Michael Nelz - Senior ML Engineer | AI Engineer

Q: Where is Michael based?

Michael is based in Eichenau, Germany and can operate in on-site , hybrid , and remote work models.

Q: What languages does Michael speak?

Michael speaks the following languages: German (Native), English (Advanced) .

Q: How many years of experience does Michael have?

Michael has at least 8 years of experience. During this time, Michael has worked in at least 9 different roles and for 7 different companies . The average length of individual experience is 1 year and 7 months . Note that Michael may not have shared all experience and actually has more experience.

Q: What is Michael's latest experience?

Michael's most recent position is Senior ML Engineer, AI Engineer at Lanxess AG .

Q: What companies has Michael worked for in recent years?

In recent years, Michael has worked for Lanxess AG , Farie AG , Nelo Intelligence , Capgemini , and Freelancer .

Q: Which industries is Michael most experienced in?

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 .

Q: Which business areas is Michael most experienced in?

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 .

Q: Which industries has Michael worked in recently?

Michael has recently worked in industries like Manufacturing , Professional Services , and Information Technology .

Q: Which business areas has Michael worked in recently?

Michael has recently worked in business areas like Business Intelligence , Information Technology , and Product Development .

Recommended expert

Eichenau, Germany

Check rate

Experience

Jan 2026 - Jun 2026

6 months

Remote

Senior ML Engineer, AI Engineer

Lanxess AG

Deployment and scaling of existing ML initiatives, including demand and cash flow forecasts.
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.

Jun 2025 - Dec 2025

7 months

Senior ML Engineer, AI Engineer

Lanxess AG

Implementation of a monthly cash flow forecast based on economic factors
Results match 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

Sep 2024 - May 2025

9 months

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 registry, and CI/CD via Docker and Kubernetes
Automatic retraining for the AI product

Jun 2024 - Aug 2024

3 months

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 VertexAI

Mar 2024 - Jun 2024

4 months

Data Science Consultant

Nelo Intelligence

Implementation of a scalable, probabilistic, and highly reliable cash flow forecasting system to support strategic financial planning
Use of Bayesian modeling with Pyro, automated MLOps processes, and model explanations with Generative AI for accurate and uncertainty-aware forecasts
Deployment via Azure or AWS
Tech stack: Python, Git, AWS SageMaker, AWS S3, AWS CloudWatch

Jan 2023 - Dec 2023

1 year

Data Science Component Lead for Predictive Maintenance

Nelo Intelligence

Leading a team of 5 data scientists in a Scrum setup 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

Oct 2022 - Aug 2023

11 months

Senior Data Scientist

Capgemini

Development of a Generative AI app (Boardgame Copilot) for Android to help with board game rules and instructions
Tech stack: Azure OpenAI, RAG, Langchain, Langsmith, Python, REST API, Java

Oct 2022 - Aug 2023

11 months

Data Science Professional

Freelancer

Development of various Generative AI showcases such as Youtube-RAG and the Boardgame Copilot app
Tech stack: Azure OpenAI, Langchain, Langsmith, Python, Java

Mar 2021 - Dec 2022

1 year 10 months

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 present them visually
Introduced unit and end-to-end tests into the data science codebase
Tech stack: Python, Azure Synapse, CI/CD pipelines, Docker, Kubernetes

Jan 2021 - Sep 2022

1 year 9 months

Senior Data Scientist

Capgemini

RAG showcase Youtube-RAG to answer questions about YouTube videos based on GPT-3 and Langchain
Tech stack: Python, Generative AI, RAG, GPT, Langchain, Langsmith

Jun 2020 - Feb 2021

9 months

Data Science Consultant

Nelo Intelligence

Developed a risk management system for the wood industry with prompt engineering and agentic AI
Tech stack: Python, Azure Synapse, Plotly Dash, Docker

Jan 2020 - Jun 2020

6 months

Data Science Consultant

Nelo Intelligence

Forecasted air pollution and optimized car price predictions in the public sector
Tech stack: Python, web crawler, GCP SQL, GCP Vertex AI, LLM, GPT-4o, LangChain, Docker

Jun 2019 - Dec 2020

1 year 7 months

Data Scientist

Braincourt (Part of Capgemini)

Internal project for tracking and analyzing the customer journey across 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

Jan 2018 - Dec 2019

2 years

Data Science Consultant

Nelo Intelligence

Developed a price estimator for the self-settlement of insured damages based on LLMs and GCP Vertex AI
Proof of concept for a car suggestion chatbot
Tech stack: Python, GCP SQL, GCP IAM, GPT-4o, LangChain, Docker

Jan 2018 - May 2019

1 year 5 months

Junior Consultant Data Science

Spectrum AG

AWS showcase for modeling the self-settlement process of insured customers and developing a price estimator based on web and portfolio 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.

Information Technology

Manufacturing

Professional Services

Chemical

Insurance

Government and Administration

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Business Intelligence, Information Technology, Product Development, Marketing, Finance, and Supply Chain Management.

Business Intelligence

Information Technology

Product Development

Marketing

Finance

Supply Chain Management

Summary

Driven by Business - Powered by Tech! Business goals and ideas come first – technology makes them tangible and actionable.

As an experienced ML engineer, I bring your ML projects into production end-to-end. 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 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)
MLOps 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)
Mlops 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 Stores, Azure Sql, Azure Machine Learning, Azure Data Factory, Azure Openai, Azure Foundry, Azure Cli, Grafana
Aws Stack: Amazon Sagemaker, S3, Cloudwatch, Iam
Gcp: Vertexai, Sql, Iam, Vms
Documentation: Latex, Markdown, Swagger, Draw.Io
Databricks, Hadoop, Hdfs, Apache Hive, Apache Zeppelin
Knime, Dataiku, Tableau, Board, Powerbi
R (Scripting, Markdown, Oop (S3, S4)): Dplyr, Ggplot2, Lattice, Leaflet, Stringr, Plotly, Shiny, Tidyr, Mlr3, Tensorflow, Caret
Sql

Languages

German

Native

English

Advanced

Education

Oct 2013 - Dec 2017

Ludwig-Maximilians-University, Munich

Master of Science in Statistics with focus on economics and social sciences · Statistics · Munich, Germany

Oct 2009 - Mar 2013

Ludwig-Maximilians-University, Munich

Bachelor in Statistics with specialization in Computer Science · Statistics · Munich, Germany

Certifications & licenses

Azure AI Fundamentals

Azure Data-Science Associate

Azure Fundamentals

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%

Product Owner Certified By Bg

Scrum Master Certified By Bg

Statistics

Experience

Total positions 15

Experience in Information Technology 5.5 y

Avg length 11 m

Longest experience 1 y 11 m

Expertise

Recent roles Senior ML Engineer, AI Engineer, Senior ML Engineer, Data Science Consultant

Main industries Information Technology, Manufacturing, Professional Services

Main business areas Business Intelligence, Information Technology, Product Development

Qualifications

Highest degree Master

Certifications earned 12

Profile

Created

March 2026

Last Update

July 2026

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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 9 different roles and for 7 different companies. The average length of individual experience is 1 year and 7 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 ML Engineer, AI Engineer, Senior ML Engineer, Data Science Consultant.

Michael's most recent position is Senior ML Engineer, AI Engineer at Lanxess AG.

In recent years, Michael has worked for Lanxess AG, Farie AG, Nelo Intelligence, Capgemini, and Freelancer.

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 will be available full-time from September 2026.

Michael's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.

To hire Michael, click the Meet button on the profile to request a meeting and discuss your project needs.