#vacancy #cyprus #relocation #ML #MachineLearning

ML Engineer

We are looking for an ML Engineer for a Cyprus-based branch of an American technology company.
The company specializes in the launch of mobile applications for user interaction based on its own patented technology - ultra-short video content exchange.
The core product is an application for instant exchange and the creation of live interactive video stories.
The company intends to include CV and ML processing for video content structuring.

We are offering:

✅Relocation to Limassol, Cyprus (with hybrid working schedule)
✅Salary range: 4500 - 5500+ Euro net (after taxes) per month + bonuses
✅In case if you choose relocation - full relocation coverage (tickets, visa support, cargo) for you and family

Interview process:

1st - interview with tech recruiter
2nd - Technical interview/Live coding
3rd Final interview with CTO and ML Lead


What kind of qualification we are looking for:

📝At least 3 years experience as ML engineer in commercial projects;
📝Experience with Python and required libraries;
📝Readiness to work with code-review and clear code style
📝Backend development experience (flask/djangо/fastapi);
📝Strong theoretical knowledge in ML, data analysis methods ;
📝Will be a plus: experience in developing media applications, working with audio/video, including at a low level

What we are expecting from you:

📍Algorithm optimizations in the pipeline;
📍Feature engineering, data pre-processing;
📍Development of recommender systems;
📍Training of fine tuning DL models for object classification on video (incl. zero shot classification);
📍Solutions integration


For more details pls contact @AlexCasual

#Limassol #Vacancy #Analyst #DataScientist #ML #MachineLearning #Relocation #Лимассол #Вакансия #Аналитик #ДатаCаентист #МЛ #МашинноеОбучение #Релокация

Привет всем 🤗 Вакансия с релокацией на Кипр!
Международная компания, которая разрабатывает надёжные и актуальные IT-решения для b2c и b2b сегмента находится в поисках Middle Data-Scientist:

Чем предстоит заниматься:
- Оценка целей бизнес задач, бизнес метрик, алгоритмов и методов машинного обучения, имеющихся и необходимых данных;
- Формирование и проверка гипотез;
- Извлечение признаков из данных для применения алгоритмов машинного обучения (Feature Engineering);
- Разработка и оптимизация предиктивных моделей;
- Планирование проведения и анализ A/B тестирования моделей в продакшн;
- Разработка необходимых компонентов функционала ML pipelines;
- Ведение документации с описанием алгоритмов и моделей, с соответствующей аналитикой.

От тебя:
- Уверенное владение Python;
- Опыт работы с Data Science библиотеками и фреймворками такими как pandas, sklearn, scipy, matplotlib, catboost и др.;
- Знания основ статистического анализа и его применение;
- Понимание проведения A/B тестирования;
- Понимание классических методов и алгоритмов машинного обучения, опыт их применения на практике;
- Базовые знания SQL запросов;
- Опыт работы с Git;
- Опыт работы с Docker.

Будет плюсом:
- Опыт работы с MLflow / KubeFlow / ClearML;
- Опыт работы с GitLab CI/CD;
- Опыт работы с Airflow / Argo;
- Опыт работы с разными базами данных, создание витрин.

Мы предлагаем:
- Белую заработную плату на уровне твоих профессиональных навыков и пожеланий;
- Помощь с релокацией на Кипр г. Лимассол, (визовое сопровождение, медицинское страхование для сотрудника и членов его семьи);
- Интересные задачи, перспективные проекты, продвинутые технологии;
- Работу в русскоязычной команде.

Для откликов @AndrewSkye или andmanager2@gmail.com

Спасибо

#vacancy #cyprus #Limassol #Remote #PM #DS #DataScience #MachineLearning
Всем привет! Команда в поиске коллеги для совместной работы и реализации Data Science проекта , мы ищем опытного Preject manager`а.


Обязанности и задачи:

1. Планирование, координация и управление проектами совместно с PM команды.
2. Взаимодействие с внутренними и внешними командами для обеспечения эффективного выполнения задач проекта и соблюдения сроков.
3. Определение и контроль за соблюдением требований к задачам проекта, включая оформление и оценку задач.
4. Отслеживание прогресса выполнения задач проекта, внесение корректировок в роуд мапы совместно с PM команды.
5. Управление рисками, связанными с задачами проекта, включая идентификацию, анализ и разработку стратегий управления рисками.

