Senior ML Engineer | Cloud-scale AI & MLOps in regulierten Enterprise-Umgebungen & Supply Chain
Aktualisiert am 03.02.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 01.02.2026
Verfügbar zu: 40%
davon vor Ort: 20%
Softwarearchitektur
Cloud Engineer
Machine Learning
Datawarehouse
SQL
Python
R
Fullstack
Webapplication
Kubernetes
Docker
MLOps
DevOps
Prozessautomatisierung
Prozessoptimierung
Beratung
Data Scientist
PostgreSQL
German
native
Polish
native
English
fluent

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

4 Monate
2025-10 - heute

Freelance ML Engineer/ Co-Founder cm-opti

ML Engineer/ Co-Founder AWS Python R ...
ML Engineer/ Co-Founder
Implementation and Consulting of AI/ML Use-Cases and Systems covering the complete value chain from business understanding to production.
AWS Python R C++ Docker Kubernetes Linux IT-Security Netzwerk/Sicherheit Vue.js Machine Learning Künstliche Intelligenz RabbitMQ
cm-opti, Gorzow (PL)
3 Jahre
2022-10 - 2025-09

Development and production implementation of AI/ML use cases

Data Scientist/ML Engineer AWS Python R ...
Data Scientist/ML Engineer
Development and production implementation of AI/ML use cases (Computer Vision, NLP). Key responsibilities included Architecture Design, Infrastructure as Code (IaC) in AWS and MLOps components integration into the Machine Learning Platform, Cloud Engineering with 10+ Use Case implementation designs brought to production, Implementation of an anonymization framework for unstructured data, development of in-house libraries, integration of RAG-systems via Bedrock and local LLMs in a virtual private cloud environment, implementation of production grade single Agent AI Use-Cases (NLP classification tasks), Configuration and connectivity configuration for a multi cloud environment via VPN and PrivateLink Connections
AWS Python R C++ Docker Kubernetes Linux IT-Security Netzwerk/Sicherheit Vue.js Machine Learning Künstliche Intelligenz SQL SQL-Datenbanken RabbitMQ
ROLAND Rechtsschutz, Köln
2 Jahre
2020-10 - 2022-09

Demand Analytics

Data Scientist R Python Julia ...
Data Scientist
Developed and deployed machine learning solutions for supply chain optimization and forecasting using R, Python, Prophet, and other algorithms for store supply optimization. This involved implementing in-house R/Python libraries, enhancing the internal MLOps platform, creating ML-pipelines with Docker/Docker Swarm, deploying apps via Shiny/Streamlit/Dash, and establishing SQL-based data cleaning procedures, integration of ETL pipelines in Teradata and implementation of a self-service data science service via shinyproxy, implementation of linear optimization algorithms
Docker Teradata AWS Linux
R Python Julia Linux SQL
OBI Deutschland GmbH, Wermelskirchen
10 Monate
2019-01 - 2019-10

Analytics Transportation & Logistics (Shipping Industry)

Working Student
Working Student
Administration and maintenance of a transport and logistics data analytics tool, coupled with industry sampling, benchmarking, and the preparation of topic-specific knowledge materials and analysis
Boston Consulting Group, Germany

Position

Position

  • ML-Engineer
  • Data Scientist
  • MLOps Engineer

Kompetenzen

Kompetenzen

Top-Skills

Softwarearchitektur Cloud Engineer Machine Learning Datawarehouse SQL Python R Fullstack Webapplication Kubernetes Docker MLOps DevOps Prozessautomatisierung Prozessoptimierung Beratung Data Scientist PostgreSQL

Produkte / Standards / Erfahrungen / Methoden

PROFILE
Co-Founder & CTO/ ML Engineer/ Data Scientist with over 5 years of experience in the full stack Machine Learning Operations, Dev-Ops (MLOps) lifecycle for AI systems. Specialized in designing and implementing production-grade Machine Learning and AI solutions, with proven success in Computer Vision and Natural Language Processing (NLP). Proficient in building and optimizing MLOps platforms, including implementing Infrastructure as Code (IaC) in AWS, creating ML pipelines (Docker/Docker Swarm), and developing custom libraries. Technical skills include: Machine Learning Algorithms, Deep Learning, Software Development, Data Science, Python, R, SQL, Cloud Computing, CI/CD Integration with Jenkins and Gitlab CI/CD.

