Title: Data Scientist
Location: Auburn Hills, MI
Onsite
Required Skills & Qualifications (Mandatory)
Strong hands-on experience building and deploying ML solutions on AWS.
Proven experience with LLMs, including OpenAI models/APIs, and current knowledge of leading AI/LLM model families.
Hands-on experience building agentic AI systems (multi-agent orchestration, tool use, autonomous workflows).
Experience building RAG systems, including semantic RAG (embeddings, vector databases, semantic retrieval).
Deep understanding of data: exploration, quality, feature engineering, and its impact on model outcomes.
Strong coding proficiency in Python and Java.
Experience building front-end interactive applications (React, TypeScript, or Java-based UI) to surface model outputs to end users.
Practical experience with Docker/containers and GPU compute for training/inference.
Experience building and maintaining CI/CD pipelines for ML/AI workloads.
Working knowledge of DevSecOps practices applied to ML pipelines.
Experience providing operational support for production ML/AI systems, including monitoring and incident response.
Experience implementing model governance and monitoring (drift detection, performance tracking, periodic retraining/tuning cycles).
Demonstrated ability to design for human-in-the-loop / human-on-the-loop workflows for model oversight, retraining, and tuning.
Demonstrated judgment in model/technique selection, including when to use AI/LLM approaches vs. traditional methods.
Experience defining measurable testing/evaluation criteria for model performance and quality.
Experience writing automated test cases, including using AI-assisted approaches to generate test coverage for model builds.
Solid understanding of AI governance, legal, and security requirements, and experience embedding guardrails into model development.
Familiarity with ML/AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain/LlamaIndex or similar agentic/RAG frameworks).
Preferred Qualifications
Working knowledge of GCP and Azure ML/AI services.
Experience with responsible AI toolkits (bias/fairness testing, model explainability).
Certifications in AWS ML/AI or relevant cloud platforms.We're looking for a babysitter to help with our infant starting November 2nd, though the start date is flexible. This position involves supervising one child and ensuring their safety. The ideal candidate is comfortable around pets, as we have a cat in the home. A reliable...
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