Jobs

Hello!

We are Harmix (www.harmix.ai), a Ukrainian startup creating innovative products for the music industry. Our mission is to transform music search and analysis using advanced AI technologies.

We are looking for a Junior Data Scientist (Project-Based) to support our efforts in integrating and optimizing large language models (LLMs).

🎯 Project Description

Your primary responsibility will be to distill a larger language model (LLM) into a smaller, more efficient one using our internal datasets. You’ll fine-tune and evaluate the OpenAI models, evaluate performance on specific tasks, and work with the team to ensure results are measurable and production-ready.

🔍 What We Are Looking For

• Knowledge of Python, including libraries such as NumPy and Pandas.
• Experience with LLM APIs such as OpenAI API.
• Ability to evaluate experiments using metrics such as F1-score, precision, recall, and accuracy.
• Basic understanding of model distillation and prompt engineering.

🌟 What We Offer

• Remote, project-based contract with flexible working hours.
• A chance to contribute to real-world AI challenges in the music industry.
• A collaborative, open-minded team focused on innovation and learning.

If you are curious, motivated, and excited to apply LLMs in a real-world setting project, we'd love to hear from you!

Project Overview:

We are looking for a highly skilled and motivated Computer Vision / Machine Learning Engineer to join our AI team and lead model improvement initiatives for our already-deployed mobile application. The app is designed to assist amputees by detecting hand, finger, or limb anomalies in real time using computer vision. Your role will be critical in enhancing the accuracy, robustness, and real-world performance of our anomaly detection models, particularly across diverse environments and user types.

Customer Overview:

Our client is a leading healthcare company, dedicated to improving patient outcomes through innovative medical solutions and high-quality care.

Responsibilities:

• Analyze the performance of existing CV/ML models in production to identify failure modes, bias, or performance gaps.
• Improve anomaly detection models for hands, fingers, and limb-related irregularities using real-world data.
• Experiment with model architectures, fine-tuning, and transfer learning approaches to improve detection accuracy and reduce false positives/negatives.
• Optimize models for real-time inference on mobile/edge devices (e.g. TensorFlow Lite, CoreML, ONNX).
• Collaborate with data scientists, app developers, and clinical advisors to ensure model outputs are reliable and actionable.
• Design and implement data collection, annotation, and augmentation pipelines tailored for prosthetic/amputee scenarios.
• Conduct A/B testing and model validation in live environments with real user feedback.
• Monitor deployed models using telemetry and feedback to drive continuous improvements.

Skills/Requirements:

• Proven experience (3+ years) in building and optimizing computer vision models for image classification, object detection, or anomaly detection.
• Proficiency in Python and major ML/CV frameworks (TensorFlow, PyTorch, OpenCV).
• Experience working with medical imaging, biomedical signals, or human body detection is a strong plus.
• Solid understanding of model evaluation techniques and metrics, particularly in healthcare or safety-critical applications.
• Experience deploying models to production, preferably on mobile or embedded systems.
• Familiarity with data annotation tools and managing datasets with edge cases (e.g. partial limbs, occlusions).
• Excellent problem-solving skills and the ability to work independently or in a small, fast-paced team
• (Preferred) Experience with 3D hand pose estimation, depth sensing, or synthetic data generation

Шукаємо Data Scientist, що працюватиме з R&D, регресіями та табличними даними, zero-to-one продуктом на глобальному ринку. Вплив на алгоритми та бізнес, експерименти без обмежень. Топові умови, повний ремоут. 

