Senior Machine Learning Engineer (mfd) in Berlin | momox SE

Berlin - Germany

Monthly Salary: Not Disclosed

Posted on: 27 days ago

Vacancies: 1 Vacancy

Job Summary

Your mission

Design and implement robust machine learning solutions for real-world applications at scale
Take algorithms and models from research to production ensuring reliability scalability and observability
Build and maintain ML pipelines using modern MLOps tools (e.g. Kubeflow Pipelines MLflow Weights & Biases Evidently AI)
Deploy and serve models using frameworks like FastAPI Docker and Kubernetes ensuring efficient retraining and monitoring
Collaborate cross-functionally with data scientists engineers and product managers to translate business needs into ML-driven solutions
Contribute to the evolution of momoxs ML system and advocate for best practices in model lifecycle management and continuous improvement

Our tech stack

Python: PyTorch FastAPI Scikit-learn HuggingFace LitServe vLLM
Cloud & Infrastructure: Docker Kubernetes GCP
CI/CD: Gitlab ArgoCD
Model orchestration: Kubeflow (Vertex AI pipelines)
Data: BigQuery Postgres Milvus FAISS FEAST
Monitoring: Grafana Evidently AI W&B Prometheus

Your profile

Masters or PhD in Computer Science Engineering Mathematics Statistics or a related field focused on Machine Learning
3-5 years of experience developing and deploying ML systems in production environments
Deep understanding of ML algorithms statistical modeling and deep learning techniques
Proficiency with PyTorch and at least one other modern ML framework such as JAX or TensorFlow
Solid experience with MLOps model orchestration and observability tools (e.g. Prometheus CI/CD MLflow)
Experience working with cloud platforms (GCP AWS or Azure)
Strong communication skills - you can clearly explain complex ML concepts to both technical and non-technical audiences
Fluency in English (German is a plus but not required)

Nice to have:

Hands-on experience with vision-language models reinforcement learning or recommender systems
Knowledge of distributed training and large-scale inference
Familiarity with multi-component pipelines (MCP) and emerging agentic workflows
Understanding of safe GenAI application design and evaluation
Experience using vector databases (e.g. Milvus Pinecone) for retrieval-augmented systems
Domain experience in pricing logistics or marketing ML applications

You can look forward to

Flexible working hours: We work according to a hybrid model that offers you maximum flexibility while also fostering important personal connections. Whether in our centrally located office or working remotely - you and your team decide together where and when you want to work. You can arrange your working hours flexibly. For personal interaction your team meets at least 20 days per quarter in the office as our team days are held in person.
Training: momox is only as good as you. Thats why you will find room and budget for your individual professional development with language classes internal training conferences (online) courses and more.
Company discounts:As a momoxian you can look forward to a monthly voucher for our momox Fashion online shop as well as medimops. Additionally you benefit from numerous company discounts from our partners.
Individual work environment:Design your ergonomic workspace just the way you like it with height-adjustable desks and the laptop of your choice (MacBook or ThinkPad). If things get a bit noisy in the office your Bose noise-cancelling headphones ensure uninterrupted focus. If needed we can also provide you with an ergonomic chair or additional monitors for your home office.
1/2 day off on your birthday: Celebrate your birthday with half a day of vacation! Come in later leave earlier or simply take an additional half day off to have your entire birthday free provided your birthday falls on a regular working day. Additionally you get half a day off on December 24th and 31st.
Office dogs:Our office dogs contribute to a relaxed work atmosphere and are always happy to receive some extra cuddles.
Sustainability: We love second-hand and incorporate our sustainable business idea into the office routine with simple methods like using eco-friendly supplies double-sided printing energy-saving modes on devices waste separation doing so we take responsibility and integrate sustainability into all our activities.
Team events:Having fun at work and celebrating our successes together are core to our values. Thats why we regularly come together at various events to connect get to know each other better and strengthen our team spirit.
Sport and fitness offers: During the week you have the opportunity to take part in various sports activities. Whether its online training massages or stretching at your desk theres something for everyone. You can also get a discounted membership for Urban Sports Club or Wellhub.
Reduced ticket for the public transport: Save real money with the Germany or Job Ticket for the Berlin S-Bahn.

