About the role
You build, evaluate and deploy machine learning models that run inside real products.
Key Responsibilities
- Develop and evaluate machine learning models for client problems
- Build data preparation and feature pipelines
- Deploy models as services and monitor how they perform
- Work with engineers to integrate models into applications
- Document experiments, results and limitations
Required Skills
- Strong Python and experience with scikit-learn, PyTorch or TensorFlow
- Understanding of model evaluation, validation and bias
- Experience with SQL, Git and a cloud platform
- Ability to explain results clearly
Nice to Have
- Experience with Docker and model serving
- Knowledge of MLOps tools
Tools and technologies: Python; scikit-learn / PyTorch / TensorFlow; SQL; Docker (nice to have)
How to prepare
- Be ready to walk through a model you shipped, including how you evaluated it
- Revise validation, overfitting and bias
You build, evaluate and deploy machine learning models that run inside real products.
What you will do
- Develop and evaluate machine learning models for client problems
- Build data preparation and feature pipelines
- Deploy models as services and monitor how they perform
- Work with engineers to integrate models into applications
- Document experiments, results and limitations
What we are looking for
- Strong Python and experience with scikit-learn, PyTorch or TensorFlow
- Understanding of model evaluation, validation and bias
- Experience with SQL, Git and a cloud platform
- Ability to explain results clearly
Nice to have
- Experience with Docker and model serving
- Knowledge of MLOps tools
Tools and technologies
- Python
- scikit-learn / PyTorch / TensorFlow
- SQL
- Docker (nice to have)
How to prepare
- Be ready to walk through a model you shipped, including how you evaluated it
- Revise validation, overfitting and bias
Apply for this role
Fill in the form and attach your resume. It goes straight to the Soch Tech team by email, and we reply to every application.
Questions?
Want to ask before you apply?
Email us and we will point you in the right direction.