Build prototypes using AI techniques to boost optimization.
Work with large, complex data sets; solve difficult data analysis problems.
Redesign pipelines and systems to meet growing data/query needs.
Fine-tune and adapt pre-trained generative models for healthcare tasks.
Develop evaluation metrics and benchmarks for AI/ML models.
Design and implement feature engineering pipelines to optimize model performance.

🎯 Requirements

BS/BTech in Computer Science or related field required.
3+ years deep learning and LLM work experience.
8+ years ML and statistical analysis experience.
3+ years Python experience.
Experience addressing incomplete, unrepresentative, and mislabeled data.
Experience with large-scale distributed systems and Spark.

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