Senior Data Scientist
Tasks
- Analyze data to drive business solutions
- Apply Generative AI techniques to solve business problems
- Apply responsible AI safety guardrails
- Design prototype evaluate agentic AI workflows
- Develop and monitor data models and metrics
- Develop custom AI ML models and algorithms
- Integrate and operationalize AI solutions for clients
- Lead agent tool using workflows retrieval augmented generation orchestration
- Provide technical leadership and mentorship
- Use prompt engineering and model evaluation
Perks/Benefits
- Employee referral bonus
- Flexible paid time off
- Health insurance
- Hybrid work model
- Night shift allowance
- Paid parental leave
- Professional Certification Reimbursement
- Transportation allowance
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Agentic AI | Amazon Bedrock | Amazon Redshift | Amazon S3 | Amazon SageMaker | Feature Engineering | Generative AI | Human-in-the-loop | LLM | Machine Learning | Model Evaluation | Model Validation | Orchestration | Power BI | Prompt engineering | Python | Relational databases | Retrieval-Augmented Generation | SQL | Snowflake | Statistical Analysis | Supervised Learning | Tableau | The Loop | Tool-Calling | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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