Job Summary
We are seeking a Junior AI Specialist to join our team at a leading European provider of medical equipment
and healthcare solutions. In this role, you will collaborate across departments to integrate AI technologies like
large language models (LLMs), natural language processing (NLP), and machine learning to enhance business
operations, optimize logistics, and drive market research and trend forecasting. You will focus on developing
AI-driven solutions that align with regulatory frameworks such as ISO 13485 and ISO/IEC 27001, ensuring
compliance in the healthcare sector.
Job Overview
As a forward-thinking company, we are embracing the potential of artificial intelligence (AI) to improve our
business and logistics operations. We are seeking a Junior AI Specialist to join our team and explore how
modern AI technologies such as large language models (LLMs), agents, and natural language processing (NLP)
can enhance our processes and drive innovation. We also want to test the applicability of classical machine
learning models(time series analysis, (un)supervised machine learning) in helping us to perform market
research and trend forecasting. As a part of our continuous commitment to maintaining superior quality and
operational efficiency, we are building a roadmap to undergo ISO 13485 and ISO/IEC 27001 certifications and
want someone for this role who can help us assess how AI innovations in our business workflow can fit within
these regulatory frameworks and help us implement them. The candidate will have to learn our business
workflow and propose/research how to meaningfully integrate AI-driven solutions.
Key Responsibilities
Collaborate with different teams to identify opportunities where AI technologies can be integrated to
improve business and logistics operations, ensuring compatibility with regulations and efficiency.
Research, prototype, and implement AI-based solutions using technologies such as LLMs, NLP, machine
learning models, and AI agents.
Develop and maintain software and AI solutions for automation, predictive analytics in market research,
and process optimization.
Conduct rigorous testing and validation of AI models to guarantee performance, accuracy, and
reliability.
Create technical documentation and reports to support AI system development and deployment.
Stay informed about advancements in AI technologies and recommend innovative tools or techniques
for application.
Qualifications
Bachelor's or preferably Master’s degree from reputable university in Computer Science, Cybersecurity,
Artificial Intelligence, Data Science, or a related field. Degrees in Mathematics, Physics and other
Natural Sciences may also be considered if sufficient knowledge of required areas is demonstrated.
2-4 years of hands-on experience in Python programming, including proficiency in AI-focused libraries
and frameworks such as TensorFlow, PyTorch, Keras, scikit-learn, etc. Knowledge of C++ is a must.
Affitiny with other programming languages is a plus.
Academic-level knowledge in machine learning and modern AI technologies, preferably including but
not limited to:
NLP, LLM
Machine Learning (supervised and unsupervised)
Time Series forecasting
Deep Learning (CNNs, RNNs, Transformers)
Computer Vision
Generative AI
Agents
Familiarity with data processing and analysis tools such as Pandas, NumPy, and SQL and database
management systems such as MSSQL.
Experience with visualisation tooling such as Tableau, Power BI or Python-based libraries.
Experience with cloud platforms (AWS or Azure)
Experience with Git and knowledge of software engineering best practices.
Experience in or willingness to learn ISO 13485 and ISO 27001 standards.
Ability to read through and understand large amounts of technical regulatory specifications to take part
in restructuring business operations. Willingness to dive deep into areas outside of your expertise to
better understand our business processes.
Knowledge of the principles and technical means of cybersecurity and cryptography is a must (we are
planning to implement ISO 27001 standard). Additional cybersecurity knowledge is a strong advantage.
Confident Linux usage for data science is a must.
Diverse knowledge of various quantitative modelling techniques (signal processing, Monte-Carlo
simulations, etc.) is a strong advantage.
Previous experience working within the healthcare supply domain or with companies of a similar profile
is highly desirable.
Strong analytical and problem-solving skills with attention to detail, coupled with a will-do attitude
since this role implies a lot of responsibility.
Ability to work collaboratively and effectively communicate technical concepts to non-technical
stakeholders.
Proficiency in English, Belarusian and/or Ukrainian is required, and knowledge of additional European
languages is a plus.