Требуемые знания и опыт:

1. Опыт работы в качестве проектного менеджера или менеджера задач, желательно в области разработки ПО или аналитических сервисов.
2. Знание методологий управления проектами и задачами, таких как Agile, Scrum или Kanban.
3. Отличные навыки общения и презентации, способность эффективно взаимодействовать с различными стейкхолдерами.
4. Способность решать сложные задачи и работать в условиях многозадачности и дедлайнов.
5. Опыт работы с таск-трекерами (YouTrack / Jira), документированием (Confluence) и другими проектными инструментами.
6. Понимание принципов разработки программного обеспечения и жизненного цикла разработки ПО, методологии проведения аналитических исследований.

Плюсом будет:

1. Наличие сертификатов в области управления проектами
2. Опыт работы в в разработке онлайн-игр/беттинге.
3. Опыт работы в международных проектах или работа с командами, расположенными в разных географических точках.


За подробностями/для отправки резюме приходите в ЛС https://t.me/ZhannaHR_CY

#vacancy #machinelearning #financialservices #Limassol

Position: Fintech Machine Learning Engineer
Company: FxPro
Seniority: Experienced
Location: Limassol, Cyprus
Work Model: Onsite

FxPro is looking for an experienced Machine Learning Engineer, who will build their own team, develop new ML models and collaborate with the Dealing, Business Analysts and our BI Experts.

Responsibilities
* Develop ML models for trader profiling: analyzing trading strategies, volumes, preferences by country, etc.
* Update and optimize models for quality and performance, integrate models into operational systems
* Collect, clean, and transform data for models
* Monitor model performance and make improvements, ensure code is scalable and secure

Requirements
* Higher education in computer science, statistics, applied mathematics, or a related field
* Deep understanding of statistical methods and machine learning algorithms
* Classification (logistic regression, SVM, random forests, gradient boosting)
* Clustering (K-means, hierarchical)
* Regression analysis (linear, multiple, criteria)
* Deep learning (CNN, RNN, LSTM for time series analysis)
* Natural language processing (NLP) for sentiment analysis and text data
Knowledge of tools and practices in MLOps:
* Containers (Docker), orchestration (Kubernetes)
* Familiarity with CI/CD (Jenkins, GitLab CI/CD)
* Versioning of models and experiments (DVC, MLflow)
* Monitoring and logging of models in production to track their performance and respond to data drift (e.g., Prometheus, Grafana)
* Understanding of Feature Store for centralized feature management
Programming and data analysis skills
* Proficiency in Python and data analysis libraries (pandas, NumPy), visualisation (Matplotlib, Seaborn)
* SQL and NoSQL
* Knowledge of Spark or other big data packages would be an advantage

Please apply directly through the Link!

#vacancy #ml #mlengineer #machinelearning #fintech #datascience

Vacancy: Fintech Machine Learning Engineer
Company: FxPro
Location: Limassol, Cyprus

Join FxPro: a leading international fintech company. Be a part of our expanding international team, with offices in Limassol, London, Monaco, Nassau, and Dubai. FxPro boasts a diverse workforce of over 300 employees representing 22 nationalities, making it an exciting and dynamic workplace. At FxPro, we see each team member as an integral part of our success story.
We are looking for an experienced Machine Learning Engineer, who will build their own team, develop new ML models and collaborate with the Dealing, Business Analysts and our BI Experts.

Responsibilities
*Develop ML models for trader profiling: analysing trading strategies, volumes, preferences by country, etc.
*Update and optimise models for quality and performance, integrate models into operational systems
*Collect, clean, and transform data for models
*Monitor model performance and make improvements, ensure code is scalable and secure

Requirements
*Higher education in computer science, statistics, applied mathematics, or a related field
*Deep understanding of statistical methods and machine learning algorithms
*Classification (logistic regression, SVM, random forests, gradient boosting)
*Clustering (K-means, hierarchical)
*Regression analysis (linear, multiple, criteria)

*Deep learning (CNN, RNN, LSTM for time series analysis)
*Natural language processing (NLP) for sentiment analysis and text data
*Knowledge of tools and practices in MLOps:
*Containers (Docker), orchestration (Kubernetes)
*Familiarity with CI/CD (Jenkins, GitLab CI/CD)
*Versioning of models and experiments (DVC, MLflow)
*Monitoring and logging of models in production to track their performance and respond to data drift (e.g., *Prometheus, Grafana)
*Understanding of Feature Store for centralised feature management

