Jobs

Ми шукаємо талановитого Intern Data Scientist, який захоплюється аналізом даних, прагне розвивати практичні навички в побудові моделей, роботі з великими масивами інформації та має бажання навчатися й зростати разом із командою. Це чудова можливість для старту кар’єри у сфері Data Science!

Основні обов’язки
- Збір, консолідація та підготовка даних з різних джерел.  
- Участь у розробці та покращенні алгоритмів аналізу даних.  
- Побудова базових аналітичних та прогнозних моделей.  
- Створення запитів до баз даних і підготовка звітів.  
- Візуалізація даних для внутрішніх команд та прийняття рішень.  
- Вивчення та застосування статистичних підходів до аналізу.  
- Співпраця з аналітиками, розробниками та бізнес-командами.  
- Автоматизація повторюваних аналітичних задач.

Вимоги до кандидата
- Досвід навчання або стажування у сфері Data Science / аналітики даних.  
- Базове володіння Python (pandas, numpy, sklearn тощо).  
- Знання основ SQL та вміння працювати з базами даних.  
- Розуміння базових статистичних методів та принципів моделювання.  
- Навички візуалізації даних (Power BI, Tableau або matplotlib/seaborn).  
- Бажання навчатися й розвивати навички роботи з Big Data та хмарними технологіями (Azure — буде перевагою).  
- Аналітичне мислення, уважність до деталей, ініціативність.

Ми пропонуємо
- Гнучкий графік та віддалений формат роботи.  
- Роботу над реальними кейсами й аналітичними задачами.  
- Менторство з боку досвідчених Data Scientist-ів.  
- Можливість подальшого працевлаштування за результатами стажування.  
- Дружню атмосферу та підтримку розвитку.

Якщо ти хочеш розпочати кар’єру в Data Science, працювати з даними, що мають значення, і зростати професійно — надсилай своє резюме!

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
  -Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
  -Drive the roadmap for machine learning projects aligned with business goals;
  -Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
• Machine Learning & LLM Expertise
  -Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
  -Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
  -Stay ahead of advancements in LLMs and apply emerging technologies;
  -Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
• AWS Cloud Expertise
  -Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
  -Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
  -Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
• Technical Execution
  -Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
  -Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
  -Debug, troubleshoot, and optimize production ML models for performance.
• Team Development & Communication
  -Conduct regular code reviews and ensure engineering standards are upheld;
  -Facilitate professional growth and learning for the team through continuous feedback and guidance;
  -Communicate progress, challenges, and solutions to stakeholders and senior leadership.
  
  Qualifications:
• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

GoClinicMD та Ai-Clinic Lite — це поєднання медичного досвіду та технологічних інновацій. Ми створюємо продукти, які трансформують підхід до медичної допомоги та управління клініками.
 

GoClinicMD спеціалізується на швидкій телемедичній допомозі, направленнях до спеціалістів, цифрових рецептах і супроводі пацієнтів на всьому шляху лікування. У той час як Ai-Clinic Lite — це інструмент для оптимізації роботи стоматологічних клінік, який підвищує продуктивність лікарів та якість обслуговування пацієнтів.
 

Наша місія — зробити медицину доступнішою, зручнішою та ефективнішою для кожного.

Наші умови роботи:

Фіксована оплата в $.
Відпустка - 18 робочих днів на рік, 10 лікарняних.
Систематичний перегляд заробітної плати 2 рази на рік.
Для тих, хто живе у Львові, є можливість приїжджати в офіс або ж ви можете працювати віддалено і планувати свій робочий час самостійно.

Обов’язки:

• Розробка та оптимізація моделей машинного навчання (ML) та штучного інтелекту (AI).
• Впровадження, навчання AI в рамках проекта під бізнес потреби і побудова AI продуктів в середині існуючого продукту
• Аналіз та підготовка даних для навчання моделей.
• Впровадження та тестування ML/AI-рішень у реальних продуктах.
• Робота з фреймворками TensorFlow, PyTorch, Scikit-learn тощо.
• Оптимізація продуктивності моделей та їх масштабованості.
• Взаємодія з командами розробників, аналітиків та продукт-менеджерів.
• Впровадженні нових технологій AI.
   

