Data Scientist
Tasks
- Build orchestrate and maintain data and AI workflows in Databricks
- Collaborate with data engineers on governed data foundations
- Deploy monitor and optimize models from proof of concept
- Design build productionize GenAI applications and pipelines
- Develop LLM driven data enrichment analytics workflows
- Develop conversational AI solutions
- Implement audio image and multimodal processing systems
- Integrate optimize and manage external AI platforms and third party services
- Provision deploy and scale AI services on cloud platforms
- Write production Python code with automated tests monitoring and guardrails
Perks/Benefits
Skills/Tech-stack
AWS | Automated testing | Azure | Data Pipelines | Databricks | GCP | GenAI | Guardrails | LLM | MLflow | Machine Learning | Model Serving | Monitoring | Pandas | PySpark | Python | Reliability | Retrieval-Augmented Generation | SQL | Security | Transformers | Workflow Orchestration
Education
N/A
Roles
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