Jobs Ukraine

Codefinity is a fast-growing EdTech company on a mission to make tech education accessible, engaging and truly practical. We help people from all over the world master in-demand programming skills and build meaningful careers in tech.
 

Our platform has already empowered hundreds of thousands of learners globally — from complete beginners to industry professionals — through interactive, hands-on courses designed to accelerate real skill growth.
 

We’re a team of ambitious and creative people who love what we do and move fast. We experiment, learn and constantly raise the bar to achieve bold goals. At Codefinity, every idea can make a difference, and every team member has a real impact on our growth story.

What you will do

• Systematically develop high-performing creatives for Meta to drive user acquisition
• Conduct creative and competitive research, analyzing market trends, best practices, and audience behavior
• Formulate and prioritize creative hypotheses based on performance data and previous test results
• Develop concepts for performance campaigns, including video scripts, static designs, hooks, and messaging
• Prepare structured briefs for designers and production teams, overseeing the process from concept to final delivery
• Analyze test results (CTR, CPA, CPM, ROAS) and initiate iterations for successful assets
• Explore and implement AI-powered tools to enhance productivity and creative output

What we are looking for

• 6+ months of experience in performance marketing, preferably with Tier1 markets;
• Understanding of Paid Social (Meta) dynamics: formats, hooks, messaging, and platform specifics;
• Ability to analyze key metrics (CTR, CPM, CPA, ROAS) and conduct competitive research;
• Copywriting skills and knowing how to transform ideas into catchy headlines;
• English level B1 (Intermediate) or higher.

Benefits

• Work on a high-impact EdTech product within an ambitious global team
• 20 working days of paid vacation per year, plus public holidays.
• An office with a reliable shelter, generators, satellite internet, and other amenities.
• Access to our corporate knowledge base and professional communities.
• Compensation for English language learning, external training, and courses.
• Medical insurance and full sick leave compensation.
• In-office medical support and professional massage services
• Sports activities: running, yoga, boxing, and more.

bill_line is a technology platform providing financial solutions for online businesses.
We help clients simplify complex financial processes and scale their businesses.

Our product is a flexible platform that we adapt to the needs of each client. We take on part of the technological and financial processes so that companies can focus on growth and operate more efficiently.

We apply the same approach within our team:
flexibility, responsibility, and focus on results.
If this sounds like you — we’d be happy to get to know you.

Why bill_line?

We create solutions that work like a “Swiss army knife” in the fintech world 🌍
for businesses that accept payments worldwide.

Our approach includes:

• full client support: from the initial request to integration and transaction processing
• close collaboration between bizdev, support, legal, and finance teams
• deep understanding of the client’s business, not just service delivery

We are proud of our results, but our main value is people.
We have a strong, professional team with whom it is exciting to work, grow, and achieve ambitious goals together.

We are currently looking for a Chief Financial Officer (CFO) who will help us scale the financial function and influence the development of the international fintech market.

Key responsibilities:

• Development and implementation of the company’s financial strategy, supporting long-term business goals;
• Management of financial planning, budgeting, and forecasting;
• Control over accounting, reporting, and compliance with internal and external standards;
• Preparation and analysis of financial reports, providing recommendations to management;
• Cash flow management, cost optimization, and budget control;
• Interaction with banks, external auditors, and outsourcing companies;
• Development of ERP systems and financial processes;
• Team formation and management.

We expect from the candidate:

• Experience in a senior financial role (CFO) in fintech or related industries;
• Strong knowledge of financial accounting, budgeting, risk management, and financial analysis;
• Strong analytical skills, strategic thinking, and decision-making ability;
• Experience in international jurisdictions;
• Experience in implementing and optimizing financial processes and ERP systems.