Main Responsibilities:

– Be responsible for DS-ML-related solutions developed by all Service and Delivery(SnD) squads: maintenance and improvement of existing solutions; design, development, and implementation of new solutions

– Provide technical leadership for other SnD DSs

– Test developed algorithms, work with the SnD team within UAT, adapt, and reach DOD and DOR

– Verify key tasks done by SnD DS, such as model training and AB test design

– Conduct code reviews for DS-ML-related solutions

– Automate DS work in SnD.Develop data requirements for SnD implementation projects

– Cooperate with IM and DE to achieve and maintain the optimal dataset configuration according to DS-ML needs

– Measure solution stability, quality, and effectiveness; transparently communicate the current state of things to other roles/teams, and suggest and implement improvements

– Regularly collaborate (provide prototypes/ideas/detailed feature requests) with RnD Teams on tools for SnD

Mandatory Requirements:

– A minimum of 3 years of experience in data science or a related field

– Proficiency in SQL for data manipulation and extraction

– Strong Python skills, capable of writing modular and readable code for experiments and prototypes

– A solid mathematical background, preferably in a Computer Science-related field

– Proficiency in the scientific Python toolkit, including NumPy, pandas, scikit-learn, and either Keras/TensorFlow or PyTorch

– Familiarity with Time Series Forecasting approaches

– Experience in statistical testing methodologies, including A/B testing

– At least 3 years of experience working with tabular and mixed (multimodal) data (e.g., tabular data combined with text, audio, or images).

– Upper-intermediate or higher level of English (for future communication with clients and user interviews)

Soft skills

– Analytical mindset and strong critical thinking abilities

– Leadership skills to efficiently organize the data team (Data Scientists, Data Engineers, Data Analysts)

– Agile approach, with the ability to experiment and test hypotheses in an unstable business environment

– Business-oriented mindset, able to translate complex models into simple business language

– Excellent presentation skills, capable of communicating complex ideas effectively

– Curiosity and a commitment to continuous learning within the domain

– Strong team player, able to collaborate effectively with cross-functional teams

We offer:

– Rich innovative software stack, freedom to choose the best suitable technologies

– Remote-first ideology: freedom to operate from the home office or any suitable coworking

– Flexible working hours (we start from 8 to 11 am) and no time tracking systems on

– Regular performance and compensation reviews

– Recurrent 1-1s and measurable OKRs

– In-depth onboarding with a clear success track

– Competera covers 70% of your training/course fee

– 20 vacation days, 15 days off, and up to one week of paid Christmas holidays

– 20 business days of sick leave

– Partial medical insurance coverage

– We reimburse the cost of coworking

We’re building a team of certified data professionals to work on high-impact projects in the areas of data engineering and machine learning using Microsoft Azure. If you are certified in one or more of the following areas, let’s connect!

Required Certifications:

• DP-100 – Microsoft Certified: Azure Data Scientist Associate
• DP-203 – Microsoft Certified: Azure Data Engineer Associate

What you'll be doing:

• Designing and developing data pipelines and ML models on Azure
• Working with large datasets and building scalable solutions
• Collaborating with engineering and business teams to implement end-to-end data solutions
• Supporting proof of concept and prototype development

What we expect:

• Valid certification(s) in DP-100 or DP-203
• Practical experience with Azure Machine Learning, Synapse, Data Factory, or related tools
• Strong analytical skills and understanding of data modeling and ML workflows
• English – Intermediate level or higher

UVIK Software is looking for an experienced and proactive Senior Data Scientist to join our team. You will take ownership of end-to-end machine learning solutions — from exploration to deployment — and turn complex business challenges into actionable insights. This role is perfect for someone who thrives in a fast-paced, data-driven environment and wants to make real impact through intelligent systems.
 

What You’ll Do:

• Design, develop, and deploy machine learning models using structured and unstructured data
• Own the full ML lifecycle: data exploration, feature engineering, model training, evaluation, deployment, and monitoring
• Use Apache Spark (PySpark) to efficiently process large-scale datasets in distributed environments
• Collaborate with data engineers, product managers, and stakeholders to align ML models with business goals
• Perform model validation and performance tuning, ensuring reproducibility with robust pipelines
• Work in Python with libraries such as pandas, scikit-learn, NumPy, MLflow
• Use Git for version control and collaborate via code reviews and structured workflows
• Present insights, recommendations, and results clearly to both technical and non-technical audiences
• Stay up to date with AI/ML trends and assess new tools and techniques for implementation
• Document models, experiments, and workflows for clarity and future use
   