Programming and data analysis skills
*Proficiency in Python and data analysis libraries (pandas, NumPy), visualisation (Matplotlib, Seaborn)
SQL and NoSQL
*Knowledge of Spark or other big data packages would be an advantage

Our benefits
*Excellent compensation package
*Relocation Support
*Hybrid work schedule
*Medical and life insurance, and provident fund
*An in-house gym with a personal trainer
*Company discount card for various products & services
*Free daily catering, snacks, and beverages

Please apply directly to Fintech Machine Learning Engineer

#vacancy #вакансия #remote #Cyprus #ML #LLM #machinelearning #mlengineer #backend #Python

💡Hi! I`m Olia, HR at Ennabl. I`m looking for a Python Software Engineer - ML/LLM (Middle/Senior) for our team.

🔆Company: Ennabl
📍Employment: full-time; remote
🌐Location: Cyprus. If you are outside of Cyprus, Ennabl helps and supports relocation
💰Salary: 5,800-8,300 EUR gross
📩Contact: @OlgaBykanova (https://t.me/OlgaBykanova)

⚡️We are a product fintech startup with a headquarters in the USA and a diverse team with 40+ people (Russia, USA, Ireland, Georgia, Kyrgyzstan, Serbia, India, Spain). We are developing a data-driven platform for US insurance brokers and agents which helps them to work with their data more efficiently.

🔥What we can offer:
- People are our main asset, we value our employees. We get together online and offline (cafe, games, team-buildings in different countries). This is a truly amazing team, I work here full-time as well :)
- Every employee is granted company's shares (equity)
- We use modern technologies and don`t have legacy
- English language courses

🛠Technologies:
- Python; ML frameworks (pytorch, tensorflow, scikit-learn); LLMs (GPT, Llama, Mistral); AWS

⚙️Job responsibilities:
- Design, develop, and deploy ML/LLM based systems
- Take end-to-end ownership of AI services: data pipelines, feature/prompt engineering, model training, integration into our production systems
- Collaborate with internal teams to analyze data, refine AI algorithms and integrate AI solutions into Ennabl’s platform

📌Requirements:
- 4+ years of relevant experience
- Proficiency in Python ecosystem
- Experience with modern ML frameworks
- Experience with LLMs and AWS is an advantage
- English (B1+)

#vacancy #hiring #machinelearning #Limassol

Machine Learning Team Lead position at FxPro

FxPro is looking for a Machine Learning Team Lead to build own team, develop new ML models and collaborate with the Dealing, Business Analysts and our BI Experts.

Sounds pretty cool, right? 🤟 Here's a link to the full job description.

Our expectations
- Higher education in computer science, statistics, applied mathematics, or a related field
- Deep understanding of statistical methods and machine learning algorithms
- Classification (logistic regression, SVM, random forests, gradient boosting)
- Clustering (K-means, hierarchical)
- Regression analysis (linear, multiple, criteria)
- Deep learning (CNN, RNN, LSTM for time series analysis)
- Natural language processing (NLP) for sentiment analysis and text data

Knowledge of tools and practices in MLOps:
- Containers (Docker), Orchestration (Kubernetes)
- Familiarity with CI/CD (Jenkins, GitLab CI/CD)
- Versioning of models and experiments (DVC, MLflow)
- Monitoring and logging of models in production to track their performance and respond to data drift (e.g., Prometheus, Grafana)
- Understanding of Feature Store for centralized feature management

Programming and data analysis skills:
- Proficiency in Python and data analysis libraries (pandas, NumPy), visualisation (Matplotlib, Seaborn)
- SQL and NoSQL
- Knowledge of Spark or other big data packages would be an advantage

Our benefits
- Excellent compensation package 💸
- Hybrid work schedule: 3 days in the office 🏢/ 2 days at home 🏡
- Medical and life insurance
- Provident fund
- In-house gym with a personal trainer 🏋
- Free daily lunch catering, snacks, and beverages
- Company discount card for various products & services
- 50% discount on language courses with a tutor
- 21 days of annual leave and 10 days of sick leave annually
- Shuttle bus service from Limassol 🚌
- Birthday certificate program
- Relocation bonus and visa/work permit support

Intrigued? 🤔
Apply here or DM @fxprocareers

#vacancy #hiring #machinelearning #Limassol

Machine Learning Team Lead position at FxPro

FxPro is looking for a Machine Learning Team Lead to build own team, develop new ML models and collaborate with the Dealing, Business Analysts and our BI Experts.

Sounds pretty cool, right? 🤟 Here's a link to the full job description.