💡 What we offer:

🌐 Comfortable offices
A modern office in Kyiv (Zvirynetska metro station) + a cozy EU office for those who have relocated

👨‍💻 Everything for efficient work
Top-tier equipment, necessary services, and tools — so you can focus on results, not routine

⚡ Flexible work format
Hybrid: 3 days in the office (Mon/Wed/Fri) + remote work option
An office that remains comfortable even during blackouts: stable internet, autonomous power supply, heating, gym area, shower, and even a place to rest

🏖️ Work-life balance
24 days of paid vacation + compensation for unused days

💊 Health care
Paid sick leave + medical insurance
Mental health support (sessions with a psychologist)

🥗 Daily comfort
Corporate lunches based on your preferences

🎁 Nice bonuses
Gifts for birthdays and work anniversaries

How we spend time together

😄 A team you enjoy not only working with
We are more than just colleagues — we genuinely enjoy spending time together. We hold regular events and corporate gatherings. Various formats — such as local team buildings, group hiking trips, or even surfing.

Culture💙 People care — not just words We support each other, respect everyone’s expertise, and create an environment where it is comfortable to grow.

📚 Learning and development
We cover courses, training, and seminars.
We attend international fintech, e-commerce, and crypto conferences.
We support learning English and other languages, especially for expansion into new markets.

About the Role

We are looking for a highly structured and persistent Account Manager to manage a portfolio of ~50 B2B clients, primarily in Kazakhstan and Ukraine, including banks and public sector organizations.

This role requires strong ownership, patience, and the ability to work with low-response clients, complex documentation processes, and long payment cycles.

Key Responsibilities

1. Client Management

• Manage and grow a portfolio of ~50 existing clients
• Build and maintain long-term relationships with key stakeholders
• Proactively follow up with low-engagement clients
• Identify decision-makers and ensure consistent communication
• Strong critical thinking skills (ability to ask questions, gather relevant information, and develop well-thought-out solutions and conclusions).
• Clear, structured, and effective communication skills.

2. Payments & Renewals

• Monitor payment timelines and proactively follow up
• Avoid overdue invoices
• Work closely with clients to ensure timely contract renewals
• Handle payment delays professionally while maintaining strong relationships

3. Documentation

• Prepare and manage contracts, acts, addendums, and other legal documents
• Participate in tenders: collect, prepare, and submit required documentation
• Ensure accuracy and compliance with client requirements (especially public sector)

4. Account Growth

• Identify upsell and cross-sell opportunities
• Support clients in maximizing value from YouScan
• Contribute to retention and revenue growth

5. Internal Coordination

• Collaborate with Sales, Support, and Finance teams
• Maintain accurate records in CRM
• Track client status, risks, and next steps

Work schedule: 5/2 — Mon-Fri, 10:00 – 19:00 (Kyiv time).
Location - Ukraine!

Required Skills & Experience

Must-have:

• 2+ years of experience in Account Management / Customer Success (B2B) in IT
• Experience in managing payments and signing contracts is required
• Experience working with banks, enterprises, or public sector clients
• Strong follow-up and negotiation skills (especially around payments)
• High level of organization and attention to detail
• Ability to manage multiple clients simultaneously
• Experience working with contracts and documentation

Important:

• Ability to work with low-response / hard-to-reach clients
• Persistence and ownership mindset
• Strong management communication skills mean the ability to communicate with stakeholders in a clear, structured, and proactive way that drives results. This includes setting expectations and deadlines, following up persistently, handling payment discussions professionally, and maintaining control over processes, even with low-response or complex clients.
• Time management and prioritization skills

Nice-to-have:

• Experience with tenders
• Experience working with the Kazakhstan and Ukraine markets
• Experience with tools like Intercom, Zendesk, HubSpot, Notion, and Slack is a plus.
• English (intermediate+)

Ideal Candidate Profile

• Structured and process-driven
• Persistent and not afraid of follow-ups
• Comfortable with routine and documentation-heavy work
• Able to balance client service with business goals (payments, renewals)

What we offer

• Access to modern tools and best practices for customer support and product development.
• Training and professional development opportunities.
• Structured onboarding, a comprehensive product knowledge base, and automation of routine tasks.
• Unlimited paid vacation and sick leave (Unlimited Leave Policy).
• Hybrid work with an office in Kyiv or fully remote.
• A 4-day workweek during the summer.
• Working in an ethical company with a strong market reputation and a solid internal culture.