Вимоги:

• Досвід роботи в ML/AI від 2 років.
• Знання Python, R або іншої мови програмування для машинного навчання.
• Досвід роботи з бібліотеками та фреймворками (TensorFlow, PyTorch, OpenCV тощо).
• Знання алгоритмів машинного навчання, нейронних мереж, обробки природної мови (NLP) або комп’ютерного зору (Computer Vision).
• Досвід роботи з базами даних та системами розподілених обчислень (Big Data – буде плюсом).
• Досвід в роботі з медичними проектами в США (буде плюсом).
• Знання HIPAA compliance і робота з медичним даними.
• Вміння працювати з API та інтегрувати ML-моделі в програмні продукти.
• Досвід роботи з хмарними платформами (AWS, GCP, Azure – буде плюсом).
   

Буде перевагою:

• Досвід роботи в комерційних проєктах з AI.
• Участь у наукових дослідженнях, публікації у сфері Data Science.

Responsibilities

Model Fine-Tuning and Deployment:

Fine-tune pre-trained models (e.g., BERT, GPT) for specific tasks and deploy them using Amazon SageMaker and Bedrock.

RAG Workflows:

Establish Retrieval-Augmented Generation (RAG) workflows that leverage knowledge bases built on Kendra or OpenSearch. This includes integrating various data sources, such as corporate documents, inspection checklists, and real-time external data feeds.

MLOps Integration:

The project includes a comprehensive MLOps framework to manage the end-to-end lifecycle of machine learning models. This includes continuous integration and delivery (CI/CD) pipelines for model training, versioning, deployment, and monitoring. Automated workflows ensure that models are kept up-to-date with the latest data and are optimized for performance in production environments.

Scalable and Customizable Solutions:

Ensure that both the template and ingestion pipelines are scalable, allowing for adjustments to meet specific customer needs and environments. This involves setting up RAG workflows, knowledge bases using Kendra/OpenSearch, and seamless integration with customer data sources.

End-to-End Workflow Automation:

Automate the end-to-end process from user input to response generation, ensuring that the solution leverages AWS services like Bedrock Agents, CloudWatch, and QuickSight for real-time monitoring and analytics.

Advanced Monitoring and Analytics:

Integrated with AWS CloudWatch, QuickSight, and other monitoring tools, the accelerator provides real-time insights into performance metrics, user interactions, and system health. This allows for continuous optimization of service delivery and rapid identification of any issues.

Model Monitoring and Maintenance:

Implement model monitoring to track performance metrics and trigger retraining as necessary.

Collaboration:

Work closely with data engineers and DevOps engineers to ensure seamless integration of models into the production pipeline.

Documentation:

Document model development processes, deployment procedures, and monitoring setups for knowledge sharing and future reference.

Must-Have Skills

Machine Learning: Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.

MLOps Tools: Proficiency with Amazon SageMaker for model training, deployment, and monitoring.

Document processing: Experience with document processing for Word, PDF, images.

OCR: Experience with OCR tools like Tesseract / AWS Textract (preferred)

Programming: Proficiency in Python, including libraries such as Pandas, NumPy, and Scikit-Learn.

Model Deployment: Experience with deploying and managing machine learning models in production environments.

Version Control: Familiarity with version control systems like Git.

Automation: Experience with automating ML workflows using tools like AWS Step Functions or Apache Airflow.

Agile Methodologies: Experience working in Agile environments using tools like Jira and Confluence.

Nice-to-Have Skills

LLM: Experience with LLM / GenAI models, LLM Services (Bedrock or OpenAI), LLM abstraction like (Dify, Langchain, FlowiseAI), agent frameworks, rag.

Deep Learning: Experience with deep learning models and techniques.

Data Engineering: Basic understanding of data pipelines and ETL processes.

Containerization: Experience with Docker and Kubernetes (EKS).

Serverless Architectures: Experience with AWS Lambda and Step Functions.

Rule engine frameworks: Like Drools or similar

If you are a motivated individual with a passion for ML and a desire to contribute to a dynamic team environment, we encourage you to apply for this exciting opportunity. Join us in shaping the future of infrastructure and driving innovation in software delivery processes.

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
  -Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
  -Drive the roadmap for machine learning projects aligned with business goals;
  -Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
• Machine Learning & LLM Expertise
  -Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
  -Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
  -Stay ahead of advancements in LLMs and apply emerging technologies;
  -Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
• AWS Cloud Expertise
  -Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
  -Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
  -Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
• Technical Execution
  -Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
  -Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
  -Debug, troubleshoot, and optimize production ML models for performance.
• Team Development & Communication
  -Conduct regular code reviews and ensure engineering standards are upheld;
  -Facilitate professional growth and learning for the team through continuous feedback and guidance;
  -Communicate progress, challenges, and solutions to stakeholders and senior leadership.
  