Our expectations
- Higher education in computer science, statistics, applied mathematics, or a related field
- Deep understanding of statistical methods and machine learning algorithms
- Classification (logistic regression, SVM, random forests, gradient boosting)
- Clustering (K-means, hierarchical)
- Regression analysis (linear, multiple, criteria)
- Deep learning (CNN, RNN, LSTM for time series analysis)
- Natural language processing (NLP) for sentiment analysis and text data

Knowledge of tools and practices in MLOps:
- Containers (Docker), Orchestration (Kubernetes)
- Familiarity with CI/CD (Jenkins, GitLab CI/CD)
- Versioning of models and experiments (DVC, MLflow)
- Monitoring and logging of models in production to track their performance and respond to data drift (e.g., Prometheus, Grafana)
- Understanding of Feature Store for centralized feature management

Programming and data analysis skills:
- Proficiency in Python and data analysis libraries (pandas, NumPy), visualisation (Matplotlib, Seaborn)
- SQL and NoSQL
- Knowledge of Spark or other big data packages would be an advantage

Our benefits
- Excellent compensation package 💸
- Hybrid work schedule: 3 days in the office 🏢/ 2 days at home 🏡
- Medical and life insurance
- Provident fund
- In-house gym with a personal trainer 🏋
- Free daily lunch catering, snacks, and beverages
- Company discount card for various products & services
- 50% discount on language courses with a tutor
- 21 days of annual leave and 10 days of sick leave annually
- Shuttle bus service from Limassol 🚌
- Birthday certificate program
- Relocation bonus and visa/work permit support

Intrigued? 🤔
Apply here or DM @fxprocareers

#vacancy #ml #machinelearning
Location: Cyprus, Limassol / remote
Fulltime/Project based

We are a startup dealing with A/P Invoice Automation
We are looking for an ML-specialist with experience in text processing , field extraction and document automation
Our Ideal candidate has prior experience from ABBYY doing similar things.
PM me for more details

#vacancy #вакансия #office #DataEngineer #DWH #SQL #PostgreSQL #MySQL #Airflow #Airbyte #Kafka #Debezium #ClickHouse #ML #MachineLearning

HI guys! We are really in to looking talanted experts for Brainsome!

🔥Position: DATA ENGINEER+ML
🔥Company: Brainsome
🔥Location: Limassol, office near The Limassol Zoo

Project Description:
Our product is a streamlined platform for managing and optimizing digital advertising, designed to handle high traffic volumes and complex data processing. We manage a system that processes thousands of requests per second, with a total data volume reaching tens of terabytes. The platform includes tools for ad publishers to submit traffic, a traffic exchange engine that enables seamless buying and selling of traffic, and a CRM-like platform for managing advertisers, ad publishers, and key settings within the traffic exchange process. We specialize in solving complex challenges in processing and analyzing large-scale data.

Your Experience:
✔️ 4+ years of experience in data engineering
✔️ Strong proficiency in SQL and experience with databases such as ClickHouse, PostgreSQL, MySQL
✔️ Hands-on experience with tools such as Airflow, Airbyte, Kafka, and Debezium
✔️ Programming skills in Python for data processing
✔️ Experience with version control systems (e.g., Git)
✔️ Understanding of data security and data protection best practices
✔️ A results-oriented approach with attention to detail and problem-solving skills

Your Responsibilities:
🔹Data Collection & Ingestion: Acquire and ingest data from diverse sources, including OLTP/OLAP databases, event streams, logs, third-party APIs, and file/object storage.
🔹Connector Configuration: Set up and manage data source connectors to ensure seamless data flow into the Data Lake.
🔹Data Modeling & Documentation: Design, document, and maintain data models to support efficient storage, retrieval, and processing.
🔹ETL/ELT Pipeline Development: Build, optimize, and maintain batch and streaming data pipelines for efficient data processing.
🔹Data Warehousing & Lake Management: Organize and manage Data Warehouses and Data Lakes to ensure scalability, security, and performance.
🔹Data Preparation for BI & ML: Transform and curate data to support Business Intelligence and Machine Learning workflows.
🔹Data Quality & Observability: Implement testing, monitoring, and observability frameworks to ensure data accuracy, reliability, and consistency.