We are looking for a talented and experienced Head of Content to join our dynamic team.

Requirements:

• Advanced proficiency in English.
• 4+ years of total experience in content creation, with significant experience in the gambling industry.
• Proven leadership skills and the ability to hire and manage.
• Strong analytical skills and the ability to interpret data to inform content strategy.
• Excellent written and verbal communication skills.
• Attention to detail and a commitment to producing high-quality content.
• Knowledge of French or Polish is a plus.

Responsibilities:

• Develop and implement a comprehensive content strategy that aligns with the company's objectives and targets.
• Lead a team of content creators, editors, and strategists to produce high-quality, engaging content across various platforms.
• Ensure all content adheres to the highest standards of quality, accuracy, and relevance.
• Collaborate with other departments to create integrated marketing campaigns.
• Analyze content performance and make data-driven decisions to optimize and improve content effectiveness.

• Stay updated with industry trends and incorporate best practices into content strategies.

   

We offer:

• Competitive salary;
• Hybrid work (you will work in the office in Kyiv and remotely);
• Flexible schedule;
• Career growth and professional development;
• Corporate parties and team buildings;
• Paid vacation and sick leaves.

appflame — Ukrainian product-driven tech company building world-class products: Hily, Taimi, AdConnect, Mailkeeper, and more.

About us:

• 7 years in the market, 500+ team members, offices in Kyiv, London, Limassol, and a co-working hub in Warsaw.
• In 2025, appflame ranked 5th among the top 50 employers in Ukraine according to Forbes and won the “Best Place for Growth” award.
• Our apps Hily and Taimi are among the top 5 dating apps in the US with over 70 million users. AdConnect and Mailkeeper focus on building proprietary B2B and B2C solutions.

Our mission:

• To put Ukrainian-built products on the global map.

Our goals:

• Break into the global top 5 product companies.
• Become a unicorn.
• Make Ukraine a country where unicorns are born.

We’re looking for bold, driven people who are passionate about building real products and dream of launching and scaling great startups. You bring the ambition — we provide the environment to make it happen.
 

What you’ll do:

• Design and develop an AI-powered productivity analytics platform — from data pipeline architecture to the final analytical product that helps teams make data-driven decisions.
• Build scalable LLM pipelines (Claude, GPT): develop data chunking strategies, implement MapReduce approaches for parallel processing of large datasets, and synthesize results into structured reports and insights.
• Create a meta-workflow system where LLMs generate, test, and deploy automation scripts in an isolated environment — with automatic self-correction loops and production deployment without manual intervention.
• Develop system-level prompt engineering: build and maintain a library of prompt templates for various analytical scenarios — from summaries and profiles to deep performance analysis.
• Build an evaluation framework for AI output quality control: hallucination detection, consistency scoring, regression tests — ensuring the product delivers reliable and reproducible results.
• Scale the platform to new domains and analysis types without linear growth in manual effort — through an architecture that allows adding new modules via configuration, not code.
• Document AI architecture, define automation specs, and present product insights to stakeholders and clients.
   

It’s a match if you have:

• 2+ years of experience working with LLMs in production: prompt engineering, pipeline development, API integration — with at least 1 year of hands-on experience with advanced features (tool use, structured outputs, agents).
• Strong Python skills (async, dataclasses, type hints, API integrations) and a commitment to writing clean, testable, and maintainable code.
• Understanding of MapReduce patterns for LLM processing: ability to choose chunking strategies, organize parallel processing, and aggregate results into a cohesive analytical product.
• Experience building agentic systems: tool use, self-correcting loops, multi-agent workflows — and the judgment to know when an agent works better than a rigid pipeline.
• Proficiency in SQL and experience working with analytical databases.
• English at C1 level — comfortable reading documentation, writing technical specs, and communicating asynchronously.
• Ownership mentality: you take tasks end-to-end, debug production issues independently, and iterate to deliver results without micromanagement.
   