  Qualifications:
• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

High-Tech software company is looking for a Data Scientist / Machine Learning Engineer. Remote work, high salary + financial bonuses, interesting projects, good working conditions.

REQUIREMENTS:

- DS/ML experience from 3 years;

- Practical skills with time series modelling / tabular data / predictive modelling;

- Expertise in Python;

- Higher education is advantage;

- English – Upper-Intermediate.

COMPANY OFFERS:

- Employment as a private entrepreneur;

- Working hours from 10:00 to 19:00 (Kyiv time);

- Fully remote work;

- Career and professional growth;

- Financial bonuses.

Location: Poland
English: Upper-Intermediate+

Our client is one of the top 5 global management consulting firms, widely recognized as one of the most prestigious in the industry. They serve hundreds of Fortune 500 clients, including major global financial institutions, leading media and tech companies, and federal agencies. Their proven platforms and services are trusted by some of the biggest names worldwide.

🧠 About the Project
You’ll be part of the Strategy & Corporate Finance department — a key unit within the firm that supports clients in tackling strategic and financial challenges. The team combines deep domain expertise with advanced analytical tools to deliver high-impact solutions.

🔧 Tech Stack:
Python, SQL, Pandas, NumPy, TensorFlow, PyTorch, RAG Implementation, Agents, AWS (Azure is a plus)

✅ Requirements:

• 3+ years of experience in data science or a related AI-focused role
• Solid knowledge of AI techniques including machine learning, deep learning, and NLP
• Hands-on experience with Python and key libraries: Pandas, NumPy, scikit-learn, streamlit
• Experience with AI/ML frameworks (TensorFlow, PyTorch)
• SQL proficiency
• Understanding of RAG and agent-based implementations
• Familiarity with Agile methodologies and experience working in Agile teams
• Cloud experience (AWS required, Azure/Google Cloud is a plus)
• Product-oriented mindset with a focus on iterative improvement
• Strong analytical and problem-solving skills
• Ability to clearly communicate complex ideas to both technical and non-technical audiences
• Good software engineering practices: version control, testing, code reviews
• Interest or background in Corporate Finance is a bonus
• Collaborative and proactive attitude, eagerness to stay current with tech trends

💼 Responsibilities:

• Analyze complex datasets to uncover insights using AI techniques
• Build and deploy AI models tailored to client-specific business needs
• Collaborate with consultants and domain experts to shape AI-driven strategies
• Communicate data-driven findings to diverse stakeholders
• Continuously enhance existing models for better accuracy and performance
• Contribute to the AI infrastructure and toolset used by the team
• Stay up to date with the latest trends in AI, ML, and DL

We are looking for a Senior Data Scientist / ML Engineer to spearhead our Demand Forecasting & Dynamic Pricing project in the travel industry.
 

Our Sweden client provides a market-leading business system designed specifically for the travel industry. Their platform offers seamless travel management, online booking, and integrations with global distribution systems. With AI-driven tools, multi-currency support, and flexible payment options, they help travel businesses scale efficiently while reducing administrative workload.

This role will blend deep expertise in advanced modelling (time-series, regression, neural networks) with hands-on MLOps practices (deployment, CI/CD, monitoring). 

You’ll collaborate cross-functionally with product managers and domain experts to rapidly prototype, evaluate, and iterate on state-of-the-art forecasting models and dynamic pricing algorithms that will form the foundation of our next-generation revenue optimization platform.

