Tech Lead AI Feature Development for Cloud Based Industrial AI Applications (f/m/div.)
Tasks
- Build reusable ML libraries and reference implementations
- Coach machine learning best practices
- Conduct design reviews and code reviews
- Create delivery plans with software engineering
- Define technical strategy for time series machine learning
- Deliver production grade AI features
- Design AI feature pipelines
- Establish ML development standards
- Lead AI feature development
- Manage stakeholder communication
- Mentor machine learning team
- Translate user stories into technical work packages
Perks/Benefits
Skills/Tech-stack
AWS | Anomaly Detection | Azure Machine Learning | CI/CD | Classification | Cloud platform | Concept drift | Concept drift detection | Databricks | Deep learning | Drift Detection | Explainable AI | Google Cloud | Google Cloud Platform | LightGBM | MLOps | Machine Learning | PyTorch | Python | Scikit-learn | Series analysis | Software testing | TensorFlow | Time Series | Time Series Analysis | XGBoost
Education
Roles
Engineer | Lead | Learning Engineer | Machine Learning Engineer | Tech Lead
Regions
Countries
States
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