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First Name*

Last Name*

Email*

Phone Number*

Country*

Are you an employer or a jobseeker?*

Message

First Name*

Last Name*

Email*

Phone Number*

Country*

Are you an employer or a jobseeker?*

Message

First Name*

Last Name*

Email*

Phone Number*

Country*

Are you an employer or a jobseeker?*

Message

Job type: Permanent

Discipline: Automation

Location: Germany

Shape your future with the freedom to work where you thrive! Join our client with this remote position which will keep you challenged wherever you are.

Location: Flexible (Remote & Europe Based)

Employment Type: Full-Time

Applicants must hold a valid EU work permit and/or reside within Europe. Please note that only eligible candidates will be contacted.

About the Role:

On behalf of our innovative medtech client, an innovative technology client in the bioprocessing and advanced analytics space in their search for a Machine Learning / MLOps Engineer. This hands-on role focuses on deploying, optimizing, and scaling machine learning and hybrid models within a cloud native environment.You will work at the intersection of ML engineering, data pipeline development, and scalable infrastructure, enabling next generation digital modeling and decision-support solutions used in industrial and scientific settings.

Key Responsibilities

Deploy and optimize ML and hybrid models in production environments
Build secure, scalable data pipelines for batch and real?time processing
Implement cloud based and high performance ML infrastructure
Develop CI/CD pipelines and model monitoring for reliable deployments
Collaborate with scientific and engineering teams to integrate ML components
Explore advanced ML techniques (hybrid models, RL, XAI, etc.)
Document workflows and clearly communicate technical concept

Required Skills

Strong proficiency in Python and modern ML frameworks (TensorFlow, PyTorch, Scikit-learn, JAX).
Experience deploying and maintaining production ML models.
Solid understanding of MLOps, CI/CD pipelines, monitoring, and lifecycle management.
Experience building scalable data pipelines (Spark, Airflow, or similar).
Familiarity with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes).
Strong analytical problem-solving and communication skills.

Preferred

Experience with hybrid modeling, XAI, reinforcement learning, or transfer learning.
Background in distributed computing or HPC environments.
Experience designing end to end ML systems from data ingestion to deployment.
Certifications in relevant cloud platforms or Kubernetes.

Why Join?

Contribute to cutting edge ML and simulation technologies shaping next generation process innovation.
Collaborate with world-class scientists, engineers, and domain specialists.
Work in a dynamic, innovative environment with strong opportunities for professional growth.
Help scale impactful AI solutions used across research, development, and manufacturing settings.

If you are having difficulty in applying or if you have any questions, please contact Nur Ergiydiren at n. ergiydiren@proclinical.com.

If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page.

Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy.

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