Qualifications:
- Experience having led multiple projects leveraging LLMs, GenAI and Prompt Engineering
- Exposure to real-world MLOps deploying models into production adding features to products.
- Knowledge of working in a cloud environment
- Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot
Responsibilities:
- Bachelor's degree in Computer Science or equivalent degree.
- 8+ years of software experience Experience with Machine learning frameworks and models
- The Staff ML Engineer is expected to fully own the services that are built with the ML Scientists. This cuts across scalability, availability, having the metrics in place, alarms/alerts in place – and be responsible for the latency of the services
- Data quality checks & onboarding the data on to the cloud for modeling purposes
- Prompt Engineering, FT work, Evaluation, Data
- End-end AI Solution architecture, latency tradeoffs, LLM Inference Optimization, Control Plane, Data Plate, Platform Engineering
- Comfort in Python and Java is highly desirable
- The Staff ML Engineer will head the ML engineering for a pod and be the technical leader for all ML/AI Engineering issues in a delivery pod
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