Machine Learning Engineer (m/w/d)

CompuGroup Medical SE; Koblenz; Hybrid; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

A leading company in software solutions for healthcare seeks a Machine Learning Engineer to design and deploy machine learning models for AI services. You will work in a dynamic environment that fosters innovation and collaboration, aiming to enhance healthcare through advanced technologies. Join us in making a significant impact in the healthcare system of the future.

Leistungen

Mobile work flexibility

Attractive locations with equipped workplaces

Support for further development through an in-house academy

In-house canteen and fitness centre

Corporate benefits and job bike option

Qualifikationen

• Significant experience in machine learning model development including LLM and AI Agents.
• Proficiency in machine learning frameworks and programming skills in Python.
• Familiarity with cloud platforms (Azure, AWS, GCP).

Aufgaben

• Design, develop, and deploy machine learning models for core AI services.
• Work closely with data scientists and developers to integrate models.
• Enhance models for performance, accuracy, and scalability.

Kenntnisse

Machine Learning Model Development

Problem Solving

Collaboration

Ausbildung

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field

Tools

Langchain

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Jobbeschreibung

As a leading company in the field of software solutions for healthcare, we operate in 19 countries and employ over 9,000 dedicated staff members. You will work in a dynamic and innovative environment full of opportunities. With your commitment and passion, you have the chance to make a lasting difference. Together, we are shaping the healthcare system of the future. Become part of our mission and make a difference – for a world where knowledge saves lives!

Your contribution :

• Design, develop, and deploy machine learning models for our core AI services with a focus on RAG and AI Agents.

• Work closely with data scientists, backend developers, and other stakeholders to integrate models into our system.

• Enhance and fine-tune models for performance, accuracy, and scalability.

• Stay updated with the latest advancements in machine learning and apply them to improve our products.

• Ensure robust testing, validation, and monitoring of machine learning models to maintain high-quality performance.

What you bring along :

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

• Significant experience in machine learning model development and deployment, including LLM (Large Language Models) and AI Agents.

• Proficiency in machine learning frameworks and libraries (e.g., Langchain, TensorFlow, PyTorch, Scikit-learn) and strong programming skills in Python.

• Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and containerization technologies (e.g., Docker, Kubernetes).

• Strong problem-solving skills and ability to work in a collaborative environment.

What you can expect from us :

• Mobile work : Work flexibly on the move two days a week and on site three days a week.

• Attractive locations: In addition to fully equipped workplaces, regular events such as summer parties and Christmas parties await you at our locations.

• Development: Our in-house academy and our portfolio of external co-operation partners will support you in your further development.

• Health: Health is a valuable asset for us. Our in-house canteen offers a selection of tasty and healthy dishes every day and we welcome you to our fully equipped fitness centre for weekly courses (online & offline).

• More is always possible : The kindergarten on our CGM campus in Koblenz helps our employees to organise their working day even more flexibly. We also offer corporate benefits, the option of a job bike, a company pension scheme and much more.

Diversity is part of CGM! We look forward to receiving your application regardless of disability, gender, nationality, ethnic and social background, religion, age, sexual orientation and identity.

Convinced? Apply online now with your detailed application documents (including salary expectations and earliest possible starting date).