What We’re Looking For:

• 5+ years of experience in machine learning, AI, and statistical modeling
• Deep expertise in supervised, unsupervised, and ensemble learning methods
• Strong proficiency in Python for data science and machine learning
• Hands-on experience with Apache Spark / PySpark for distributed data processing
• Solid knowledge of Git and collaborative development practices
• Experience building scalable, production-grade ML pipelines and working with large datasets
• Strong problem-solving skills and solid foundations in math and statistics
• Excellent communication skills — ability to explain technical results to non-technical audiences
• Based in an EU country
   

Nice to Have

• Experience with cloud-based ML platforms like AWS SageMaker, GCP, or Azure ML

The Company (Location: Langenfeld, Germany):
Since 2002, the client has been a market leader in automotive claims management, processing over 18 million vehicle claims annually with a global team of more than 2,000 employees. Operating in over 30 countries, the company specializes in digital solutions that optimize vehicle damage processing for insurance companies, car dealerships, repair shops, leasing firms, and automotive manufacturers. By leveraging automation, advanced technologies, and industry expertise, the client continuously enhances efficiency and accuracy in claims handling. An in-house research and development team drives innovation, tailoring solutions to local market needs while advancing digital transformation in the industry. At the core of this evolution is a strong development team, building scalable, high-performance software solutions that integrate data-driven processes with human expertise to reshape automotive claims management.

Short Role Description: We are seeking a Senior Data Scientist / AI Engineer with expertise in Databricks to enhance our capabilities in developing advanced AI solutions for automotive claims management. You will leverage your analytical and machine learning skills to innovate and improve data-driven processes, working closely with data engineers and solution architects in a collaborative, international environment.

Key Responsibilities:

• Develop and implement advanced machine learning and AI models using Databricks.
• Collaborate with data engineering and solution architecture teams to define and refine data processing pipelines.
• Analyze complex datasets (structured, PDFs, images) to extract meaningful insights and predictive capabilities.
• Build and maintain vector databases, leveraging embeddings and AI model integrations.
• Actively participate in AI governance, ensuring best practices in model development, validation, and deployment.
• Document methodologies, experiments, and model architectures for reproducibility and knowledge sharing.
• Continuously evaluate emerging technologies and methodologies in AI to enhance capabilities.
• Present findings clearly and persuasively to technical and non-technical stakeholders.

What We Expect from You (Requirements):

• 4+ years of proven experience in Data Science or AI Engineering.
• Strong expertise in developing and deploying machine learning models using Databricks.
• Proficiency in Python, including common machine learning libraries (TensorFlow, PyTorch, scikit-learn).
• Familiarity with data handling in cloud environments (Azure or AWS).
• Solid experience with big data processing frameworks, especially Apache Spark.
• Experience in managing structured and unstructured data (PDFs, images, hierarchical data).
• Ability to build, validate, and deploy AI models efficiently and effectively.
• Strong communication skills, able to present complex data insights clearly.
• Fluent in English at B2 level or higher.
• Collaborative, adaptable, and eager to learn within international teams.

Nice to have:

• Familiarity with Elasticsearch or other vector-based storage solutions.
• Experience with NLP and computer vision techniques.
• Proficiency with container technologies (Docker, Kubernetes).
• Knowledge of data governance practices related to AI models.
• Availability for international travel twice a year for workshops and alignment meetings.

We are looking for a Data Scientist with a strong analytical mindset and a passion for solving real-world supply chain problems. You will join a cross-functional team focused on optimizing the flow of units from warehouses to stores. This is a high-impact role where your insights and models will directly influence key business operations.