What you'll do in this role  

• Research and prototype time-series forecasting models (ARIMA, LSTM, Temporal Fusion Transformer, XGBoost, etc.) for both short-term and long-term demand projections.
• Create feature-engineering pipelines to integrate historical booking data, external signals (Google Analytics, weather, marketing campaigns), and other contextual data.
• Conduct experiment tracking (e.g., MLflow, Neptune) to compare different model architectures and hyperparameter settings.
• Develop and test pricing algorithms that leverage demand forecasts, price elasticity estimates, and business constraints (e.g., min/max price rules).
• Analyze historical data to quantify customer price sensitivity and model potential revenue uplift from dynamic pricing strategies.
• Collaborate with product teams to design A/B testing or offline simulations that measure the impact of dynamic pricing.
• Package models for production using Docker or similar containerization, ensuring efficient inference and easy reproducibility.
• Set up (or contribute to) CI/CD pipelines for automated model retraining, testing, and versioning in cloud environments (AWS, GCP, or hybrid).
• Implement model performance monitoring (forecast accuracy, latency, revenue KPIs) and alerting for deviations or drifts.
• Work closely with Data Engineers to define data requirements, optimize data ingestion, and maintain high data quality.
• Partner with Product Managers and domain experts to translate business goals into clear ML objectives; provide guidance on feasibility, timeframes, and trade-offs.
• Present findings and progress to internal stakeholders, articulating technical concepts in business-friendly language.
• Stay current with cutting-edge research in time-series forecasting, causal inference, and optimization (e.g., reinforcement learning for pricing).
• Advocate for responsible AI: ensure compliance with GDPR/privacy regulations, interpretability, and fairness in pricing models.
• Mentor junior team members, conduct code reviews, and help establish coding, documentation, and testing standards within the data science group.

We're looking for

• 5+ years of relevant experience in data science or ML engineering (experience with time-series forecasting and/or pricing optimization strongly preferred).
• A track record of delivering production-grade ML solutions, ideally in a cloud environment (AWS, GCP, or Azure).
• Expertise in Time-Series Modeling: Proficiency with techniques such as ARIMA, SARIMA, Facebook Prophet, LSTM/GRU, Transformer-based forecasting, etc.
• Python & ML Libraries: Fluency in Python ML stack (PyTorch, TensorFlow, scikit-learn, XGBoost), plus robust understanding of software engineering best practices (version control, testing).
• Data Handling: Familiarity with SQL, data warehouses (BigQuery, Redshift, Snowflake), and ETL/ELT workflows.
• MLOps: Experience with containerization (Docker), CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), and orchestration (Kubernetes or serverless platforms).
• Pricing / Optimization: Working knowledge of optimization algorithms, price elasticity modelling, A/B testing frameworks, or revenue management concepts is a big plus.

How to knock our socks off

• Bachelor’s or Master’s degree in a quantitative field (Computer Science, Statistics, Applied Math, Engineering, etc.)
• Experience with high-volume transactional systems
• Familiarity with travel industry software
• Naming five or more dishes that include beetroot besides borshch.

✔ Not checking every box?

This job looks very exciting, but you hesitate to apply because of the confidence gap? Reach out to us anyway! Beetroot is an inclusive workplace that considers all applicants. We’re committed to openness — promoting equality and fostering an environment where different backgrounds, ideas, and experiences are not just accepted, but embraced. So let’s discover together whether we could be an excellent fit for each other.

Please send us your CV in English, and we'll be happy to discuss your application further.

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.

Команда LeaSoft шукає талановитого та досвідченого Game Mathematician для роботи безпосередньо з провідною британською компанією в індустрії iGaming. Якщо ви маєте глибоке розуміння математичних принципів, творчий підхід до розробки ігрових механік та бажання працювати в міжнародному середовищі, ця вакансія для вас.
 

Хто ми та що ми робимо?

LeaSoft - сервісна компанія з метою стати консалтинговою компанією у найближчий рік в області Payments eCommerce та GameDev. Ми пишаємося нашими досягненнями у галузі Game Dev та прагнемо розширити наш продуктовий напрямок.
 

Наш головний пріоритет – люди:

• Співробітники. Будуть гарні співробітники – будуть гарні клієнти.
• Клієнти. Будуть гарні клієнти – буде гарний прибуток та проєкти.
   

Чому ми це робимо?

Ми прагнемо створювати інноваційні та захоплюючі ігрові продукти, які приносять задоволення гравцям по всьому світу. Ця вакансія надає унікальну можливість працювати над передовими проєктами в індустрії iGaming.
 

Чим ми відрізняємось від інших?

Ми цінуємо творчий підхід, відкрите спілкування та командну роботу. У нас ви знайдете підтримку та можливість розвивати свої навички в міжнародному середовищі.
 

Про проєкт:

Ви будете працювати над розробкою математичних моделей та механік для інноваційних ігор в індустрії iGaming, безпосередньо співпрацюючи з британською компанією.
 

Що робити у проєкті?

