Engr III Spec-AI Science

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Skills you'll use

Who can apply

• Design, develop, and implement innovative AI/ML solutions using Python, CI/CD, public cloud platforms, and JavaScript frameworks.
• Contribute to developing robust and scalable distributed computing systems for large-scale data processing.
• Implement and analyze the performance of advanced algorithms, including those from deep learning and generative AI.
• Design and implement AI/ML pipelines for efficient model training and deployment.
• Collaborate effectively with cross-functional teams to understand business needs and deliver impactful solutions.
• Experience on Model-serving runtimes Like BentoML or TensorFlow Serving (TFX) or Triton Inference Server
• Experience on Model-serving platforms like Cloud-provider platforms (Amazon SageMaker, Vertex AI, Azure Machine Learning) KServe , Ray .
• Understanding of SOTA algorithms, especially in personalization, cognitive and generative models. Must have good understanding and ability to explain both the code and the underlying math used in algorithms/models.
• Familiarity with multi modal data, vector and graph databases and data warehousing fundamentals

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