AI Engineer for Machine Translation at Warszawa
Details of the job offer
Role and Responsibilities
- Designing and creating AI systems in areas such as: Large Language Models, Machine Translation, Speech Translation, and Document Summarization, with focus on Machine Translation.
- Development and usage of custom data processing tools for: crawling, storing, searching, cleaning, augmenting, and selecting data for domain adaptation, combining source data into training corpora, preparation of test and development sets.
- Using and developing Machine Learning frameworks for training AI models on various computing clusters.
- Creating both prototypes, as well as commercial solutions for Samsung flagship products, including on-device solutions
- Cooperation with external experts and overseas R&D centers
- Continuous expansion of your skills and knowledge in relevant research areas
Technologies in use
- Main languages: Python
- Occasionally used languages: Java, C++, Kotlin, JavaScript
- DevOps (Linux, bash, git, Slurm, Kubernetes, Docker, KubeFlow, nginx, Ansible)
- Data Engineering & Data Science (variety of libraries for training & test data collection, data augmentation, text corpus processing),
- Natural Language Processing (text classification, language modeling, text generation, information extraction, evaluation of machine learning models, machine translation, deep learning methods).
- Databases (MongoDB, ElasticSearch, MySQL)
- Data Visualization and dashboarding tools (Grafana, Flask, Jupyter, Python visualization stack)
Skills and Qualifications
- Knowledge of topics and algorithms related to Natural Language Processing
- Good knowledge of at least one programming language (Python, Java or C++)
- Good command of Linux environment and shell scripting
- Master’s degree in Computer Science or related field
- Good communication skills, ability to work effectively in a team
- Spoken and written English at a level necessary to prepare technical documentation and business correspondence
- Experience in Natural Language Processing (2+ years)
Nice to have
- PhD degree in Computer Science or related field, research experience, publications in the area of NLP or machine learning
- Knowledge of algorithms and software tools related to machine learning (NumPy, PyTorch, Hugging Face ML tools, TensorFlow, scikit-learn, Pandas, Keras or similar)
- Experience in using cloud services (AWS, GCP, Azure)
- Knowledge of distributed processing software (slurm) and database tools (mongoDb, ElasticSearch)
- Experience in web crawling, web parsing, information retrieval, information extraction, knowledge bases building or Big Data projects
- Experience with large text file manipulation
We offer
Team:
- Friendly working atmosphere
- Wide range of trainings (technical / soft-skills / e-learning platform)
- Opportunity to work in multiple projects
- Multidisciplinary and multicultural team
- Working with the latest technologies on the market
- Monthly integration budget
- Possibility to attend local and foreign conferences
- Opportunity to participate in science research (scientific papers, project proposals, patents applications, development of own side-projects)
Equipment:
- Laptop and PC workstation + 2 external monitors
- OS: Windows, Linux,
Benefits:
- Private medical care (possibility to add family members)
- Multisport card
- Life insurance
- Lunch card
- A partial reimbursement of the cost of an English language course
- Variety of discounts (Samsung products, theaters, restaurants)
- Unlimited free access to Copernicus Science Center for you and your friends
- Possibility to test new Samsung products
Location:
- Hybrid work
- Office in Warsaw Spire near metro station
Zgodnie z obowiązującymi od 24 grudnia 2025 r. przepisami dotyczącymi jawności wynagrodzeń deklarujemy, że każdy kandydat przed rozpoczęciem pracy na oferowanym stanowisku otrzyma pełną informację o wysokości wynagrodzenia zasadniczego, wszystkich dodatkowych składnikach wynagrodzenia oraz świadczeniach pozapłacowych.
Gi Group jest jedną z największych agencji pracy i doradztwa personalnego na świecie. Firma zapewnia kompleks
Role and Responsibilities
- Designing and creating AI systems in areas such as: Large Language Models, Machine Translation, Speech Translation, and Document Summarization, with focus on Machine Translation.
- Development and usage of custom data processing tools for: crawling, storing, searching, cleaning, augmenting, and selecting data for domain adaptation, combining source data into training corpora, preparation of test and development sets.
- Using and developing Machine Learning frameworks for training AI models on various computing clusters.
- Creating both prototypes, as well as commercial solutions for Samsung flagship products, including on-device solutions
- Cooperation with external experts and overseas R&D centers
- Continuous expansion of your skills and knowledge in relevant research areas
Technologies in use
- Main languages: Python
- Occasionally used languages: Java, C++, Kotlin, JavaScript
- DevOps (Linux, bash, git, Slurm, Kubernetes, Docker, KubeFlow, nginx, Ansible)
- Data Engineering & Data Science (variety of libraries for training & test data collection, data augmentation, text corpus processing),
- Natural Language Processing (text classification, language modeling, text generation, information extraction, evaluation of machine learning models, machine translation, deep learning methods).
- Databases (MongoDB, ElasticSearch, MySQL)
- Data Visualization and dashboarding tools (Grafana, Flask, Jupyter, Python visualization stack)
Skills and Qualifications
- Knowledge of topics and algorithms related to Natural Language Processing
- Good knowledge of at least one programming language (Python, Java or C++)
- Good command of Linux environment and shell scripting
- Master’s degree in Computer Science or related field
- Good communication skills, ability to work effectively in a team
- Spoken and written English at a level necessary to prepare technical documentation and business correspondence
- Experience in Natural Language Processing (2+ years)
Nice to have
- PhD degree in Computer Science or related field, research experience, publications in the area of NLP or machine learning
- Knowledge of algorithms and software tools related to machine learning (NumPy, PyTorch, Hugging Face ML tools, TensorFlow, scikit-learn, Pandas, Keras or similar)
- Experience in using cloud services (AWS, GCP, Azure)
- Knowledge of distributed processing software (slurm) and database tools (mongoDb, ElasticSearch)
- Experience in web crawling, web parsing, information retrieval, information extraction, knowledge bases building or Big Data projects
- Experience with large text file manipulation
We offer
Team:
- Friendly working atmosphere
- Wide range of trainings (technical / soft-skills / e-learning platform)
- Opportunity to work in multiple projects
- Multidisciplinary and multicultural team
- Working with the latest technologies on the market
- Monthly integration budget
- Possibility to attend local and foreign conferences
- Opportunity to participate in science research (scientific papers, project proposals, patents applications, development of own side-projects)
Equipment:
- Laptop and PC workstation + 2 external monitors
- OS: Windows, Linux,
Benefits:
- Private medical care (possibility to add family members)
- Multisport card
- Life insurance
- Lunch card
- A partial reimbursement of the cost of an English language course
- Variety of discounts (Samsung products, theaters, restaurants)
- Unlimited free access to Copernicus Science Center for you and your friends
- Possibility to test new Samsung products
Location:
- Hybrid work
- Office in Warsaw Spire near metro station
Zgodnie z obowiązującymi od 24 grudnia 2025 r. przepisami dotyczącymi jawności wynagrodzeń deklarujemy, że każdy kandydat przed rozpoczęciem pracy na oferowanym stanowisku otrzyma pełną informację o wysokości wynagrodzenia zasadniczego, wszystkich dodatkowych składnikach wynagrodzenia oraz świadczeniach pozapłacowych.
Gi Group jest jedną z największych agencji pracy i doradztwa personalnego na świecie. Firma zapewnia kompleks
ul. Kamienna 111 lok. U7S70 1SN50-547 Wrocław, 50-125 Wrocław Tel.: +48 508 040 130 Tel.: +48 508 000 794