Senior Data Scientist - AI & ML Engineer
Tasks
- Architect and optimize scalable data pipelines
- Collaborate on data preprocessing and transformation
- Deploy and maintain machine learning models in production
- Design and implement agentic AI solutions
- Develop model versioning and automated testing
- Implement CI/CD pipelines for ML workflows
- Integrate monitoring and alerting for drift and data quality
- Lead machine learning lifecycle from ingestion to deployment
- Mentor junior engineers and share best practices
- Monitor model performance and implement retraining
- Translate business needs into technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Automated testing | Azure | CI/CD | Cloud platform | Containerization | Data Pipelines | Deep learning | Docker | Feature Engineering | Git | Google Cloud | Google Cloud Platform | Kubernetes | Langchain | Langgraph | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model versioning | Orchestration | Pandas | PyTorch | Python | SQL | Scikit-learn | Spark | TensorFlow | Web Services
Education
N/A
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist | Senior Data Scientist
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