Responsibilities:

• Prepare and clean datasets to enable reliable experimentation
• Develop and fine-tune machine learning models and algorithms
• Test models, analyze outcomes, and generate actionable insights
• Communicate findings to stakeholders through reports and visualizations
• Propose data-driven solutions and optimization strategies

Requirements:

• Proficiency in Python and/or R
• Experience with SQL
• Data Platforms & Tools
• Hands-on experience with Azure Databricks or Snowflake
• Familiarity with building and deploying machine learning pipelines is a strong advantage
• Java experience is a plus
• Education - Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related field

Mathematics & Statistics:

• Solid understanding of multivariable calculus and linear algebra
• Applied knowledge of statistical distributions and hypothesis testing
• Machine Learning
• Practical knowledge of ML techniques: kNN, decision forests, regressions, MLE, time series
• Understanding of model evaluation metrics and performance tuning
• Data Handling & Visualization
• Skilled in managing missing or inconsistent data
• Experience with tools like matplotlib, seaborn, or ggplot2

Nice to Have:

• Experience with deploying ML models into production environments
• Previous work in supply chain or logistics domains

We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.

Currently, we are looking for a ML Engineer for The Playa

Location: Remote

Job Type: Full-Time

About our client:

The Playa helps iGaming platforms boost engagement, revenue, and ROMI by up to 25% by understanding and profiling player behavior, detecting positive and suspicious activities, and delivering tailored recommendations to each player.

More information about The Playa solutions can be found on www.theplaya.solutions

Role Overview:

We are looking for an experienced Machine Learning Engineer to build, deploy, and maintain machine learning solutions that are ready for production. In this role, you will solve challenging problems, develop recommendation systems, and improve machine learning workflows to deliver real-world impact.

Responsibilities:

• Design, create, and deploy machine learning models for regression, classification, and clustering.
• Develop and improve recommendation systems to meet business needs.
• Write clean, efficient, and scalable code in Python.
• Use AWS tools and services to build reliable, cloud-based machine learning solutions.
• Manage workflows with Airflow and handle containerized environments using Docker.
• Write and optimize SQL queries for data extraction, transformation, and analysis.
• Work with the team to follow best practices in version control (Git) and testing.
• Apply basic MLOps practices to improve machine learning processes.

Requirements:

Must-Have Skills:

• At least 3 years of hands-on experience in machine learning and data science.
• Strong skills in Python, SQL, and Git.
• Hands-on experience with cloud platforms (preferably AWS), workflow orchestration using Airflow, and containerization with Docker.
• Good understanding of machine learning techniques, such as regression, classification, and clustering.
• Proven ability to deliver robust, scalable, and production-grade code.
• English proficiency at an upper-intermediate level or higher.

Nice-to-Have Skills:

• Experience in building and deploying recommendation systems.
• Familiarity with testing and MLOps practices.
• A Master’s degree in Computer Science, or a related field.

Benefits:

• Education budget of $600 per year provided
• Professional English courses
• Medical Insurance

Interview process:

1. Recruiting Interview — (45 mins)
2. Tech + Live Coding (60 mins)
3. ML Design + Behavioral (60 mins)
4. Cultural Fit interview — (60 mins)

Thanks for your interest! In the case of your application, we will review it within 5 working days. If it meets the job requirements, we will arrange a call and will be happy to get to know each other better. Otherwise, we’d love to stay in touch waiting for other opportunities to become available.

We are looking for Experienced Senior Data Analyst with Snowflake for one of our projects. 

About Project:
The company is a multinational pharmaceutical and diagnostics corporation. It is renowned for its contributions to healthcare through the development of innovative drugs and diagnostic solutions. With a focus on advancing medical science, the company has established itself as a leader in the biotechnology and healthcare industries. The company commitment to scientific research and development underscores its role in shaping the future of healthcare worldwide.
 

Responsibilities:
 

• You will collaborate with cross-functional teams to analyze requirements, develop technical specifications and implement solutions;
• Analyze large and complex datasets to uncover insights, trends, and patterns that support strategic and operational decision-making
• Design and maintain dashboards and reports using BI tools (e.g., Power BI, Tableau, or similar) to communicate findings effectively to both technical and non-technical users
• Act as a bridge between business and technical teams — translating business questions into analytical tasks and ensuring data solutions align with business objectives
• Design and develop data models and data warehouses in Snowflake;
• Develop and maintain ETL processes to move data from source systems to Snowflake;

• Create and maintain views, stored procedures, and other database objects.
   

