Job Description

Location: Miramar, FL (hybrid- must already be located in south Florida. Will not accept relo candidates)

Pay: $52-58/hr USD

Duration: 3 Month Contract to hire

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

• Graduate degree in some quantitative field (computer science, data science, mathematics, statistics, engineering, or physics)
• Highly experienced in AI/ML, data science, and architecture and strong knowledge of languages and tools such as Python, TensorFlow, and PyTorch
• Experienced with technologies related to Large Language Models (LLMs) including architecture, model evaluation and pre-training and fine-tuning techniques
• Background in using open source frameworks, prompt engineering, and RAG (retrieval- augmented generation) techniques to develop apps powered by LLMs
• Skilled in data platforms such as AWS, Azure, and Spark and in developing/deploying Agentic Workflow agents
• Experienced with tools/frameworks such as LangGraph, LangSmith, AWS bedrock, Azure AI Studio, AutoGen, or Crew AI

Day to day:

Our major distribution client is looking for an AI Research Scientist to join their team. This individual will develop and fine-tune generative AI models for enterprise applications. They will design and implement AI solution architectures, create prototypes and proof of concepts (PoCs), explore new apps, and ensure high reliability and safety of AI systems. They will collaborate with data science, ML, digital, and analytics and engineering teams to create innovative Gen AI models and systems and push for their adoption. This individual should understand how to work with stakeholders and be self-motivated in a high-energy environment.

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