You will get a MLOps workflow in Microsoft Azure with Azure-ML
Project details
Starting with a new technology might be a bit overwhelming in the beginning. With this project you get the tools at hand to bring your script to be tracked in Azure-ML.
And if you want to do the next step, the Pipeline creation including the schedule might be right for you.
And if you want to do the next step, the Pipeline creation including the schedule might be right for you.
AI Development Type
Deep Learning, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Azure Machine Learning, MLflowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$5
|
Standard
$400
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
About Michael
Expert-Vetted ML Engineer | AI Engineer | Azure
Eichenau, Germany - 12:08 am local time
As Senior Data Scientist, I am experienced in optimizing Machine-Learning and Deep-Learning-Models, Management of Data-Science-Teams and building MLOps-infrastructures in Azure.
"Business leads, tech advances" - the idea that prioritizing value for the customer's business is paramount, and the technology, use cases and even packages to use must align with the business to realize real business value. From driving innovation through ideation workshops and educating clients on Machine Learning in smaller business environments, to contributing to large-scale enterprise projects with over 50 team members, leveraging state-of-the-art coding and agile practices, my impact has been instrumental in elevating project success across the board.
Continuous Improvement is key, as well in agile software-development when creating a software product and in Data-Science when staying up-to-date with the fastly evolving environment of Machine Learning and AI.
Professional skills:
- Management of Data-Science-Teams (1 + years)
- Machine Learning, Deep Learning, Computer Vision with Python (6 + years and 10+ including studies)
- GenAI, NLP with Python (2 + years)
- Agile software development (6 + years)
- ML-Ops on Azure, AWS and GCP (4 + years)
- Teaching Data-Science (Coding Workshops, Courses) (4 + years)
Supporting Skills:
- Software-Development with Java, C#, PHP, Bash-Scripting (6 + years, 10+ including studies)
- Unit- and E2E-testing (3 + years)
Certifications:
- Azure Data Science Associate
- Azure Fundamentals, Azure AI Fundamentals
- Databricks Generative AI Fundamentals, Databricks for Machine Learning
- Generative AI for Everyone by DeepLearning.AI and Amazon Web Services
- Generative AI with LLMs by DeepLearning.AI and Amazon Web Services
- KNIME Certified: L1, L2, L3
- Scrum Master Certified by bg, Product Owner Certified by bg
- DataIku DSS Certified
- LinkedIn Python Badge Top 15%
Steps for completing your project
After purchasing the project, send requirements so Michael can start the project.
Delivery time starts when Michael receives requirements from you.
Michael works on your project following the steps below.
Revisions may occur after the delivery date.
Script works locally
First I need to check whether the script works locally after setting up the environment.
Bring script to Azure-ML
Now I will bring the script to azure-ml and create a readme.md for you to know how to use it. If you're using vscode or pycharm it can also be a script you are using as runner