  Requirements:

•  Proven experience as Data Analyst with Snowflake in a senior capacity;
• In-depth understanding of Snowflake architecture and best practices;
• Hands-on experience with AWS;
• Strong proficiency in SQL and experience working with large datasets;
• Hands-on experience with data modeling, ETL processes, and data warehousing;
• Solid understanding of data visualization tools.

We are looking for a Computer Vision Engineer with a background in classical computer vision techniques and hands-on implementation of low-level CV algorithms.

The ideal candidate will have experience with SLAM, Visual-Inertial Odometry (VIO), and sensor fusion.

We consider engineers at Middle/Senior levels — tasks and responsibilities will be adjusted accordingly.

Required Qualifications:

• 3+ years of hands-on experience with classical computer vision
• Knowledge of popular computer vision networks and components 
• Understanding of geometrical computer vision principles
• Hands-on experience in implementing low-level CV algorithms
• Practical experience with SLAM and/or Visual-Inertial Odometry (VIO)
• Proficiency in C++
• Experience with Linux
• Ability to quickly navigate through recent research and trends in computer vision.

Nice to Have:

• Experience with Python
• Familiarity with neural networks and common CV frameworks/libraries (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with sensor fusion.

Atom Apps — a fast-growing, AI-powered mobile app company with 15M+ U.S. downloads. They specialize in end-to-end mobile app development, monetization, and distribution across various verticals.

Now, Atom Apps is hiring a Marketing Analyst.

Key responsibilities:

• Evaluate paid campaign effectiveness and work closely with marketers to achieve better profitability.
• Work closely with the marketing team to align on goals and optimize lead-to-revenue performance.
• Use data to identify high-value segments, guide personalization strategies, and improve conversion rates across the funnel.
• Perform cohort analyses, funnel evaluations, and churn investigations to uncover growth opportunities and user friction points on different acquisition channels.
• Build scalable SQL queries, data models, and BI dashboards (e.g., in Tableau, Looker, Power BI) to support self-serve analytics and empower team autonomy.
• Build and update LTV prediction models.
• Collaborate with data engineering to ensure clean, scalable, and real-time data pipelines.
• Be a thought partner to CMO, Head of Product, and CEO, while driving company bets, not just reporting metrics.
• Try out different mathematical modeling methods to attribute organic traffic by channel.

Must-have technology & skill requirements:

• Advanced SQL: ability to write complex queries for large, distributed datasets.
• Proficiency in data visualization tools such as Tableau, Looker, Power BI, or similar.
• Strong skills in Python or R for statistical analysis, modeling, and automation.
• Familiarity with data warehousing and analytics engineering tools, and creating ETL Models (e.g., dbt).

Nice-to-have technology & skill requirements:

• Experience in marketing analytics, business intelligence, or data analysis, ideally in tech.
• Hands-on experience with multichannel campaign analysis (especially paid search, paid social, email, and web).

Why Join Atom Apps?

• 🌍 Fully Remote – Work from anywhere in the world
• 💰 Competitive Pay & Benefits
• 🌱 Growth Opportunities – International exposure & cross-functional collaboration
• ⚙️ Modern Tech Stack – Access to the latest AI models and marketing tools
• 🤝 Global Team – Work with top-tier talent across continents

• 🧠 Real Ownership – Make a visible impact on our product and business

   

Join Us in Building the Future of AI-Powered Consumer Apps

If you’re passionate about scaling mobile apps through performance marketing and want to work with a dynamic, international team, we want to hear from you!

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries. 

About the Product:

Our client is a leading SaaS company offering pricing optimization solutions for e-commerce businesses. Its advanced technology utilizes big data, machine learning, and AI to assist customers in optimizing their pricing strategies and maximizing their profits.

About the Role:

As a Data Scientist you’ll play a critical role in shaping and enhancing our AI-driven pricing platform. 