Nice to have:

• Experience with orchestration/automation platforms (Windmill, Dagster, Prefect) — understanding how to build reliable automated workflows.
• Knowledge of RAG architectures, vector databases, and embedding pipelines — ability to build systems that work with large volumes of unstructured data.
• Experience building evaluation systems for LLMs (LangSmith, PromptFoo, or custom solutions) — understanding how to measure and improve AI product quality.
• Familiarity with Databricks / Delta Lake or Snowflake — experience working with modern data platforms.
• Experience working at product-driven tech companies or AI startups where you needed to build and iterate quickly.
• Understanding of product team metrics (DAU, retention, unit economics) and the ability to connect technical decisions to product impact.
   

Preferred tech stack:

Core:

• Languages: Python (primary), SQL
• LLM APIs: Claude API (Anthropic), OpenAI API
• Databases: PostgreSQL, ClickHouse
• Infrastructure: Docker, Git, FastAPI, Pydantic, pytest, asyncio

Nice to have:

• Languages: TypeScript/JavaScript, Bash
• LLM APIs: Google Gemini API
• Orchestration & Automation: Windmill, Dagster, Prefect, Airflow, Temporal
• RAG & Embeddings: LangChain, LlamaIndex, ChromaDB, Pinecone, Weaviate, pgvector,FAISS
• Eval & Observability: LangSmith, PromptFoo, Weights & Biases, Arize AI
• Databases: Redis, MongoDB
• Data Platforms: Databricks, Delta Lake, Snowflake, BigQuery
• Infrastructure: Kubernetes, AWS (Lambda, SQS, S3), GCP
• CI/CD & DevOps: GitLab CI, GitHub Actions, Terraform

Hiring process: recruiter outreach > interview > test task > final interview > job offer.

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value.
Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.

Accelerate your career with DataArt’s paid internship program designed for aspiring Quality Assurance Analysts (QAA). Successfully complete the internship and demonstrate your capabilities during the evaluation period to earn the Junior QAA qualification and the opportunity for full-time employment at DataArt.

Responsibilities

• Assist in creating and executing manual and automated test cases
• Identify, report, and track software defects
• Collaborate with development teams to ensure quality throughout the delivery cycle
• Learn and apply QA automation tools and testing frameworks
• Participate in test planning and contribute to improving test processes
• Required Skills & Experience:
• Practical programming experience with concepts such as class constructors, data types, collections, lambdas, method overriding and overloading, static/final modifiers, etc.
• Solid understanding of Object-Oriented Programming (OOP) principles
• Basic knowledge of software testing concepts (testing purpose, bugs, test cases)
• Awareness of QA Automation and the responsibilities of a Quality Assurance Automation (QAA) Engineer
• Strong spoken English communication skills

Requirements

• Basic understanding of databases and experience writing queries
• Experience with testing frameworks such as TestNG, NUnit, Jest, PyTest, or similar
• Hands-on experience or familiarity with QA automation tools and processes
• Knowledge of test types, test design techniques, and advanced testing concepts
• Understanding of client-server applications, including HTTP requests (GET/POST)

UAPP team needs a Backend Developer 

Requirements:

• experience with Java or other backend languages;
• strong understanding of OOP principles and SOLID;
• experience with Spring Boot or similar backend frameworks (e.g. NestJS, Django, etc.);
• knowledge of SQL, NoSQL and ORM tools (JPA / Hibernate or equivalents);
• experience in developing REST APIs;
• basic knowledge of algorithms and data structures;
• strong ability to learn new technologies and adapt to a new tech stack.

We offer:

• career and professional growth;
• decent salary;
• interesting projects in a professional team;
• trainings, seminars, meetings and conferences at company expense;
• pleasant and friendly working atmosphere.

