Data Scientist Specialist
Tasks
- Apply software engineering best practices
- Architect end to end machine learning systems
- Build production AI pipelines
- Collaborate on cross functional technical requirements
- Deploy AI models using real time APIs and batch processing
- Design scalable AI microservices
- Develop predictive modeling recommendation engines and NLP
- Implement MLOps model monitoring and CI CD for ML
- Implement containerization and orchestration
- Integrate AI solutions into software ecosystem
- Maintain version control and documentation
- Manage model lifecycle and reliability under load
- Prototype and integrate generative AI LLMs and computer vision
- Track performance metrics and data drift
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Computer Vision | Data Drift | Data Modeling | Data Transformation | Deep learning | Dimensional Modeling | Docker | Fine Tuning | Generative AI | Git | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Prompt engineering | Python | R | Retrieval-Augmented Generation | SQL
Education
N/A
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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