед фотографіями та скан-копіями документів), який підсилить нашу команду та очолить напрям розробки пайплайнів і рішень для обробки таких даних. 

Ми очікуємо, що кандидат: 
• Має широкий досвід роботи з неструктурованими даними та застосовував як класичні OCR-системи (Tesseract, PaddleOCR, EasyOCR), так і сучасні моделі (PaddleOCR-VL, DeepSeek-OCR, dots.ocr, Qwen3-VL). Розуміє сильні та слабкі сторони різних архітектур і сценарії їх застосування. 
• Має практичний досвід навчання та fine-tuning OCR і Vision-Language моделей. 
• Розуміє алгоритмічні методи покращення зображень, їх попередню фільтрацію та обробку для підвищення якості подальшого розпізнавання. 
• Працював з Docling (включно з тонким налаштуванням бекендів для парсингу складних PDF і таблиць), markitdown, Apache Tika, PyMuPDF та іншими інструментами для конвертації й структуризації документів. Орієнтується у процесингу багатошарових і нетривіальних PDF-файлів. 
• Має досвід роботи з self-hosted моделями, зокрема запуску та оптимізації моделей у середовищах vLLM на GPU рівня H100 і вище, розуміє принципи GPU-архітектури та KV cache. 
• Має сильні навички програмування на Python: архітектурні патерни, багатопоточність, асинхронність, сучасні практики тестування, досвід експлуатації сервісів під високим навантаженням (моніторинг, телеметрія, утилізація пам'яті). 
• Має досвід роботи з документоорієнтованими, реляційними та векторними базами даних, розуміє типи індексів і відповідні юзкейси для кожного типу сховищ. 

Буде плюсом: 
• Досвід роботи з Speech-to-text або Video-to-text пайплайнами.
• Досвід аналізу контенту: класифікація, сумаризація, NER. 
• Досвід у data engineering: розуміння ETL/ELT-процесів, робота з оркестраторами (Airflow, Temporal, Prefect) та системами розподіленого обчислення (Ray.io, Spark). 
• Досвід у DevOps: CI/CD, Kubernetes, Helm, ArgoCD. 
• Досвід роботи з Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j та іншими сховищами. 
• Розуміння сучасних підходів до кібербезпеки. 
• Практичний досвід із системами на основі RAG у продакшені. 

Пропонуємо повністю віддалений формат роботи над власним продуктом, який використовує найсучасніші технології та орієнтований на державний сектор. Компанія має статус критично важливої для Збройних сил України. За потреби надаємо бронювання та необхідну офісну техніку.

TRENDFORMER is an innovative product company because we don’t just make toys. At TRENDFORMER we’re changing the face of play.

Our professional and creative team has developed and successfully launched unique products internationally under the brands PIXIO (https://pixio.site/), HEY CLAY (https://hey-clay.com/) and VOXART (https://vox.art/). Today, our products are sold in more than 50 countries worldwide. These products are designed to spark creative potential, take children on a fantastic journey of discovery and crafting, and inspire learning through play.

We’re looking for talented AI Animation & Post-Production Directors with hands-on experience creating animated video content using modern neural networks and AI tools. We value not only technical skills, but a strong directorial mindset and visual storytelling ability, including the capacity to translate a script into clear visual language and expressive character action.

Your responsibilities:

• Create animated AI videos (short formats, video scenes, concept reels)
• Develop storyboards / animatics (visual scene logic, building the narrative rhythm of the video)
• Define the style and references, test different approaches and tools
• Assemble videos from frames, AI generation, animated elements, effects, and transitions
• Edit videos: pacing, rhythm, storytelling, syncing with music/sound
• Work as part of a team: receive comments, implement revisions quickly, and bring tasks to a polished final result
• Maintain quality control (style consistency, cohesiveness, pacing, scene logic)

Our ideal candidate has:

• 1+ years of experience in video content creation / animation / AI video;
• Proven experience as a post-production or animation director;
• Ability to work with storyboards and translate scripts into engaging visual storytelling;
• A strong showreel (required) — examples specifically of AI/animated video work;
• Willingness to complete a test task;
• Hands-on experience using AI / neural networks in a production pipeline (not just “tried it once” — you use it consistently);
• Strong teamwork skills and ability to process feedback and comments professionally;
• Ability to work under tight deadlines;
• Responsibility and autonomy: able to organise your process independently, find solutions, and bring tasks to completion;
• Punctuality, reliability, and strong deadline management.

Additional skills & tools (nice to have):

• Motion design / VFX / compositing experience;
• Art direction background;
• Ability to do clean-up, upscaling, denoising, stabilisation, flicker control;
• Character animation / stylisation experience;
• Basic sound design skills: music selection and syncing with rhythm;
• Experience working with pipelines (Notion / Figma / Google Drive / Frame.io or similar tools);
• Understanding of TikTok / Reels / Shorts formats and fast-paced editing language.

Tools:

We’re open to different production pipelines — the most important thing is results and consistent quality.

Experience with the following tools is a plus:

• AI video generation tools / AI animation tools;
• Editing tools (Premiere / After Effects / DaVinci / CapCut / etc.);
• Image generation / stylisation / maintaining character consistency;
• Upscaling / post-production enhancement tools.

We offer:

• The opportunity to shape globally recognized products that kids and families love;
• Flexible work format (remote or hybrid);
• A supportive, creative, and forward-thinking team;
• Open-door culture and direct communication;
• Competitive salary (negotiable based on engagement format and experience).

