AI/ML lead
Tasks
- Build predictive models
- Communicate model performance to clients
- Create model pipelines
- Deploy ML models to production
- Design agentic AI initiatives
- Develop AI/ML roadmap
- Develop NLP models for conversational AI
- Ensure model monitoring and transparency
- Implement data versioning and MLflow practices
- Improve tools and methodologies
- Lead data science projects
- Perform classification and clustering
- Validate and interpret model results
Perks/Benefits
- Collaborative team
- Direct customer feedback
- Flat hierarchies
- Flexible work environment
- Free snacks soda and coffee
- Team outings
Skills/Tech-stack
AWS | Agentic AI | Azure | Classification | Clustering | Conversational AI | Data Versioning | Databricks | Google Cloud | Language Processing | MLflow | Machine Learning | Model Interpretability | Model Validation | NLP Text Classification | Natural Language | Natural Language Processing | Predictive Modeling | PyTorch | Python | Sentiment Analysis | Series analysis | Spark MLlib | TensorFlow | Text Classification | Time Series | Time Series Analysis
Education
N/A
Roles
AI | AI/ML Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer
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