UAPP is an IT company, established in 2018. We provide a full range of software development services, websites and mobile applications. Consulting, design, development, implementation, support and marketing — we do everything to achieve our clients’ business goals.

Our company's key to success is a team of professionals and like-minded people with solid practical experience in the field of project implementation for businesses and their own projects.

We offer services that are designed to take a client’s business to a new level and do everything to provide quality, innovation and creativity using the latest technology solutions.

#WeAreIn for jobs that impact everyone's life. What if your ideas could change the way the world connects, powers up, or thinks? As a Senior AI/ML Engineer on our Research & Development team, you'll have the opportunity to merge creativity with your technical expertise by shaping the future of technology, driving groundbreaking projects, and bringing new ideas to life. Are you in?

Key responsibilities in your new role

Work on innovative IoT, Industrial, and Automotive technologies in a fast-moving R&D team, turning ideas into real products and patents. 

• Design and develop efficient Neural Network (NN) models with sophisticated architectures for embedded domain, strongly involving application-specific knowledge
• Plan and execute practical experiments to collect/create high-quality datasets
• Combine NN and classic signal processing approaches to make the highly efficient pipelines of problem solving
• Implement the developed solutions under real-world end-user scenarios and requirements and verify its functionality at the Infineon hardware (PSOC, wireless SOCs)
• Help with ML/AI related design and implementation in different team projects

Your Profile

Qualifications and skills to help you succeed

• A master’s degree in electrical engineering or computer science (or equivalent) and 2-3 years of related research/engineering experience
• Strong background in mathematical modeling and numerical analysis
• Knowledge of modern NN architectures, Machine Learning tools and trends
• Proficiency in Python and at least one ML framework (PyTorch or TensorFlow)
• Experience with at least one of the following: signal / speech /image / video processing / wireless communication is a plus
• Understanding of embedded systems and Knowledge of Nvidia Deep Learning framework, and familiarity with patents, papers, publications on relevant technical subject matter is a plus
• Intermediate English writing, communication, and presentation skills

Please send us your CV in English.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
The company is a trailblazer in the world of data-driven advertising, known for its innovative approach to optimizing ad placements and campaign effectiveness through advanced analytics and machine learning techniques. Our mission is to revolutionize the advertising sector by enabling brands to reach their audiences more effectively.

About the role:
We are seeking an experienced and motivated Senior Data Scientist to join our dynamic team. The ideal candidate will have deep expertise in supervised learning, reinforcement learning, and optimization techniques. You will play a pivotal role in developing and implementing advanced machine learning models, driving actionable insights, and optimizing our advertising solutions.
This position is based in Ukraine. The team primarily works remotely, with occasional in-person meetings in the Kyiv or Lviv office.

Responsibilities:
- Develop and implement advanced supervised and reinforcement learning models to improve ad targeting and campaign performance.
- Collaborate with cross-functional teams to identify opportunities for leveraging machine learning and optimization techniques to solve business problems.
- Conduct extensive data analysis and feature engineering to prepare datasets for machine learning tasks.
- Apply optimization algorithms to enhance the effectiveness and efficiency of advertising campaigns.
- Evaluate and refine existing models to enhance their accuracy, efficiency, and scalability.
- Utilize statistical techniques and machine learning algorithms to analyze large and complex datasets.
- Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
- Stay updated with the latest advancements in machine learning, reinforcement learning, and optimization techniques.
- Work with engineering teams to integrate models into production systems.
- Monitor, troubleshoot, and improve the performance of deployed models.
- Mentor junior data scientists and contribute to the continuous improvement of the data science practice within the company.

