Design, build, and deploy generative AI and machine learning solutions for clients, with a focus on LLM-powered applications using RAG, agents, prompt engineering, and fine-tuning. The role requires 3+ years of production ML implementation experience and 2–4 years of consulting experience, with hands-on fluency in AI/ML concepts and at least one major cloud platform.… You'll develop traditional ML solutions in computer vision, NLP, and recommendation systems; validate and monitor models in production; and mentor others while staying current with emerging AI trends.
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