Your missionDesign and implement robust machine learning solutions for real-world applications at scaleTake algorithms and models from research to production ensuring reliability scalability and observabilityBuild and maintain ML pipelines using modern MLOps tools (e.g. Kubeflow Pipelines MLflow Wei...

Your mission

Design and implement robust machine learning solutions for real-world applications at scale
Take algorithms and models from research to production ensuring reliability scalability and observability
Build and maintain ML pipelines using modern MLOps tools (e.g. Kubeflow Pipelines MLflow Weights & Biases Evidently AI)
Deploy and serve models using frameworks like FastAPI Docker and Kubernetes ensuring efficient retraining and monitoring
Collaborate cross-functionally with data scientists engineers and product managers to translate business needs into ML-driven solutions
Contribute to the evolution of momoxs ML system and advocate for best practices in model lifecycle management and continuous improvement

Our tech stack

Python: PyTorch FastAPI Scikit-learn HuggingFace LitServe vLLM
Cloud & Infrastructure: Docker Kubernetes GCP
CI/CD: Gitlab ArgoCD
Model orchestration: Kubeflow (Vertex AI pipelines)
Data: BigQuery Postgres Milvus FAISS FEAST
Monitoring: Grafana Evidently AI W&B Prometheus

Your profile

Masters or PhD in Computer Science Engineering Mathematics Statistics or a related field focused on Machine Learning
3-5 years of experience developing and deploying ML systems in production environments
Deep understanding of ML algorithms statistical modeling and deep learning techniques
Proficiency with PyTorch and at least one other modern ML framework such as JAX or TensorFlow
Solid experience with MLOps model orchestration and observability tools (e.g. Prometheus CI/CD MLflow)
Experience working with cloud platforms (GCP AWS or Azure)
Strong communication skills - you can clearly explain complex ML concepts to both technical and non-technical audiences
Fluency in English (German is a plus but not required)

Nice to have:

Hands-on experience with vision-language models reinforcement learning or recommender systems
Knowledge of distributed training and large-scale inference
Familiarity with multi-component pipelines (MCP) and emerging agentic workflows
Understanding of safe GenAI application design and evaluation
Experience using vector databases (e.g. Milvus Pinecone) for retrieval-augmented systems
Domain experience in pricing logistics or marketing ML applications

You can look forward to

Flexible working hours: We work according to a hybrid model that offers you maximum flexibility while also fostering important personal connections. Whether in our centrally located office or working remotely - you and your team decide together where and when you want to work. You can arrange your working hours flexibly. For personal interaction your team meets at least 20 days per quarter in the office as our team days are held in person.
Training: momox is only as good as you. Thats why you will find room and budget for your individual professional development with language classes internal training conferences (online) courses and more.
Company discounts:As a momoxian you can look forward to a monthly voucher for our momox Fashion online shop as well as medimops. Additionally you benefit from numerous company discounts from our partners.
Individual work environment:Design your ergonomic workspace just the way you like it with height-adjustable desks and the laptop of your choice (MacBook or ThinkPad). If things get a bit noisy in the office your Bose noise-cancelling headphones ensure uninterrupted focus. If needed we can also provide you with an ergonomic chair or additional monitors for your home office.
1/2 day off on your birthday: Celebrate your birthday with half a day of vacation! Come in later leave earlier or simply take an additional half day off to have your entire birthday free provided your birthday falls on a regular working day. Additionally you get half a day off on December 24th and 31st.
Office dogs:Our office dogs contribute to a relaxed work atmosphere and are always happy to receive some extra cuddles.
Sustainability: We love second-hand and incorporate our sustainable business idea into the office routine with simple methods like using eco-friendly supplies double-sided printing energy-saving modes on devices waste separation doing so we take responsibility and integrate sustainability into all our activities.
Team events:Having fun at work and celebrating our successes together are core to our values. Thats why we regularly come together at various events to connect get to know each other better and strengthen our team spirit.
Sport and fitness offers: During the week you have the opportunity to take part in various sports activities. Whether its online training massages or stretching at your desk theres something for everyone. You can also get a discounted membership for Urban Sports Club or Wellhub.
Reduced ticket for the public transport: Save real money with the Germany or Job Ticket for the Berlin S-Bahn.