Requirements:
- 5+ years of experience in data science or machine learning roles, with a strong focus on supervised learning, reinforcement learning, and optimization techniques.
- Technical Skills:
- Proficiency in Python.
- Strong understanding of working with relational databases and SQL.
- Experience with machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or similar.
- Deep understanding of statistical modeling and supervised learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, SVMs, gradient boosting, neural networks).
- Hands-on experience with reinforcement learning algorithms and frameworks like OpenAI Gym.
- Practical experience with optimization algorithms (linear, non-linear, combinatorial, etc.).
- Hands-on experience with data manipulation tools and libraries (e.g., pandas, NumPy).
- Familiarity with cloud services, specifically AWS, is a plus.
- Practical experience building and managing cloud-based ML pipelines using AWS services (e.g. SageMaker, Bedrock) is a plus.
- Education:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. A PhD is a plus.

Other Skills:
- Strong analytical and problem-solving skills.
- Excellent communication skills, with the ability to clearly articulate complex concepts to diverse audiences.
- Ability to work in a fast-paced environment and manage multiple priorities.
- Strong organizational skills and attention to detail.
- Ability to mentor and guide junior data scientists.
- Must be able to communicate with U.S.-based teams

The company offers:
- An opportunity to be at the forefront of advertising technology, impacting major marketing decisions.
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.

About the role:
We are seeking an experienced Data Scientist with a passion for large language models (LLMs) and cutting-edge AI research. In this role, you will design and prototype data preparation pipelines, collaborating closely with data engineers to transform your prototypes into scalable production pipelines, design and implement a state-of-the-art evaluation and benchmarking framework to measure and guide model quality, and do end-to-end LLMs training. You will work alongside top AI researchers and engineers, ensuring our models are not only powerful but also aligned with user needs, cultural context, and ethical standards.

Responsibilities:
- Curation of datasets for pre-training, supervised fine-tuning, and alignment
- Research and develop best practices and novel techniques in LLM training and evaluation pipelines.
- Collaborate closely with data engineers, annotators, linguists, and domain experts to scale data processes, define evaluation tasks and collect high-quality feedback.

Requirements:
Education & Experience:
- 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP.
- An advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.
GenAI & NLP Expertise:
- Practical experience with fine-tuning LLMs / VLMs models
- Hands-on experience with modern NLP approaches, including embedding models, semantic search, text classification, sequence tagging (NER), transformers/LLMs, RAGs.
ML & Programming Skills:
- Strong experience with deep learning frameworks such as PyTorch or JAX for building models.
- Ability to write efficient, clean code and debug complex model issues.

Nice-to-have:
Advanced NLP/ML Techniques:
- Applied experience using Reinforcement Learning in NLP / LLM settings
- Prior work on LLM safety, fairness, and bias mitigation.
- Experience generating and curating synthetic datasets for Supervised Fine-Tuning (SFT), including quality control and scaling considerations.
Research & Community:
- Publications in NLP/ML conferences or contributions to open-source NLP projects.
- Active participation in the AI community or demonstrated continuous learning (e.g., Kaggle competitions, research collaborations) indicates a passion for staying at the forefront of the field.
MLOps & Infrastructure:
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
- Experience in working alongside MLOps engineers to streamline the deployment and monitoring of NLP models.
- Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop, Ray, Dask) for scaling data processing or model training is a plus.
Problem-Solving:
- Innovative mindset with the ability to approach open-ended AI problems creatively.
- Comfort in a fast-paced R&D environment where you can adapt to new challenges, propose solutions, and drive them to implementation

The company offers:
- Office or remote — it’s up to you. You can work from anywhere, and we will arrange your workplace
- Remote onboarding
- We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners
- Health and life insurance
- Wellbeing program and corporate psychologist
- Reimbursement of expenses for Kyivstar mobile communication

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a hands-on Sr. Machine Learning / Computer Vision Engineer with strong practical experience in designing, training, evaluating, and improving vision systems for real-world applications. The ideal candidate combines solid theoretical ML/CV fundamentals with an engineering mindset and is comfortable taking ownership of the full pipeline, from data preparation and experimentation to model optimization and deployment.

