MLOps Engineer (m/w/d) - mainly remote
NEEA Connect GmbH — Straubing, DE
- Published on
About the Role
We’re hiring on behalf of an innovative Scale-Up that’s looking for a passionate MLOps Engineer to join their team. If you're excited about automating ML pipelines and building production-ready systems, this could be the perfect opportunity for you.
Location: Primarily remote, with the option to work from offices in Essen, Munich, Berlin, and/or Straubing
Start date: As soon as possible
Type of employment: Full-time
Responsibilities
- Design, build, and maintain scalable ML infrastructure for deployment and monitoring
- Automate the ML model lifecycle, including training, testing, deployment, and monitoring
- Develop CI/CD pipelines tailored for ML workflows
- Collaborate with data scientists and ML engineers to ensure seamless model integration into production
- Implement monitoring systems to track model performance and detect drift
- Optimize infrastructure for cost and performance
- Ensure robust data governance, security, and compliance throughout the ML pipeline
Qualifications
- Bachelor’s or Master’s in Computer Science, Engineering, or a related field
- 3 years of experience in MLops, DevOps, or similar roles
- Proficiency with MLops tools like MLflow, Kubeflow, or SageMaker
- Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP)
- Strong programming skills in Python, C++ or similar languages
- Solid understanding of CI/CD processes and infrastructure as code (e.g., Terraform, Ansible)
- Familiarity with monitoring tools like Prometheus or Grafana
- Excellent problem-solving and communication skills
- Fluent English skills; German is a plus
Preferred Skills
- Experience with feature stores and data versioning tools
- Knowledge of machine learning algorithms and frameworks
- Familiarity with data pipeline tools like Apache Airflow or Luigi
- Understanding of distributed systems and microservices architecture
- Experience with hybrid cloud environments and on-premises integration
- Strong expertise in networking and security for ML workflows
- Knowledge of compliance frameworks like GDPR or HIPAA.
Company Offer
- Become part of a successful scale-up and actively shape the company’s ongoing development
- A high level of responsibility and freedom for independent, creative work in a varied role
- 30 days of annual leave and flexible working style
- Continuous development opportunities through training and further education
- Company contribution to employee pension plan
- Discounted gym membership
- Company phone for private use
- Short communication channels and a constructive feedback culture.
We look forward to hearing from you if you're interested in this opportunity.