Senior Customer Data Scientist
Tasks
- Advise customers on AI risk value and next steps
- Collaborate with engineering and program teams to deliver engagements
- Create enablement workshops hackathons bootcamps training
- Create proof of concepts for pre sales
- Deliver end to end generative AI solutions
- Design RAG pipelines
- Design and build AI ML agents
- Develop agentic AI workflows
- Develop reusable solution templates accelerators playbooks
- Evaluate and fine-tune LLMs
- Feed customer requirements into AI ML product teams
- Guide AI adoption model governance monitoring improvement
- Implement LLMOps and guardrails
- Integrate workflows into production environments
- Represent company at customer briefings events and thought leadership
- Translate AI outputs into business narratives
Perks/Benefits
Skills/Tech-stack
AI monitoring | Anomaly Detection | Compliance | Data Privacy | Deep learning | Fine Tuning | Gradient boosting | Guardrails | LLMOps | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Governance | Natural Language | Natural Language Processing | Neural Networks | Python | RAG | Random Forests | Responsible AI | Retrieval-Augmented Generation | Security | Time Series
Education
N/A
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