Michael N.-Senior ML Engineer | AI Engineer | Problem Solver
Check rate
Experience
Senior AI Engineer | Forward Deployed Engineer
Tiefbau
- Development of an AI-powered project organization tool for a civil engineering company that intelligently links project, task, tender, schedule, and document data through a knowledge graph.
- Implementation of AI features for document analysis, information extraction, context-based assistance, and voice-based data capture based on Microsoft Azure AI, reducing administrative effort, making information available faster, and supporting project teams in decision-making.
- Tech stack: Python, React, TypeScript, FastAPI, Claude Code, Codex, Graphify, PostgreSQL, Microsoft Azure AI Foundry, Azure OpenAI, Azure AI Speech, Azure AI Document Intelligence, Microsoft Graph, Microsoft Entra ID, Docker, Git, CI/CD.
Senior ML Engineer, AI Engineer
Lanxess AG
- Deployment and scaling of existing ML initiatives, including demand and cash flow forecasting.
- Building robust monitoring with MLflow for data stability, model performance, and drift detection, as well as implementing additional ML use cases.
- Further development of an agentic AI chatbot for transparent and easy-to-understand model explanations.
Senior ML Engineer, AI Engineer
Lanxess AG
- Implementation of a monthly cash flow forecast based on economic factors
- Results reach the accuracy of manual forecasts and are used for decision-making and time savings
- Deployment via Azure or AWS
- Tech stack: Python, Git, Pyro, Azure
Senior ML Engineer
Lanxess AG
- Hands-on implementation of end-to-end workflows for accurate prediction of demand patterns and behavior for inventory optimization
- MLOps workflows with Azure ML, model registration, and CI/CD via Docker and Kubernetes
- Automatic retraining for the AI product
Senior ML Engineer
Farie AG
- Development of a model to forecast distribution contributions for Farie AG using scalable data science techniques
- Tech stack: Python, GCP Vertex AI
Data Science Consultant
Nelo Intelligence
- Implemented a scalable, probabilistic, and highly reliable cashflow forecasting system to support strategic financial planning
- Used Bayesian modeling with Pyro, automated MLOps processes, and model explanations with Generative AI for accurate forecasts that are aware of uncertainty
- Deployment via Azure and AWS
- Tech stack: Python, Git, AWS SageMaker, AWS S3, AWS CloudWatch
Data Science Component Lead for Predictive Maintenance
Nelo Intelligence
- Led a team of 5 data scientists in a Scrum environment for a product to predict maintenance intervals for high-temperature furnaces
- Code reviews and pair programming, interviews with applicants
- Tech stack: Python, Pyro, Azure Synapse, Azure OpenAI, LLM, Prompt Engineering, Langchain, Agentic AI, Plotly Dash, Docker, FastAPI, Git
Senior Data Scientist
Capgemini
- Developed a Generative AI app (Boardgame Copilot) for Android to support with board game rules and instructions
- Tech stack: Azure OpenAI, RAG, Langchain, Langsmith, Python, Rest API, Java
Data Science Professional
Freelancer
- Developed various Generative AI showcases such as Youtube-RAG and Boardgame Copilot app
- Tech stack: Azure OpenAI, Langchain, Langsmith, Python, Java
Senior Data Scientist for Predictive Maintenance
Nelo Intelligence
- Implemented machine learning features for binary demand forecasting and regression to estimate demand level
- Used LLMs and Azure OpenAI for sentiment analysis and qualitative insights
- Introduced GenAI agent frameworks to explain prediction results and create visual outputs
- Introduced unit and end-to-end tests into the data science codebase
- Tech stack: Python, Azure Synapse, CI/CD pipelines, Docker, Kubernetes
Senior Data Scientist
Capgemini
- RAG showcase: YouTube RAG for answering questions about YouTube videos based on GPT-3 and Langchain
- Tech stack: Python, Generative AI, RAG, GPT, Langchain, Langsmith
Data Science Consultant
Nelo Intelligence
- Development of a risk management system for the timber industry with prompt engineering and agentic AI
- Tech stack: Python, Azure Synapse, Plotly-Dash, Docker
Data Science Consultant
Nelo Intelligence
- Forecasting air pollution and optimizing car price predictions in the public sector
- Tech stack: Python, web crawler, GCP SQL, GCP VertexAI, LLM, GPT-4o, Langchain, Docker
Data Scientist
Braincourt (Part of Capgemini)
- Internal project for tracking analysis of the customer journey via Google Cloud and preparing insights for the marketing team using a C# plugin for Excel
- Tech stack: Google Cloud, Google Analytics, C#, Python, Kubernetes, Docker
Data Science Consultant
Nelo Intelligence
- Development of a price estimator for self-settlement of insured damages based on LLMs and GCP VertexAI
- Proof of concept for a car suggestion chatbot
- Tech stack: Python, GCP SQL, GCP IAM, GPT-4o, Langchain, Docker
Junior Consultant Data Science
Spectrum AG
- AWS showcase for modeling the self-regulation process of policyholders and developing a price estimator based on web and customer data
- Tech stack: AWS SageMaker, Python, Kubernetes, Docker
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Manufacturing, Professional Services, Chemical, Insurance, and Government and Administration.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Business Intelligence, Product Development, Marketing, Finance, and Supply Chain Management.
Summary
Driven by Business - Powered by Tech! Business goals and ideas come first – technology makes them tangible and ready to use.
