Lead Aiml Engineer
Tasks
- Adopt generative AI and large language models
- Build machine learning pipelines
- Create advanced analytics solutions
- Define enterprise machine learning architecture and standards
- Design predictive models
- Drive model reliability scalability explainability and governance
- Establish MLOps practices
- Implement model training validation deployment and monitoring
- Integrate machine learning models into applications and APIs
- Lead end-to-end machine learning development
- Mentor data scientists and ML engineers
- Monitor model performance and drift
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Anomaly Detection | Artificial Intelligence | CI/CD | Classification | Docker | Embeddings | Feature Engineering | Feature Stores | Forecasting | Kubernetes | Language Models | Large Language Models | LightGBM | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model Registry | Model Training | Model versioning | NumPy | Pandas | PyTorch | Python | RAG | Recommendation Systems | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | XGBoost
Education
N/A
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