ML & Data Engineer (m/f/d)

Key Skills

Azure, Big Data Technology, Data Manipulation, DevOps, Effective communication skills, English Proficiency, Machine learning techniques, MLflow, Pandas, PowerBI, PySpark, Python Programming, Qlik Sense, QlikView, Scikit-learn, seaborn, Spark Core, SQL, XGBoost

Job Description

ML & Data Engineer (m/f/d)

Location: Poland

We at Siemens Healthineers are committed to helping healthcare providers globally to succeed in today’s dynamic environment. We are inspired to transform the way things are done – because we want what is best for our people, our customers and ultimately the health of mankind.

While we invest in engineering excellence – leading-edge medical technologies and services, we don’t stop there. We also deeply invest on our 68 000 people with the hearts of pioneers, highly committed and connected in this industry. And as we strive to shape the future of healthcare, our overall success will depend on our ability to continuously reinvent ourselves.

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

Qualification & 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 are familiar with various AI/ML modeling concepts such as Data cleaning, EDA, Model selection, Model training, Hyperparameter tuning etc.
• Ideally, you have deployed and managed models throughout their lifecycle, retiring them when needed and checking on their performance
• 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)

• You do have significant relevant experience when it comes to Data & and Feature Engineering using tools such as

o SQL

o Pyspak/Spark

o Pandas/and other python data manipulation tools

• You have knowledge in relevant Machine Learning libraries including but not limited to

o Scikit Learn

o XGboost

o Light GBM and others

o Ideally, you MLflow for tracking experiments and deploying models

• You have experience in usage and configuration of cloud technologies on application and infrastructural level

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

We offer:

• Exciting work in international corporation
• We are flexible regarding type of contract + offer benefit package
• You can work remotely/hybrid/in one of our local offices (we are looking for candidates located in Poland or willing to relocate)
• We provide necessary tools

If you are interested use the “Apply” button.

Our culture:

At Siemens Healthineers, we take into account different perspectives, are open to dialogue and challenge conventions. Change is an integral part of our work. We strive to be a leader of change in our industry, not just to respond to them. We invite you to take on new challenges with us, test your ideas and celebrate successes.

We highly value diversity, inclusion and equal opportunities, so we warmly invite everyone, regardless of their gender identity, to apply for this position. We also encourage people with disabilities to apply.