We owe it all to our team

As a DevOps Engineer at NeuroSYS, you will deal with various tasks regarding the installation and configuration of our diverse innovative projects. You will work with such technologies as Amazon Web Services, Continuous Integration, Docker, web services. Additionally, you will support the development teams with your knowledge and experience: from designing applications to their implementation.

• Monitoring and servicing production systems 
• Installing and configuring environments for IT systems, including Continuous Integration
• Creating technical documentation for new environments and maintaining documentation for current ones 
• Providing technical support for development teams
• Solving current problems & incidents reported by clients or testers 
• Actively participating in designing systems and architectural solutions for web applications

Our new NLP project is just about to start and we are excited to look for a Machine Learning Ops Engineer to join our R&D team. The project’s goal is to create a set of AI-based methods to extract, process, and organize natural language data stored in a learning management system to provide various functionalities, like discovering semantic relations, creating search engine, and question answering.

• Design, build, test, and maintain machine learning infrastructure for various deep learning solutions
• Manage, monitor, and troubleshoot computational resources
• Design and develop automatic data processing and storage pipelines
• Work closely with a research team to deliver and maintain production systems

We are looking for experienced developer, who will join one of our various projects and will create new functionalities in our web application. 

We are looking for a person who is crazy about sourcing the best IT talents, is full of positive energy and empathy towards others and their needs. As a member of our team, you have to like talking (but also listening carefully!), value honesty, authenticity and engagement. Sounds like you? Join us!
We are open to start part-time (min. 1/2) cooperation with you, and in the future extend it to full-time. 

• Conducting „end-to-end” recruitment processes 
• Verifying employment needs and creating candidates’ profiles  in cooperation with tech leaders
• Actively sourcing both passive and active candidates (direct/executive search and others)
• Preparing and publishing creative job ads for various platforms 
• Screening CVs, interviewing candidates, scheduling tech interviews, collecting feedback, coordinating the recruitment process and maintaining smooth communication with candidates
• Building long-term relationships with candidates and paying meticulous attention to positive candidate experience
• Accurately documenting and maintaining all candidates’ information in the company ATS 
• Participating in the onboarding process
• Conducting market research, implementing new ideas to create innovations, e.g. sourcing strategies, new tools or alternative sources of candidates 
• Cooperating with vendors (e.g. career offices, recruitment agencies, job boards). 
• Supporting employer branding and recruitment marketing activities (e.g. social media communication, preparing and participating in job fairs, events and meetings) 

Our new NLP project is just about to start and we are excited to look for a Machine Learning Researcher to join our R&D team. The project’s goal is to create a set of AI-based methods to extract, process, and organize natural language data stored in a learning management system to provide various functionalities, like discovering semantic relations, search engine, and question answering.

• Research, implement, and optimize state-of-the-art machine learning algorithms
• Take part in creating scientific strategy for the project
• Oversee and mentor NLP team 
• Design information retrieval and question answering systems

We are looking for a Lead Machine Learning Researcher to join our R&D team. We develop algorithms for microbiology laboratories, augmented reality system designed for industry, surveillance, and many more, using state-of-the-art methods of computer vision. We carry out two research projects co-funded by the National Centre for Research and Development. 

• Research, implement, and optimize state-of-the-art machine learning algorithms
• Assess current technologies and academic research
• Lead and mentor teams working on ML-related problems
• Take part in creating scientific and technical strategy for the company