Responsibilities:
- Design, train, evaluate, and improve machine learning and computer vision models for real-world production use cases
- Build and maintain end-to-end ML pipelines, including data collection support, preprocessing, feature engineering, training, validation, and inference
- Develop solutions across both computer vision and machine learning tasks depending on business needs
- Perform error analysis, diagnose model weaknesses, and drive improvements in accuracy, robustness, and reliability
- Select and justify appropriate methods and model architectures based on dataset characteristics, product constraints, and deployment requirements
- Work with challenging real-world data, including noisy, limited, imbalanced, or weakly labeled datasets
- Collaborate with engineering and product teams to translate business problems into practical ML solutions
- Contribute to production-ready development with a focus on maintainability, reproducibility, and performance

Requirements:
- 3–5+ years of professional experience in Machine Learning / Computer Vision
- Strong senior-level practical expertise in computer vision, machine learning, and applied model development
- Hands-on experience with tasks such as object detection, image classification, anomaly detection, feature-based approaches, or similar
- Solid understanding of classical ML methods, including tree-based models, linear models, feature engineering, model selection, and evaluation
- Strong Python skills and practical experience with PyTorch, OpenCV, and common ML tooling
- Experience building full ML workflows including data preparation, augmentation, preprocessing, training, validation, testing, and deployment handoff
- Strong understanding of model evaluation, debugging, overfitting, generalization, optimization, and experiment-driven improvement
- Ability to write clean, modular, maintainable code and independently own technical solutions
- Strong analytical thinking, engineering maturity, and problem-solving skills

Nice to Have:
- Experience in adjacent ML domains such as time-series, audio, or NLP
- Experience with embedding-based methods, metric learning, retrieval systems, or memory-bank approaches
- Practical experience with model optimization techniques such as quantization, pruning, distillation, or related efficiency-focused approaches
- Experience working with real-world industrial datasets and ambiguous problem formulations
- Knowledge of software engineering best practices, reproducible experimentation, and pipeline design

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

Looking for a Middle/Middle Strong Fullstack Java Developer to join our team. We are building a platform for fast and convenient purchase of tickets for various music and sport events. Users are provided access to a wide selection of concerts where they can find performances by their favorite artists, review event dates and locations, and buy tickets in real-time.

Requirements:

• 3+ years of experience in Java development.
• 2+ years of Spring framework and building Spring web applications.
• Understanding and experience developing and deploying microservices.
• Experience developing integration layers (using REST interfaces, OpenApi, Kafka, GraphQL).
• Commercial experience with frontend development (e.g., React, Angular, or similar frameworks).
• Excellent design, coding, and debugging skills.
• OOP, OOD, Design Patterns proficient.
• Knowledge of relational databases (preferably PostgreSQL).
• Experience with Docker.
• English — at least an Upper-Intermediate level.

Nice to have skills:

• Knowledge of non-relational databases.
• Experience in developing multi-threaded applications.
• Experience with AWS services (ECS, Lambda, Aurora).

Responsibilities:

• Produce code using Java best practices.
• Write unit tests and code that adheres to coding standards.
• Provide technical support.
• Work both independently and in close collaboration with others in the team; effectively communicate with geographically distributed team members.
• Make recommendations for the improvement of the system and development process to increase productivity.
• Identify, monitor, and resolve project-related issues.

Interview stages:

• HR-interview (30 minutes).
• Technical interview (1 hour).
• Interview with the customer (1 hour).
• Job offer🎉🎉🎉

We offer:

• Competitive salary + bonuses.
• Challenging tasks and projects.
• Personal growth.
• Flexible working hours.
• New hardware.
• Free English lessons.
• Availability of generators and Starlinks in the office.
• Small gym and table tennis in the office.
• Adjustable height tables.
• Regular office fruit delivery and other benefits.

Let’s create value together!

Looking for a Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

Skills requirements:
• 2+ years of experience with Python;
• 2+ years of experience as a Data Engineer;
• Experience with Pandas;
• Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
• Familiarity with Amazon Web Services;
• Knowledge of data algorithms and data structures is a MUST;
• Working with high volume tables 10m+.

