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aws snowflake python gcp pytorchπ Description
- Experiment and deploy AI copilots at scale to boost analyst productivity.
- Own end-to-end system: API calls to data sources, prompts, orchestration, metrics and monitoring.
- Use diverse data such as payments, connected users, assets, unstructured text to build transformer models for detection tasks.
- Work cross functionally with product, platform, engineering and operations to deploy production grade systems.
- Use Python ML stack, LLMs, PyTorch, Snowflake, Airflow, and cloud services on GCP and AWS.
- Leverage agentic tools Claude Code Codex Openclaw to accelerate research, development, devOps and documentation.
π― Requirements
- 8+ years of ML modeling experience; full stack ML preferred.
- Masters or advanced degree in CS, data science, operations research, applied math, stats, physics, or related field.
- 3+ years in AI engineering, LLMs, and NLP is a strong plus.
- End to end experience building and deploying ML AI to production systems (batch and real time).
- Experience owning and driving programs with cross functional stakeholders.
- Curious, growth oriented mindset and first principles thinking.
π Benefits
- Remote work options
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning benefits
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