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Machine Learning Engineer for Natural Language Processing

Kempelenov inštitút inteligentných technológií, v anglickom jazyku Kempelen Institute of Intelligent Technologies

Information about the position

  • Place of work: Bratislava
  • Basic wage component (gross) and other rewards: 1 800 EUR/monthThe final offered salary will depend od the seniority/experience of the successful candidate.
  • Start date: by agreement
  • Contract type: full-time, part-time, trade licence

Job description, responsibilities and duties

Applying novel ML/AI methods
Analysis of software requirements with regards to ML/AI focused on natural language processing (NLP)
Design and development of innovative software solutions (in production quality) encapsulating ML/AI
Solving technological challenges related to ML/AI focused on NLP
Maintenance and support of research software development infrastructure and services
Participation in projects of applied research (collaboration with industry)

Employee perks, benefits

KInIT combines the excellent competencies of academic researchers and educators with innovative companies, their needs and experience. By involving the private sector, we seek to create a healthy research ecosystem that is connected to existing universities, the Slovak Academy of Sciences and above all to the international community.

Information about the selection process

We seek an enthusiastic and experienced NLP Research Engineer who will contribute to the development of the NLP field in Slovakia to become a strong player in world´s AI and to bridge academia and industry, participate in interesting collaboration with industry and knowledge transfer. The focus will also be on the development of intelligent NLP tools and services which can be seminal for Slovak language and will be re-used in other projects and collaborations.

Our new colleague will be bringing research ideas and prototypes to life, getting AI closer to non-research users.

Slovakia is one of the largest growing global NLP markets so there are many opportunities to get involved in NLP solutions.

Requirements for the employee

Candidates with education suit the position

University education (Master's degree)

Educational Specialization

Artificial Intelligence or Machine learning or Natural language processin or Data analysis or Data engineering or Computer science or Information systems or Software engineering

Language skills

Slovak - Proficiency (C2) or English - Intermediate (B1)

Experience in the position/sector

software engineering, data science, or NLP

Number of years of experience

1

Personality requirements and skills

Preferably knowledge of natural language processing.
Preferred technologies: Python, C#, JavaScript, Jupyter, Git, GitHub, Docker, AWS, Microsoft Azure, Google Cloud Platform, PyTorch, HuggingFace, Weights & Biases, MLFlow, Swagger – it is not expected to have experience with all mentioned technologies
Experience in machine learning (including data science), DevOps or software engineering and development
Desire to learn and adopt new tools and technologies as required by the projects
Quality-concerned
Ability to see the big picture
Ability effectively discuss requirements with researchers/industry partners
Ability to study complex technical topics

Advertiser

Brief description of the company

Cieľom Kempelenovho inštitútu inteligentných technológií je zrýchľovať ekonomickú transformáciu Slovenska cez zvyšovanie inovačného potenciálu krajiny postavenom na excelentnom výskume v témach prepojených na umelú inteligenciu. Inšpirovaný podobnými inštitúciami v zahraničí, KInIT ako centrum expertízy podporuje záujem firiem o výskum, ich silnejšie prepojenie s akademickým sektorom a prilákanie talentov na Slovensko.

KInIT vznikol v septembri 2020 ako nezávislý a neziskový inštitút, ktorý sa zaoberá výskumom inteligentných technológií.

Výskumné oblasti KInITu:

Analýza dát pre zelenú energiu
Spracovanie prirodzeného jazyka
Spracovanie webových a používateľských údajov
Informačná bezpečnosť
Etika a ľudské hodnoty v technológiách

Number of employees

25-49 employees