Data scientist officer
Tasks
- Build MLOps and model observability
- Deploy AI microservices
- Design and develop genai solutions
- Evaluate and benchmark LLMs
- Implement agentic AI architecture
- Integrate customize and train LLMs
- Lead agile team to deliver GenAI solutions
- Operationalize and productize AI solutions
- Rationalize and improve model reusability scalability
- Resolve production model and algorithm issues
- Support IT integration QA UAT deployment
- Support model validation and go live changes
- Write model specifications and test results
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
AI Foundry | AWS Bedrock | Agentic AI | Amazon SageMaker | Attention Mechanisms | Azure AI | Azure AI Foundry | Azure ML | Benchmarking | Databricks | Deep learning | Distillation | Fine Tuning | GenAI | GitHub Copilot | Hadoop | Java | LLM integration | LLM validation | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Observability | Natural Language | Natural Language Processing | PostgreSQL | Python | Retrieval-Augmented Generation | Snowflake | Text2SQL | Transformers | Vector Database
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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