Key Responsibilities:

• Develop and Optimize Advanced ML Models: Build, improve, and deploy machine learning and statistical models for forecasting demand, analyzing price elasticities, and recommending optimal pricing strategies.
• Lead End-to-End Data Science Projects: Own your projects fully, from conceptualization and experimentation through production deployment, monitoring, and iterative improvement.
• Innovate with Generative and Predictive AI Solutions: Leverage state-of-the-art generative and predictive modeling techniques to automate complex pricing scenarios and adapt to rapidly changing market dynamics.

Required Competence and Skills:

• A Master’s or PhD in Computer Science, Physics, Applied Mathematics or a related field, demonstrating a strong foundation in analytical thinking.
• At least 5 years of professional experience in end-to-end machine learning lifecycle (design, development, deployment, and monitoring).
• At least 5 years of professional experience with Python development, including OOP, writing production-grade code, testing, and optimization.
• At least 5 years of experience with data mining, statistical analysis, and effective data visualization techniques.
• Deep familiarity with modern ML/DL methods and frameworks (e.g., PyTorch, XGBoost, scikit-learn, statsmodels).
• Strong analytical skills combined with practical experience interpreting model outputs to drive business decisions.

Nice-to-Have:

• Practical knowledge of SQL and experience with large-scale data systems like Hadoop or Spark.
• Familiarity with MLOps tools and practices (CI/CD, model monitoring, data version control).
• Experience in reinforcement learning and Monte-Carlo methods.
• A solid grasp of microeconomic principles, including supply and demand dynamics, price elasticity, as well as econometrics.
• Experience with cloud services and platforms, preferably AWS.

Big product software company is looking for a Machine Learning Engineer. Remote work, high salary + financial bonuses (up to 100% of the salary), regular salary review, interesting projects, good working conditions.

REQUIREMENTS:

- Machine Learning experience from 2 years;

- Practical skills with Python;

- Higher education;

- Technical English (higher level is advantage).

COMPANY OFFERS:

- Employment under gig-contract, all taxes are paid;

- Flexible working hours;

- 28 days of paid vacation + 15 days at your own expense;

- Paid sick leave;

- Medical insurance (with dentistry and optics), including the children;

- Opportunity to become an inventor of international patents with paid bonuses;

- Career and professional growth;

- Own base of courses and trainings;

- Office in the Kyiv city centre / remotely;

- Provision of necessary up-to-date equipment;

- Regular salary review and financial bonuses (up to 100% of the salary);

- Bonuses for wedding, birth of children and other significant events;

- Paid maternity leave;

- Paid lunches, tea, coffee, water, snacks;

- Discounts to company's products, services.

Наша компанія активно розвивається і, у зв’язку з цим, ми із задоволенням запрошуємо в свою команду Senior / Middle Data Scientist!

ARGO вже більше 30 років одягає українців в найвідоміші бренди світу. Для нас важливо, щоб кожен покупець знайшов у нас щось для себе, тому і пропонуємо ряд кращих брендів на будь-який смак: Benetton, EQUILIBRI, Jack&Jones, LEE Cooper, Mango, OVS, OXXO, Parfois, Piazza Italia, Timeout, Vero Moda.

Детальніше про нас: https://argo.com.ua/ua/about/

Компанія пропонує:

• Роботу в стабільній компанії;

• Можливість розвиватися професійно;

• Гідну заробітну плату;

• Нормований робочий день;

• Комфортний офіс в центрі міста;

• Цікаві завдання та професійні виклики.

Основні обов’язки на посаді:

• Проектування і реалізація архітектури системи;

• Обробка, підготовка і аналіз даних;

• Розробка і тестування моделей машинного навчання, а також їх впровадження;

• Супровід існуючих моделей;

• Застосування статистичних методів для аналізу і інтерпретації даних, пошук закономірностей та інсайтів для поліпшення якості моделей;

• Автоматизація і шаблонізація завдань, що повторюються;

• Розробка і супровід алгоритмів для рекомендаційних систем;

• Співпраця з кросс-функциональными командами для реалізації рішень;

• Проведення комплексного статистичного аналізу на великих масивах даних для підтвердження правильності прийняття бізнес-рішень.

