Senior Machine Learning Engineer
intive
full-time
Posted on:
Location Type: Remote
Location: Germany
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Job Level
About the role
- Designing, developing, and maintaining end-to-end machine learning solutions — from data ingestion and feature engineering to training, evaluation, and production deployment.
- Building scalable ML infrastructure and data pipelines to support real-time and batch inference at scale.
- Collaborating with product managers, data scientists, and software engineers to integrate ML models into customer-facing applications.
- Applying best practices in MLOps to ensure reliability, reproducibility, and monitoring of ML systems in production.
- Leveraging cloud platforms (primarily AWS) and IaC tools (e.g. Terraform) to deploy and manage ML infrastructure.
- Working with modern ML tooling such as feature stores, model registries, orchestration frameworks (e.g. Airflow), and vector databases.
- Exploring and applying advanced techniques including LLMs, embeddings, and recommendation systems to solve real-world business problems.
- Mentoring team members and contributing to the improvement of engineering and ML practices across the organization.
Requirements
- Proven experience working across the entire ML lifecycle: data pipelines, model training, and serving
- Strong programming skills in Python or Golang
- Hands-on experience with ML infrastructure components such as feature stores, model registries and vector databases (e.g. Weaviate, Pinecone)
- Experience with Model inference in real-time and batch settings
- Knowledge of Cloud platforms (especially AWS)
- Experience with Infrastructure as code tools like Terraform
- Knowledge of ML platforms like SageMaker, Orchestration frameworks (e.g. Airflow) and Big data systems (e.g. Databricks)
- Familiarity with LLMs, embedding-based retrieval, and recommendation systems is a plus
- Comfortable collaborating with cross-functional teams to ship ML-powered product features.
Benefits
- Performance Management - Regular discussions between employees and managers, held twice a year. You can shape your own career path based on your goals.
- Training & Mentorship - Learning and development are an important part of our corporate culture. We use a skill matrix, specialized training courses, and a buddy program to support this.
- Tech Hubs – You will become part of a community of colleagues who share your interests. There is room for internal exchange and access to the latest technologies.
- Culture & Connection – We promote connections within our teams, as well as across areas of responsibility and hierarchical levels. We ensure that everyone is noticed and feels connected to our mission and our colleagues. In addition, we organize regular team events (Summer Games, Christmas party, Oktoberfest, etc.) as well as weekly on-site meetings (Pasta Day, Weißwurst breakfast, etc.).
- Benefits - We offer numerous additional benefits. From public transportation, a childcare allowance, capital-forming benefits, the EGYM Wellpass, to the Job Bike.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdata ingestionfeature engineeringmodel trainingmodel servingMLOpsreal-time inferencebatch inferenceprogramming in Pythonprogramming in Golang
Soft skills
collaborationmentoringcommunication