OVERVIEW
  • Python
  • Bash
  • SQL 
  • C++
  • R
  • Web-Dev, MVP Vue, Flask
  • Traditional Machine Learning Algorithms (Supervised, unsupervised, diverse libraries)
  • Computer Vision (Object Detection, Segmentation), Pytorch and Tensorflow integration, Transfer Learning approach via Header modification, Resnet and Yolo implementations
  • Policy based (Reinforcement, Q-Learning, Gym)
  • Natural Language Processing (Transformer, LSTM, TFIDF)
  • Generative AI (LLMs)
  • Postgres/Mongo DB/AWS RDS
  • Docker
  • Sagemaker/MLFlow
  • Kubernetes (kubectl, minikube)
  • AWS (Lambda, EC2, VPC, S3, State-Machines, SQS, AMQP, ECS, EKS, Eventbridge, Route53, IAM and more)

Previous professional experience with relevant certifications - available upon request

Branchen

Branchen

Insurance/Versicherungen

Banken

Handel

Produktion

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

4 Monate
2025-10 - heute

Freelance ML Engineer/ Co-Founder cm-opti

ML Engineer/ Co-Founder AWS Python R ...
ML Engineer/ Co-Founder
Implementation and Consulting of AI/ML Use-Cases and Systems covering the complete value chain from business understanding to production.
AWS Python R C++ Docker Kubernetes Linux IT-Security Netzwerk/Sicherheit Vue.js Machine Learning Künstliche Intelligenz RabbitMQ
cm-opti, Gorzow (PL)
3 Jahre
2022-10 - 2025-09

Development and production implementation of AI/ML use cases

Data Scientist/ML Engineer AWS Python R ...
Data Scientist/ML Engineer
Development and production implementation of AI/ML use cases (Computer Vision, NLP). Key responsibilities included Architecture Design, Infrastructure as Code (IaC) in AWS and MLOps components integration into the Machine Learning Platform, Cloud Engineering with 10+ Use Case implementation designs brought to production, Implementation of an anonymization framework for unstructured data, development of in-house libraries, integration of RAG-systems via Bedrock and local LLMs in a virtual private cloud environment, implementation of production grade single Agent AI Use-Cases (NLP classification tasks), Configuration and connectivity configuration for a multi cloud environment via VPN and PrivateLink Connections
AWS Python R C++ Docker Kubernetes Linux IT-Security Netzwerk/Sicherheit Vue.js Machine Learning Künstliche Intelligenz SQL SQL-Datenbanken RabbitMQ
ROLAND Rechtsschutz, Köln
2 Jahre
2020-10 - 2022-09

Demand Analytics

Data Scientist R Python Julia ...
Data Scientist
Developed and deployed machine learning solutions for supply chain optimization and forecasting using R, Python, Prophet, and other algorithms for store supply optimization. This involved implementing in-house R/Python libraries, enhancing the internal MLOps platform, creating ML-pipelines with Docker/Docker Swarm, deploying apps via Shiny/Streamlit/Dash, and establishing SQL-based data cleaning procedures, integration of ETL pipelines in Teradata and implementation of a self-service data science service via shinyproxy, implementation of linear optimization algorithms
Docker Teradata AWS Linux
R Python Julia Linux SQL
OBI Deutschland GmbH, Wermelskirchen
10 Monate
2019-01 - 2019-10

Analytics Transportation & Logistics (Shipping Industry)

Working Student
Working Student
Administration and maintenance of a transport and logistics data analytics tool, coupled with industry sampling, benchmarking, and the preparation of topic-specific knowledge materials and analysis
Boston Consulting Group, Germany

Position

Position

  • ML-Engineer
  • Data Scientist
  • MLOps Engineer

Kompetenzen

Kompetenzen

Top-Skills

Softwarearchitektur Cloud Engineer Machine Learning Datawarehouse SQL Python R Fullstack Webapplication Kubernetes Docker MLOps DevOps Prozessautomatisierung Prozessoptimierung Beratung Data Scientist PostgreSQL

Produkte / Standards / Erfahrungen / Methoden

PROFILE
Co-Founder & CTO/ ML Engineer/ Data Scientist with over 5 years of experience in the full stack Machine Learning Operations, Dev-Ops (MLOps) lifecycle for AI systems. Specialized in designing and implementing production-grade Machine Learning and AI solutions, with proven success in Computer Vision and Natural Language Processing (NLP). Proficient in building and optimizing MLOps platforms, including implementing Infrastructure as Code (IaC) in AWS, creating ML pipelines (Docker/Docker Swarm), and developing custom libraries. Technical skills include: Machine Learning Algorithms, Deep Learning, Software Development, Data Science, Python, R, SQL, Cloud Computing, CI/CD Integration with Jenkins and Gitlab CI/CD.

OVERVIEW
  • Python
  • Bash
  • SQL 
  • C++
  • R
  • Web-Dev, MVP Vue, Flask
  • Traditional Machine Learning Algorithms (Supervised, unsupervised, diverse libraries)
  • Computer Vision (Object Detection, Segmentation), Pytorch and Tensorflow integration, Transfer Learning approach via Header modification, Resnet and Yolo implementations
  • Policy based (Reinforcement, Q-Learning, Gym)
  • Natural Language Processing (Transformer, LSTM, TFIDF)
  • Generative AI (LLMs)
  • Postgres/Mongo DB/AWS RDS
  • Docker
  • Sagemaker/MLFlow
  • Kubernetes (kubectl, minikube)
  • AWS (Lambda, EC2, VPC, S3, State-Machines, SQS, AMQP, ECS, EKS, Eventbridge, Route53, IAM and more)

Previous professional experience with relevant certifications - available upon request

Branchen

Branchen

Insurance/Versicherungen

Banken

Handel

Produktion

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