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PHOENIX Pharma Bulgaria

Generative AI Developer

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    Tech Stack / Requirements

    We are PHOENIX Pharma – a leading integrated healthcare provider in Europe. Our approximately 45000 employees make an important contribution to comprehensive healthcare in Europe. In a total of 29 countries, we supply pharmacies, doctors, and medical institutions with pharmaceuticals and health products through 224 distribution centers. Millions of people across Europe can rely on our services every day.

    Our international IT Hub in Sofia, Bulgaria is growing. You will be able to work with different teams within the PHOENIX Group in Europe, being involved in projects related to SAP, Security, Infrastructure, Cloud, Network, OCC, Business Intelligence, ERP, and CRM Solutions. You will have the chance to participate in the development of projects and products that are diverse, visible, interesting, and for the public welfare and health. You will work in an international environment and culture with a constant exchange of onsite-/offsite knowledge.

    We are looking for a Generative AI Developer to join our international team in Sofia.

     

    Your Responsibilities:

    • Create data science products as a part of our central analytics team and in close collaboration with internal stakeholders.

    • Implement and automate data science algorithms.

    • Define and deploy models and end-to-end pipelines on Microsoft Azure.

    • Contribute to the maintenance of the infrastructure required for data science projects.

    • Develop and deploy AI-based tools that use large language models (LLM) and RAG (Retrieved Augmented Generation).

    • Evaluate business problems and find solutions within the domain of AI automation.

    • Collaborate with cross-functional teams to identify and solve complex problems.

    • Write clean, maintainable, and efficient code.

    • Stay up-to-date with emerging trends and technologies in AI and machine learning.

     

    Your Profile:

    • You hold a Master’s degree or Ph.D. in computer science, data science, or a similar field.

    • You have profound knowledge of at least one relevant programming language. Ideally, you are proficient in Python and experienced in collaborative software development and the usage of version control systems such as git.

    • You have practical experience with cloud technologies, preferably Microsoft Azure, regarding in particular

    o building CI/CD pipelines

    o deployment of applications

    o DevOps workflows

    • Experience with frontend frameworks, such as: TypeScript, Fluent, Angular, Vue.js, React.

    • Familiarity with the RAG technique and its applications in natural language processing (NLP).

    • Knowledge of information retrieval (IR) techniques and algorithms (VectorSearch, Elastic Search, Cognitive Search).

    • Understanding the principles of NLP, LLM, Deep Learning and experience with relevant libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.

    • Excellent problem-solving skills and the ability to work independently and as part of a team.

    • Strong communication skills to effectively communicate technical concepts to non-technical stakeholders.

    • You are familiar with methods of agile project management.

    • You have experience, or you are willing to develop skills, in domains such as dynamic pricing, consumer analytics, and demand forecasting.

    • The ability to work in English is required. Speaking German is a plus.

     

    What We Offer:

    • 26 days paid annual leave.

    • Health insurance.

    • Food vouchers.

    • Flexible working time and options to work from home.

    • Free parking.

    • Sports venue pass at a preferential price.

    • Learning and development.

    • Employee discounts for company products and services.

    • Others will be added in the course of establishing the hub.

     

    Send us your recent resume if you recognize this role as a career opportunity. Only short-listed candidates will be contacted.

    All applications will be treated with strict confidentiality.