We offer:
🔸Top rate pay
🔸Relocation Assistance
🔸Sports compensation
🔸Language classes compensation
🔸Medical insurance
🔸Free lunches and snacks at the office
🔸Cozy office in the center of Limassol
🔸Flexible working hours
🔸Senior-level team
🔸Team buildings and parties

📫Contact: @Svetlana_Kirichenko_ITRecruiter

#vacancy #mle #ml #llm #nlp #machinelearning #python #dl #gpt

Lead Machine Learning Engineer to Hedge Fund

Location: Cyprus/ Remote

About Us: $2B AUM hedge fund specializing in Semiconductors, Metals & Mining, and Energy. We combine fundamental research with AI/ML to develop cutting-edge trading strategies, consistently outperforming S&P 500 since 2019.

The Role:
• Design/build/deploy ML models for market data analysis & trading strategies
• Lead technical direction of ML engineering team
• Collaborate with quant researchers & traders

Requirements:
• 8+ years SWE/ML experience (4+ with PhD)
• Strong ML fundamentals (DL, NLP, recommendation systems)
• Excellent software design/architecture skills

Why Join?
• Direct impact on fund performance
• Work with world-class engineers & researchers
• Challenging problems at AI-finance intersection

Apply today to shape the future of AI-driven trading!
@JuliaK1109

#vacancy #work #Cyprus #AI #ArtificialIntelligence #MachineLearning #DeepLearning #DataScience #Python #Java #C++

🚨 Middle + / Senior AI Specialist (удаленка/оффис Кипр) 🚨

Мы — Winow, высокопроизводительный технологический партнер для маркетинговых агентств, готовых к умному масштабированию.
Ищем AI-специалиста уровня Middle, проживающего за пределами России, с сильными навыками программирования для разработки и внедрения AI-решений, оптимизирующих внутренние процессы..

Что нужно делать:
- Разработка и тестирование AI-агентов для автоматизации задач.
- Поддержка и улучшение существующих AI-решений.
- Предложение и тестирование новых AI-инструментов для оптимизации процессов.
- Анализ и визуализация результатов автоматизации.

Что мы ждем:
- Опыт разработки и внедрения AI-решений 2+ года с использованием кода (Python, Java или C++).
- Понимание принципов работы нейронных сетей и основ машинного обучения.
- Опыт работы с обработкой данных и аналитическими инструментами.
- Знание английского С1 для чтения технической документации и общения с коллегами и овнером.

Условия:
- Конкурентная фиксированная зарплата в валюте.
- Удаленка/ офис
- Стабильная команда, прозрачные процессы и комфортная среда.

📱 Если интересно пиши @bunnytsukinoHRA

#vacancy #job #datascience #machinelearning

Senior Full Stack Data Scientist
Work format: full-time, relocation to Limassol, Cyprus

About Finom

Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.

At Finom, we’re on a mission to transform the financial landscape for small and medium businesses (SMEs) across Europe. We’re all about innovation, putting our customers first, and making data-driven decisions. We’re building something special - a financial platform that simplifies finance management, eliminates routine tasks and makes life easier for our customers.

As we expand, we’re looking for a Senior Machine Learning Engineer/ Senior Full Stack Data Scientist to join our Data Science & Machine Learning team and help us scale our efforts through data-driven insights and advanced machine-learning models.

What You Will Be Doing

Anomaly Detection: Prepare and operationalize MVPs for anomaly detection tasks in production.

Graph & Entity Modeling: Improve the graph engine and refine entity connection logic to better define customer clusters and supply chains.

Risk Logic: Enhance transaction categorization logic to maximize value and impact for both fraud detection and fraud prevention.

Overall Focus: Bridge research and production through strong MLOps practices, specializing in risk management systems.

Who You Are

Experienced Machine Learning Engineer or Full-stack Data Scientist with a solid track record in delivering production-grade ML solutions - 4-5 years of experience

Proficient in Python and SQL-based programming
Skilled in working with cloud-based data platforms such as Databricks

Experienced in deploying machine learning models and API services (e.g., FastAPI) in production environments
Strong understanding of system architecture and ability to design scalable ML solutions

Analytical and critical thinker with a proactive, results-driven mindset

Comfortable working in fast-paced, start-up environments with minimal supervision

Educational background in mathematics, engineering, economics, or computer science

Fluent in English, capable of working in an international environment

What You Will Get In Return

Make a genuine impact on the product

Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.

Become a stock options holder

Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.

Receive unwavering support and care

Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.

TG: @TatianaEgupova
Job post: https://jobs.eu.lever.co/pnlfin/44e02bd4-74af-4b45-8ed1-d0e2327f8801