Наші побажання до кандидата:

• 3+ роки підтвердженого комерційного досвіду;

• 5+ років Python, R і пов’язаних з ним пакетів, таких як Scikit — learn, Shap, Pandas;

• Високий рівень знань в SQL (CTE, window functions);

• Впевненні математичні знання (переважна освіта в області комп’ютерних наук або математики);

• Досвід роботи з великими масивами даних, статистичним аналізом, алгоритмами машинного навчання і розробкою моделей;

• Відмінні комунікативні навички для ефективної взаємодії із зацікавленими сторонами (як технічного так і не технічного характеру).

Перевагою буде:

• Здатність виявляти перспективні сценарії для створення додаткових цінностей у бізнесі;

• Досвід роботи у сфері роздрібної торгівлі;

• Знайомство з фреймворками і бібліотеками штучного інтелекту, такими як TensorFlow, PyTorch або Langchain;

• Досвід роботи з інструментарієм Scientific Python (NumPy, pandas, Scikit — learn, Keras / TensorFlow або PyTorch);

• Досвід роботи з технологіями обробки великих даних, такими як Hadoop, Spark або Hive;

• Досвід проведення статистичних досліджень і A/B- тестування;

• Досвід роботи з інструментами і методами візуалізації даних.

Чекаємо на Ваші резюме з бажаним рівнем заробітної плати!

В команду DataDiscovery шукаємо на розширення Senior Data Scientist. 

Наш ідеальний кандидат має:

- 5+ роки комерційного досвіду розробки.

Навички:

- Python та бібліотеки машинного навчання: TensorFlow, PyTorch;

- Технології Big Data: Kafka, Amazon S3, Spark;

- SQL та аналіз даних: робота з будь-якими джерелами даних (SQL, noSQL, векторні бази даних, column-oriented бази даних , тощо);

- Хмарні платформи: AWS, GCP;

Математична статистика: регресія, розподіл ймовірностей, - перевірка статистичних гіпотез тощо;

- Підходи машинного навчання: регресії, кластеризація, дерева рішень та інші;

- Алгоритми глибокого навчання: transformers, reinforcement learning, autoencoders, diffusion models, тощо;

- Досвід розробки продуктів AI: NLP, CV, Recsys, Generative AI;

- MLOps.

Що потрібно робити:

- Вирішувати продуктові та дослідницькі виклики крутого українського продукту;

- Працювати з реальними даними реальних користувачів;

- Вивчати та впроваджувати складні state-of-the-art алгоритми в області машинного навчання для вирішення практичних задач;

- Оцінювати технічні компроміси по кожному рішенню;

- Працювати в тісному співробітництві з іншими командами для дослідження нових можливостей використання інструментів AI.

Що ми пропонуємо:

- Роботу в стабільній компанії — адже ми понад 10 років на ринку;

- Дійсно цікаві завдання: бери участь у створенні медіасервісу майбутнього;

- Відносини, побудовані на довірі;

- Багато можливостей для розвитку;

- Неймовірно круті корпоративи;

- Безкоштовні уроки англійської мови;

- Заняття з плавання, а також уроки настольного тенісу;

- Корпоративного психолога;

- Для співробітників компанії знижки від брендів партнерів.

Відповідаючи на вакансію і надіславши своє резюме в Компанію (ТОВ «МЕГОГО»), зареєстровану й діючу відповідно до законодавства України, реєстраційний номер 38347009, адреса: Україна, 01011, місто Київ, вул.Рибальська, будинок 22 (далі «Компанія»), ви підтверджуєте та погоджуєтеся з тим, що Компанія обробляє ваші особисті дані, представлені у вашому резюме, відповідно до Закону України «Про захист персональних даних» та правил GDPR.