• Тісна співпраця з керівником ігор, власником продукту або провідним математиком для визначення обсягу ігрового процесу, функцій, цільових частот виграшів та розподілу виграшів.
• Створення та розробка захоплюючих ігрових механік для азартних продуктів з використанням математики ймовірностей та методів програмування.
• Кодування ігрових симуляторів для перевірки математичних розрахунків та збору статистичних даних.
• Пояснення математичної логіки та потоку розробникам, щоб забезпечити відповідність ігор вашій роботі.
• Створення та ведення математичної документації.
• Автономна ітерація математичних моделей для створення оптимального балансу гри на основі бізнес-стратегії.
• Тісна співпраця з тестовими лабораторіями, коли це необхідно, для швидкої та ефективної сертифікації математичних розрахунків.
   

Які професійні навички нам важливі?

• 5+ років досвіду роботи математиком в індустрії азартних ігор.
• Відмінні комунікативні навички.
• Навички програмування на таких мовах, як Java, C або C#.
• Вміння працювати в команді, дотримуючись термінів та забезпечуючи розуміння ваших методів колегами.
• Досвід менторства інших математиків (бажано).
• Досвід роботи з різними типами слот-продуктів.
   

Чи потрібна англійська?

Так, англійська обов’язкова. Рівень Upper-Intermediate і вище.
 

Що нам важливо у людині?

• Аналітичний склад розуму.
• Творчий підхід.
• Уважність до деталей.
• Вміння працювати в команді.
• Відповідальність.
   

Чому відкрито позицію?

Розширення команди.
 

Перспектива зростання/розвитку за даною позицією?

Можливість професійного зростання в міжнародній компанії.
 

Розмір та структура команди?

Ви будете працювати в міжнародній команді професіоналів.
 

Де знаходяться люди, які приймають технічні рішення щодо проєкту?

Технічні рішення приймаються спільно з міжнародною командою.
 

За умовами:

• Робота безпосередньо з британською компанією.
• Графік роботи: з 9:00 до 18:00 за лондонським часом.
• Локація: Європа (розглядаємо кандидатів з інших регіонів).
• Робота у міжнародній команді.
• Можливість професійного розвитку.

We are looking for an experienced AI Engineer to develop and optimize AI-driven solutions for data-intensive environments for our client - an American pharmaceutical company. In this role, you will work closely with data engineers, business analysts, and domain experts to build scalable AI models, integrate them into the Palantir Foundry workflows, and drive automation across business processes.

Key Responsibilities:

• Develop and deploy AI/ML models using Palantir Foundry and AIP to enhance decision-making and process automation.
• Design and optimize Foundry pipelines, Ontology workflows, and AI-powered applications tailored to business needs.
• Collaborate with data engineers to ingest, clean, and transform large datasets for AI model training and inference.
• Fine-tune LLMs and other AI models within Palantir AIP for enterprise applications.
• Integrate AI models into Foundry workflows and operationalize AI-driven insights.
• Ensure model performance, scalability, and compliance with enterprise security standards.
• Work closely with stakeholders to translate business requirements into AI-driven solutions.

Requirements:

• 3+ years of experience in AI/ML engineering.
• Strong background in Python for data processing and model development.
• Hands-on experience with LLMs, NLP, and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with MLOps, model monitoring, and optimization in a production environment.
• Strong problem-solving skills and ability to work in an agile environment.
• Excellent communication skills to collaborate with technical and non-technical stakeholders.

Nice to Have:

• PySpark
• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

At Uvik Software, we specialize in building dedicated development teams and delivering high-quality software solutions to clients around the world.

🔎 We are seeking a highly skilled  Machine Learning Engineer with expertise in Generative AI to design, develop, and deploy cutting-edge AI solutions. You will work in a collaborative environment, focusing on scalable and high-performance models while ensuring security and compliance with industry standards.

🟣  Responsibilities:
- Develop and optimize Generative AI models (LLMs, GANs, diffusion models) for real-world applications.
- Implement and fine-tune ML/DL algorithms using TensorFlow, PyTorch, Scikit-learn.
- Build scalable AI pipelines and deploy models on AWS, Azure, or GCP.
- Collaborate with internal teams to ensure seamless AI integration.
- Ensure security, compliance, and best practices in AI model development.
- Participate in Agile development, CI/CD, and DevOps workflows.

