ML & Data Engineer

Key Skills

Aartificial intelligence, Azure, Big Data Technology, Cloud computing, Data Manipulation, Data Visualization, DevOps, Effective communication skills, English Proficiency, Machine learning techniques, MLflow, Pandas, PowerBI, PySpark, Python Programming, Qlik Sense, Scikit-learn, seaborn, SQL, XGBoost

Job Description

The AI Service is a central service within Siemens Healthineers that delivers Machine Learning projects to internal customers. We are looking to expand the project team with a somebody who can – both in a team but also individually – deliver different parts of Machine Learning projects, including but not limited to Data Engineering and Machine Learning tasks.

Your tasks and responsibilities:

• You will be a contact point for assessing ML project feasibility, providing feedback about feasibility and effort estimation
• You build up know how in the ML project domain, enabling you to build meaningful information products including data / feature sets up to final visualizations that deliver model output.
• You visualize and analyze data sets
• You train and interpret ML models
• You potentially create dashboards delivering ML model output to the end customer or integrate model predictions in other downstream processes

Your qualifications and experience:

• You have a bachelor’s or master’s degree in a discipline that helps you carry out the above tasks
• You are familiar with Big Data and Data Engineering operations and concepts using Spark, Pyspark, RDDs Spark data frames etc.
• You do have significant relevant experience when it comes to Data & and Feature Engineering using tools such as
• SQL
• Pyspak/Spark
• Pandas/and other python data manipulation tools
• You are familiar with various AI/ML modeling concepts such as Data cleaning, EDA, Model selection, Model training, Hyperparameter tuning etc.
• You have knowledge in relevant Machine Learning libraries including but not limited to
• Scikit Learn
• XGboost
• Light GBM and others
• Ideally, you MLflow for tracking experiments and deploying models
• Ideally, you have deployed and managed models throughout their lifecycle, retiring them when needed and checking on their performance
• You have experience in usage and configuration of cloud technologies on application and infrastructural level
• You are familiar with Azure DevOps or similar Code/Service-management platforms
• Ideally, you are familiar with Data Visualization tools (e.g., Power BI or Qlik Sense, Seaborn)

Your attributes and skills:

• You are fluent in English and communicate effectively
• You work autonomously, reliably and liaise with our team members to understand the requirements and demands to be implemented
• You do have the required analytical aptitude

Basic wage component (gross) and other rewards: starting from 2600 EUR brutto /month + VAR*

*We are required by law to disclose basic wage component (minimum salary) for the advertised positions. We carefully consider your professional qualifications and experience in our compensation package and/or when offering you other positions.

Our goal is to pay our employee's fairly, with regard to the market situation and we are ready to welcome high-quality candidates in our team.

What do we offer:

• 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, …)