As an experienced ML Engineer, I take ML projects end-to-end into production. Starting with data integration, effective transformation with Python and PySpark, model optimization with Scikit-Learn, PyTorch and Pyro, deployment via IaC, Docker and Kubernetes, and monitoring the results via MLOps tools such as Databricks MLFlow.
In addition, I have already gained customer-driven experience in leading data science teams and building knowledge around ML and AI.
Expert skills (8+ years of professional experience):
- Data Analysis, Machine Learning with Python (8+ years)
- Deep Learning, Computer Vision with Python (8+ years)
- Prompt Engineering, RAG Implementation and Agentic AI with Python (4+ years)
- Agile Software Development (8+ years)
- ML-Ops and data pipelines in cloud environments (6+ years)
- Management of data science teams (4+ years)
- Knowledge Sharing (coding workshops, courses) (7+ years)
Supporting skills:
- Unit and E2E testing (6+ years)
- Docker and Kubernetes (6+ years)
Skills
Management Of Data Science Teams (4+ Years)
Data Analysis, Machine Learning With Python (10+ Years)
Deep Learning, Computer Vision With Python (8+ Years)
Prompt Engineering And Agentic Ai With Python (4+ Years)
Agile Software Development (8+ Years)
Ml-Ops And Data Pipelines In Azure (6+ Years)
Knowledge Sharing (Coding Workshops, Courses) (7+ Years)
Software Development: Python, Java, C#, Html, Php, Javascript, Bash Scripting (10+ Years)
Unit And E2e Testing (6+ Years)
Python (Oop, Scripting, Jupyter Notebooks): Azure-Sdk, Fastapi, Flask, Keras, Langchain, Mlflow, Numpy, Openai, Opencv-Python, Pandas, Pep8, Pyspark, Pytest, Requests, Sagemaker, Setuptools, Scikit-Learn, Scipy, Statsmodels, Tensorflow
Generative Ai: Prompt Engineering, Langchain, Langsmith, Llms, Agents
Deployment: Gnu Make, Git, Github, Kubernetes (Kubectl), Kubeflow, Docker, Bash/Powershell, Postman, Helm Charts, Vms, Cuda, Cudnn
Microsoft Azure Stack: Ci/Cd Pipelines (Yaml + Jenkins), Azure Devops, Azure Blob Storage, Azure Sql, Azure Machine Learning, Azure Data Factory, Azure Openai, Azure Foundry, Azure Cli, Grafana
Aws Stack: Amazon Sagemaker, S3, Cloudwatch, Iam
Gcp: Vertex Ai, Sql, Iam, Vms
Documentation: Latex, Markdown, Swagger, Draw.Io
Databricks, Hadoop, Hdfs, Apache Hive, Apache Zeppelin
Knime, Dataiku, Tableau, Board, Power Bi
R (Scripting, Markdown, Oop (S3, S4)): Dplyr, Ggplot2, Lattice, Leaflet, Stringr, Plotly, Shiny, Tidyr, Mlr3, Tensorflow, Caret
Sql
Languages
Education
Ludwig-Maximilians-University, Munich
Master of Science in Statistics with focus on economics and social sciences · Statistics · Munich, Germany
Ludwig-Maximilians-University, Munich
Bachelor in Statistics with specialization in Computer Science · Statistics · Munich, Germany
Certifications & licenses
Azure Data-Science Associate
DataIku DSS Certified
Databricks For Machine Learning
Databricks Generative AI Fundamentals
Generative AI For Everyone By DeepLearning.AI And AWS
Generative AI With LLMs By DeepLearning.AI And AWS
KNIME Certified: L1, L2, L3
LinkedIn Python Badge Top 15%
Statistics
Experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Michael is based in Eichenau, Germany and can operate in on-site, hybrid, and remote work models.
Michael speaks the following languages: German (Native), English (Advanced).
Michael has at least 8 years of experience. During this time, Michael has worked in at least 10 different roles and for 8 different companies. The average length of individual experience is 1 year and 6 months. Note that Michael may not have shared all experience and actually has more experience.
Based on recent experience, Michael would be well-suited for roles such as: Senior AI Engineer | Forward Deployed Engineer, Senior ML Engineer, AI Engineer, Senior ML Engineer.
Michael's most recent position is Senior AI Engineer | Forward Deployed Engineer at Tiefbau.
In recent years, Michael has worked for Tiefbau, Lanxess AG, Farie AG, Nelo Intelligence, and Capgemini.
Michael is most experienced in industries like Information Technology, Manufacturing, and Professional Services. Michael also has some experience in Insurance, Chemical, and Government and Administration.
Michael is most experienced in business areas like Business Intelligence, Information Technology, and Product Development. Michael also has some experience in Marketing, Finance, and Supply Chain Management.
Michael has recently worked in industries like Manufacturing, Professional Services, and Information Technology.
Michael has recently worked in business areas like Business Intelligence, Information Technology, and Product Development.
Michael holds a Master in Statistics from Ludwig-Maximilians-University, Munich and a Bachelor in Statistics from Ludwig-Maximilians-University, Munich.
Michael has 12 certificates. Among them, these include: Azure AI Fundamentals, Azure Data-Science Associate, and Azure Fundamentals.
Michael is immediately available full-time for suitable projects.
Daily rate distribution
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Average rates for similar positions
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The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 10 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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