Optional skills (as a plus):
• Experience with Spark (pyspark);
• Experience with Airflow;
• Experience with Kafka;
• Experience in statistics;
• Knowledge of DS and Machine learning algorithms..

Key responsibilities:
• Create ETL pipelines and data management solutions (API, Integration logic);
• Different data processing algorithms;
• Involvement in creation of forecasting, recommendation, and classification models.

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 fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

This is a fantastic opportunity to join a fast-growing company at the heart of the digital revolution. Our software product is revolutionising manufacturing through automation. We are trusted by global brands and work across sectors (mobility, consumer goods, machinery etc).

We have a talented and ambitious team. We value integrity and are passionate about our mission to revolutionise advanced manufacturing.

This is your opportunity to:

• Be part of a fast-growing software product company in advanced manufacturing.
• Learn and fulfil your potential in an open, knowledge-driven culture.
• Share in our ambitious vision and make a meaningful difference towards autonomous manufacturing.

Responsibilities: 

• Develop, test, and deploy generative AI based solutions.
• Design and implement end-to-end AI solutions that integrate with existing systems. 
• Collaborate with software engineers and product teams to understand business needs and translate them into technical solutions. 
• Research emerging AI trends and techniques to continually improve the AI solution offerings. 
• Prepare and maintain documentation on design, code, and processes to ensure organizational knowledge retention. 
• Monitor and evaluate the performance of AI systems in production, identifying areas for improvement or further development.

You will be joining a well-versed team if you have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. 
• Proven experience in developing generative AI or machine learning models.
• Commercial experience in using large language models.
• Programming skills in languages such as Python or JavaScript.
• Familiarity with databases (SQL, NoSQL). 
• Solid understanding of deep learning, NLP, computer vision, or other specialized areas within AI is a plus. 
• Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes) is beneficial. 
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Good communication skills and the ability to translate complex technical concepts to non-technical stakeholders. 
• Commitment to continuous learning and development in the field of AI and emerging technologies.

Your future job

As an Associate Mixed Signal Design Engineer at Melexis, you will verify the mixed mode design (analog, digital and embedded software) for the Integrated Circuit (IC) based on the customer requirements.

More specifically, you will:

• Create detailed test and coverage plans based on IC specifications.
• Build testbenches using SystemVerilog or Verilog-AMS to verify mixed-signal circuits.
• Write behavioral models of analog components to speed up simulation.
• Run analog-digital co-simulations, analyzing results, debugging, and identifying design issues.
• Ensure design readiness for manufacturing.

Your profile

• Bachelor’s or Master’s in Electrical Engineering, Electronics, or similar.
• Profound knowledge of analog circuit principles, digital RTL design, and mixed-signal methodologies.
• Proficiency in SystemVerilog, Verilog-AMS, and simulation tools like Cadence AMS Designer.
• Experience with Real Number Modelling (WREAL) and functional verification.
• Effective communication skills in English.

We offer

• a challenging job in a dynamic high-tech international environment
• the opportunity to take ownership of your professional passion in order to contribute to the success of the company
• an enjoyable, team-oriented and professional atmosphere in a flat-structured organization
• versatile development opportunities

Diversity & Inclusion

Melexis is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, colour, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.

About Melexis

Inspired by a passion for technology and engineering, Melexis designs, develops and delivers innovative micro-electronic solutions. They enable designers to turn ideas into applications that support the best imaginable future. The company’s advanced mixed-signal semiconductor sensors and actuators integrate sensing, driving and communication into next-generation products and systems. They improve safety, raise efficiency, support sustainability and enhance comfort.

Melexis is a world leader in automotive sensors. Today, on average, every new car produced worldwide contains 18 Melexis chips. Melexis uses this expertise to serve other markets as well: alternative mobility, smart appliances, smart buildings, robotics, energy management and digital health.

Melexis is headquartered in Belgium and employs over 2000 people in 18 locations worldwide. The company is publicly traded on Euronext Brussels (MELE).