Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Design and implement MLOps workflows for model training, validation, deployment, and monitoring.
- Arbeitgeber: Join the leading software provider in healthcare, dedicated to improving lives through accessible medical information.
- Mitarbeitervorteile: Enjoy flexible mobile work, health-focused amenities, and a supportive development environment.
- Warum dieser Job: Be part of a mission-driven team that values innovation and collaboration in healthcare technology.
- Gewünschte Qualifikationen: Bring experience in ML engineering, cloud platforms, and strong communication skills in German and English.
- Andere Informationen: Diversity is celebrated here; all backgrounds are encouraged to apply!
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Machine Learning Operations Engineer (m/f/d)
We are the leading provider of software in the healthcare sector. With our vision ‘No one should suffer or die just because some medical information is missing’ , we want to create a culture that makes a sustainable contribution to the future of our healthcare system. Our work serves the goal of improving healthcare by ensuring that the necessary information is available anytime and anywhere.
Your contribution:
- You design and implement MLOps workflows for model training, validation, deployment, and monitoring, adhering to industry best practices.
- By closely collaborating with data scientists and software engineers, you ensure seamless integration and continuous improvement of machine learning models.
- You establish and promote company-wide best practices and support business units in adopting them.
- Additionally, you develop and maintain infrastructure for scalable and reliable machine learning operations and support the lifecycle management of deployed ML applications.
- Furthermore, you optimize CI/CD workflows for ML projects, ensure the security and performance of pipelines, and continuously improve MLOps processes while mentoring junior team members and potentially transitioning into a leadership role.
What you bring along:
- Several years of experience in ML engineering or supporting data science in a commercial environment, including deploying ML models.
- Strong background in machine learning, data engineering or software development.
- Experience with cloud computing platforms (AWS, GCP, Azure), machine learning frameworks (TensorFlow, PyTorch), CI/CD pipelines and automation tools (Jenkins, GitLab, MLflow, Kubeflow), Python for ML and automation tasks, experience with containerization and orchestration tools (Docker, Kubernetes).
- Fluent in German and English.
- Communication skills, team spirit and hands-on mindset.
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).
#J-18808-Ljbffr
Machine Learning Operations Engineer (m/f/d) Arbeitgeber: Cgm Systemhaus
Kontaktperson:
Cgm Systemhaus HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Machine Learning Operations Engineer (m/f/d)
✨Tip Number 1
Familiarize yourself with the specific MLOps tools and frameworks mentioned in the job description, such as TensorFlow, PyTorch, Jenkins, and Kubernetes. Having hands-on experience or projects showcasing these technologies can set you apart during the interview process.
✨Tip Number 2
Highlight your collaborative skills by preparing examples of how you've worked closely with data scientists and software engineers in previous roles. This will demonstrate your ability to integrate seamlessly into our team-oriented culture.
✨Tip Number 3
Showcase your understanding of CI/CD workflows and how you've optimized them for machine learning projects. Be ready to discuss specific challenges you faced and how you overcame them, as this reflects your problem-solving abilities.
✨Tip Number 4
Since we value continuous improvement, think about ways you've contributed to enhancing MLOps processes in your past roles. Prepare to share these insights during your conversation with us, as it aligns with our commitment to best practices.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Operations Engineer (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Machine Learning Operations Engineer position. Highlight your relevant experience in ML engineering, data science, and software development in your application.
Tailor Your CV: Customize your CV to reflect your experience with MLOps workflows, cloud computing platforms, and machine learning frameworks. Emphasize your skills in Python, CI/CD pipelines, and any relevant tools like Docker and Kubernetes.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for improving healthcare through technology. Mention specific projects or experiences that demonstrate your ability to collaborate with data scientists and software engineers.
Include Salary Expectations: Be sure to include your salary expectations and earliest possible starting date in your application documents, as requested in the job description. This shows that you pay attention to details and are serious about the opportunity.
Wie du dich auf ein Vorstellungsgespräch bei Cgm Systemhaus vorbereitest
✨Understand MLOps Workflows
Make sure you have a solid grasp of MLOps workflows, including model training, validation, deployment, and monitoring. Be prepared to discuss how you've implemented these processes in previous roles and how you can contribute to the company's goals.
✨Showcase Your Technical Skills
Highlight your experience with cloud platforms like AWS, GCP, or Azure, as well as your proficiency in machine learning frameworks such as TensorFlow or PyTorch. Be ready to provide examples of projects where you've utilized CI/CD pipelines and automation tools.
✨Emphasize Collaboration
Since the role involves working closely with data scientists and software engineers, demonstrate your ability to collaborate effectively. Share experiences where teamwork led to successful project outcomes and how you can foster a culture of continuous improvement.
✨Prepare for Leadership Questions
As this position may lead to a mentorship or leadership role, be prepared to discuss your approach to mentoring junior team members. Think about how you can promote best practices across the company and support others in adopting them.
