Tykhe Inc · 6 days ago

Lead AI Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

5+ years exp

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Responsibilities

Design, build and develop AI algorithms and systems for complex, clinical applications

Evaluate and deploy models critical to solving complex problems with diverse, multimodal data sets

Leverage the latest techniques including deep learning, neural networks, and other ML algorithms to derive business insights and fuel informed decision-making

Automate processes by utilizing machine learning; build necessary infrastructure used by the entire AI team of engineers, scientists and other collaborators

Qualification

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AI algorithmsMachine LearningDeep learningNeural networksMLOps fundamentalsCloud platformsData pipelinesPytorchTensorflowScikit-learnXgboostAzure AI studioLangchainLlamaindexHaystackVector databasesRetrieval techniques

Required

Design, build and develop AI algorithms and systems for complex, clinical applications

Evaluate and deploy models critical to solving complex problems with diverse, multimodal data sets

Leverage the latest techniques including deep learning, neural networks, and other ML algorithms to derive business insights and fuel informed decision-making

Automate processes by utilizing machine learning; build necessary infrastructure used by the entire AI team of engineers, scientists and other collaborators

Preferred

5+years of practical experience as an engineer with focus on implementation of AI / ML machine learning solutions.

Bachelors or master's in computer science / Machine Learning / AI, or related work experience with the design, building and evaluation of Machine Learning systems.

3+years’ experience with Machine Learning ecosystem tools, including pytorch/tensorflow, scikit-learn, xgboost or equivalents.

Understanding of MLOps fundamentals, including orchestration tools, cloud compute, and observability tools.

Good understanding of cloud platforms e.g. Azure / GCP / AWS and their AI tool set

Practical experience working with data and code pipelines

Ability to implement, test and deploy Machine Learning models.

Familiarity with langchain / llamaindex / haystack / Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enabled tech stack is a plus.