About the Client
Our client is a provider of top-of-the-line medical solutions with innovative strength in diagnostic and therapeutic technologies, including information technology and system integration. therapies, medical IT solutions complemented with advice and service support. They deliver a comprehensive range of solutions - from prevention and early detection to diagnosis, treatment and patient care.
Benefits:
- Variable and Christmas bonus
- Hybrid type of work – combination of telework and work from office
- Flexible Working Hours
- Bridge days – free extra paid leave 6 days per year
- 3 sick days per year (no doctor’s permit needed)
- In case of sickness 100% salary reimbursement 20 days/ year, this includes max. 10 days/ year for of
family care
- Additional pension plan
- 300 EUR for regeneration of work force via cafeteria system
- Wellbeing program – Psychological, Legal and Financial Councelling
- Family care program (subsidy for newborns, maternity leave, kindergardens, summer camps)
- Retention program (work anniversary, life anniversary, employee loans)
- Training and development program (business and product trainings, e-learning, language courses,
soft skills trainings,…)
- Adjustable standing desk as a standard
- Participation on world famous IT conferences like Microsoft IGNITE for best employees
- Wide project portfolio in healthcare domain and job rotation within company (Cybersecurity,
Artificial Intelligence, Healthcare IT services …)
About the Role
For our client we are looking for a Machine Learning & Data Engineer who will work on a central AI service that provides a platform for data scientists and non-data scientists alike to implement AI related use cases. The prime goal is the provision of value by designing, establishing, and operating Artificial Intelligence based solutions for client´s internal use cases, as well as providing guidance, training, and overall support.
Responsibilities
- You will engage with internal stakeholders and collect requirements to convert their demands into efficient, compliant, and valuable solutions.
- You will assess use case requests regarding feasibility, effort, and business value, prioritize based on pre-defined parameters, and provide feedback to thestakeholders.
- You will work on Machine Learning projects, where you independently or as part of a project team
- Choose the right approach to solve the problem at hand.
- Familiarize yourself with domain knowledge of internal customers.
- Combine disjoint complicated datasets and prepare them for downstream processing.
- Build features based on your understanding of the domain in question.
- Train and/or deploy models using technologies such as (Databricks, Azure ML, LLMs, Azure Cognitive Services & Snowflake)
- Track and manage the overall solutions that have been deployed (ML Ops)
- You will collaborate with cross-functional teams to drive advanced analytics and digitalization.
Requirements
- You have a bachelor’s or master’s degree in a field where you demonstrated advanced analytical aptitude.
- You do have several years of relevant & significant experience with data engineering using SQL, pandas, Spark.
- You do have a sound understanding of the Machine Learning Process and are familiar with state-of-the-art libraries and tools.
- You are familiar with technologies and ML platforms like Databricks, MLflow, Azure ML and the Azure Cognitive Services, modern software development concepts, and have experience with code management platforms like Azure DevOps
- You do have experience visualizing rich data sets in Python and BI tools like Power BI, Qlik, or Tableau.
- You do have experience in using LLMs for the processing of unstructured data or as a coding companion that helps you be efficient in achieving your goals.
Nice to Have Skills
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