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python machine learning transformers sagemaker embeddings📋 Description
- Own the algorithm lifecycle from problem definition to production models.
- Research, design, and build anomaly detection and predictive models from sensor data.
- Ensemble multi-modal data with statistics, deep learning, transformers, GenAI, and graphs.
- Engage with customers and product teams to develop data-driven solutions utilizing new data types.
- Train models on cloud big data platforms with distributed processing.
- Leverage LLMs/agents, guardrails, planning, embeddings, and stream analysis.
🎯 Requirements
- M.Sc./Ph.D. in Electrical Eng, CS, Physics, Math, or related field.
- 4+ years ML experience with time-series, embeddings, and transformers.
- Proficiency in Python and the Applied Science SDLC (discovery to fine-tuning).
- Experience in anomaly detection and KPI optimization (recall/precision/tail metrics).
- Experience with ML Ops infra (Vertex AI, SageMaker, etc).
- Agile cross-functional collaboration with product, infra, and data teams.
🎁 Benefits
- Stock options
- Paid parental leave
- Flex PTO
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