🔹 Requirements:

• Strong hands-on experience in Machine Learning, Deep Learning, and NLP.
• Strong understanding of Generative AI: LLMs (e.g., GPT, BERT), GANs, Variational Autoencoders, and diffusion models.
• Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Expertise in cloud-based ML deployment (AWS, GCP, or Azure).
• Experience with MLOps, CI/CD, and Agile methodologies.
• Strong problem-solving skills and ability to work in a collaborative environment.
• English: Upper-Intermediate or higher
   

☑️ We Offer: 

• 18 vacation days and 12 sick leaves per year
• Top Equipment: MacBook Pro + Dell Monitor
• Flexible Schedule: Maintain work-life balance with adaptable hours
•  Work on cutting-edge technologies with real-world applications
• Career Growth: Opportunities for long-term engagements and professional development

• Competitive Salary: Based on experience and value brought to the team
   

  🦾 Interested? Let’s build the future of AI together.

Job Description:

• 5-6 years of commercial experience, including at least 3 years in a related field;
• Strong knowledge and proven experience with Machine Learning, Computer Vision and Deep Learning;
• Technically strong with Python and/or other relevant programming experience;
• Ability to design and implement complex algorithms;
• Proficiency with numpy, scipy, opencv, tensorflow;
• Self manageable person, able to work without supervision;
• Experience in a field related to video analysis and/or processing;
• Strong communication skills with Upper-Intermediate English level.
  
  Job Responsibilities
• We are seeking an experienced Senior Computer Vision Developer to join a collaborative initiative with our client's team, aimed at advancing and maintaining multiple real-time systems that leverage computer vision technologies. In this role, you will integrate seamlessly with both our internal team and the client's, contributing to a unified approach for enhancing system capabilities.

• Your key responsibilities will involve developing and optimizing computer vision models, addressing existing bugs, and implementing new features that enhance system performance across various applications. You will be instrumental in supporting and evolving these systems to meet new challenges, working within a cross-functional team and contributing to a shared backlog.

   

Project Description

• Our client runs one of the most popular amusement parks in the world. The safety of their guests and cast members is the key to providing a seamless entertainment experience and our client was looking for ways to leverage the latest technology to take safety to the next level.
  
  GlobalLogic helps the client create a flexible real-time AI-based attraction monitoring system to detect, alert, and record any discrepancy between the number of people detected by an overhead camera and the number of occupied seats from the seat sensor indicator lights.

About the Role

We are seeking a talented Data Scientist to join our Product Analytics team. 
 

This role involves leveraging analytical expertise and machine learning skills to develop predictive models and innovative data-driven solutions. Your contributions will have a direct impact on critical areas such as pricing optimization, customer segmentation, and expert matching. If you are passionate about applying AI to solve real-world challenges and driving meaningful business outcomes,

What You’ll Do:

• As an individual contributor, provide analytical thought leadership to drive strategy, suggest new analyses, statistical/ML frameworks, testing methods and infrastructure improvements to drive value for the business.
• Collaborate with stakeholders to define problem statements, develop new signals using JA data incl. conversational data, develop hypotheses and translate them into analytical solutions and actionable insights presented to wider audiences.
• Perform both Descriptive & Prescriptive Analytics including experimentations (AB, MAB), implement and track trends in business metrics that will help drive the business
• Own outcomes of deep dive analyses, by covering problem definition, metrics development and implementation, data extraction, visualization and presentation to the stakeholders
• Develop machine learning models to solve business problems related to customer segmentation, customer retention, conversation quality, and revenue optimization.
• Become a go to AI/ DS expert who directly and indirectly oversees the model development and advanced statistical work of other analysts.
• Test, validate, and optimize models to ensure performance and scalability.

What We’re Looking For:

• Experience: 2-5 years in data science or product analytics roles focused on model development.
• Technical Skills:
• Proficiency in SQL and Python; experience with BigQuery preferred.
• Strong programming abilities, including familiarity with ML libraries such as TensorFlow, PyTorch, or Keras.
• Hands-on experience with statistical methods and machine learning techniques, including regression, classification, clustering, time series analysis, and frameworks like Naive Bayes, XGBoost, and neural networks.
• Basic knowledge of NLP, computer vision, or reinforcement learning.
• Analytical Expertise: Strong foundation in descriptive and inferential statistical analysis, as well as advanced experimental design.
• Education: Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Mathematics, Econometrics, or Statistics.

Preferred Qualifications:

• Experience in e-commerce, product, or retail analytics.
• Proficiency in NLP and text analytics techniques.
• Familiarity with large language models (LLMs) and prompting.

• Understanding of CI/CD pipelines for machine learning model deployment.

   

Perks and Benefits

• Time off throughout the year (paid and unpaid)
• Professional development support and encouragement
• Resources to help improve your overall well-being
• Free membership to dive into JA product