AI Specialist in healthcare supply domain
vor 6 Stunden
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 a 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. Affinity 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 visualization 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 modeling 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.
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