Machine Learning

With joy and pioneering spirit, we at Imnoo strive to use the opportunities of automation Become a part of our team and bring in your talents and know-how: together we shape the future of our customers.

We are looking for a Machine Learning - Python/Cloud Services Wizard who is capable to help us develop and roll out new/existing services.

Clear path for career advancement within the company

**Your Playground**
- Development of efficient feature extraction and data-processing pipelines for managing CAD, 2D and unfiltered/filtered batch of data for Machine Learning
- Design/Engineer/Take responsibility for cloud services, APIs, automated model training/deployment, build tools
- Take end-to-end responsibility for services: from POC to production ready.
- Get in-depth knowledge of interconnected Cloud/Data/Computer Vision/ML services across multiple languages and platforms
- Further development and maintenance of Optimization/Machine Learning services
- Further development and maintenance of 2D/3D/CAD data analysis

Lead the development of 2D drawing/computer vision problem

**Our Offer**
- Fully flexible work-style
- Snacks of your choosing
- Opportunities for professional development and certification support
- Learn/Use a broad stack of machine learning/data analysis tools
- Your ideas and opinion are expected and highly appreciated
- Developing your hard and soft skills within a diverse team on the job
- Working in a dynamic start-up environment with a dedicated young team
- 25 days vacation
- Open amount of home office / offsite work
- Great work-life balance with regular social team events

**Nice to have**:

- Expertise in full-stack data science tools including data wrangling/munging, iterative and batch analysis
- Mathematician/statistician educations with strong dedication and experience in applied technologies
- Experience in creation of your own business/apps/ventures
- Experience in Frontend (Angular) / Backend development
- Full-Stack experience
- Experience with well-known ML/DL libraries: sklearn, PyTorch, Lightning
- Experience with models industrialization tools: quantization, ONNX, Docker,...
- Experience with MLOps practices and Pipeline development
- Efficient processing, clustering, filtering, indexing, querying of large datasets
- Automated model training and deployment
- Strategic data analysis and research: statistical tests, propagation of error, Identifying clusters and outliers
- Experience in Cloud:

- AWS
- Azure Cloud Services
- SQL / NoSQL Skills
- Data Structures understanding
- C#, C++ any other compiled languages