If you love combining technology + strong artistic vision, can quickly assemble animated scenes, enjoy exploring new tools, and know how to work with feedback — we’d love to meet you!

For 10 years, we have created a premium look for businesses through web design, UX/UI design, and brand identity. Our projects are recognized by the world’s leading design awards such as Webby, Red Dot, and Awwwards. We work with clients from over 50 countries, including VISA, FIFA, UNICEF, and Mercedes-Benz.

We are looking for an AI Content Creator for project-based collaboration who will support our team in producing high-quality AI-generated visual content for marketing campaigns, social media, and client presentations.
 

Responsibilities:
- creating visual content using AI tools (text-to-image);
- generating images for marketing materials, social media, advertising campaigns, and client presentations;
- writing and optimizing prompts to achieve the required style, composition, and image quality;
- adapting generated visuals according to clients’ brand guidelines;
- preparing mood boards and visual concepts together with the design team;
- basic image post-processing (upscaling, retouching, compositing in Photoshop or similar tools);
- creating multiple creative variations for selection and A/B testing;
- integrating AI-generated images into design layouts (banners, social media visuals, landing pages);
- maintaining a consistent visual style across projects;
testing new AI image-generation tools and improving the workflow.
 

Additional:
- styling images in different visual styles;
- preparing assets for designers;
- optimizing generation processes for faster production workflows.
 

Interview stages:
- HR interview (30 minutes);
- Test task.

Key Skills:

• CI/CD for Machine Learning: Proficiency in automating complex ML pipelines, specifically integrating Hardware-in-the-Loop (HiL) testing stages.
• Container Orchestration at the Edge: Expertise in managing lightweight container runtimes and registry services for ARM64-based automotive platforms.
• Automated Benchmarking: Experience building "auto-profiling" scripts that capture low-level hardware metrics using system-level performance diagnostics.
• Model Lifecycle Tools: Deep knowledge of experiment tracking and model registry platforms used to manage high-dimensional VLM artifacts.
  Scripting & Integration: Strong Python and Shell skills for bridging disparate tools in the NVIDIA-based software stack.

Job Responsibilities

Key Responsibilities:

• Automated Deployment Pipelines: Build and maintain CI/CD workflows that automatically trigger model conversion, quantization, and deployment to the target hardware upon code or model updates.
• Environment Virtualization: Manage containerized development and execution environments to ensure consistency between high-power training servers and the resource-constrained target platform.
• Performance Observability: Implement automated monitoring for inference telemetry (latency, throughput, memory pressure, and thermal metrics) during automated test runs.
• Model Versioning & Lineage: Establish a system for tracking model iterations, ensuring that every optimized artifact is tied to its specific training data, quantization parameters, and hardware-specific plugins.
• Inference Service Management: Configure and optimize unified inference serving engines to handle concurrent requests and streaming data on the target SoC.

Department/Project Description

We are seeking a highly specialized MLOps Engineer (Edge & Accelerated Computing) to develop and manage the continuous deployment, optimization, and monitoring infrastructure for high-dimensional Vision-Language Models (VLM) running on resource-constrained, NVIDIA-based automotive platforms.

Skill Category

AI/ML

ABCloudz is a dynamic technology company specializing in software development, modernization, and digital transformation, with a strong focus on building AI-driven solutions.
We are looking for a motivated Trainee Software Engineer who is eager to grow in development and take part in AI research and implementation.
If you already have a foundation in JavaScript, TypeScript, and Python and want to develop your skills while working with AI and Web3 technologies, this is the perfect opportunity to start your career and Internship Program with us.

Requirements

•    Willingness to learn and thirst for knowledge
•    Basic knowledge of Object Oriented Programming
•    Solid knowledge of Java Script and TypeScript
•    Knowledge of Python
•    Understanding of basic NodeJS concepts
•    Understanding REST API
•    Experience with Linux-like OSs, console
•    Basic understanding of algorithms and data structures
•    Basic knowledge of Git, Docker (console or UI clients)
•    Experience with relational DBs, basic SQL knowledge
•    At least the Intermediate level of English
Will be a plus:
Understanding WebSockets
Understanding software architectures and architecture patterns
Familiarity with module testing
Understanding NoSQL DBMS (MongoDB, Redis)
Familiarity with Nest.JS
Familiarity with LLM and ML
Familiarity with web3 technologies

Responsibilities

• Develop and maintain backend features using Node.js and NestJS under guidance
• Implement REST and basic GraphQL endpoints following existing patterns
• Contribute to microservice-based applications
• Implement simple inter-service communication using NATS or RabbitMQ. Handle basic event publishing and consuming
• Assist in integrating LLM-based features using existing SDKs or APIs
• Interact with blockchain networks using libraries
• Assist in implementing wallet-based authentication
• Implement and test smart contract interactions
• Write clean, readable, and well-documented code
• Fix bugs and address technical debt in existing services
• Write basic unit tests (Jest)
• Participate in code reviews (as a learner)

Internship Program Details

• The training program lasts 5 weeks and is free of charge for students on both sides. You will receive tasks for each training week and complete them at your convenience. At the end of each week, you will have a 30-minute meeting with a mentor. Therefore, the time required to complete the tasks may vary individually.
• The program includes working on real tasks and gradual involvement in the company’s internal processes.
• Upon successful completion of the training, we offer further cooperation with the company on our own product.
• At the beginning of cooperation (after successful completion of the training), we offer $400 gross. After completing the probation period, the compensation increases to $500 gross