Enzo Tech Group

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (Remote - USA) with a contract length of "Unknown" and a pay rate of "Unknown." Key skills include Python, SQL, and experience in ML/AI, GenAI, and agentic AI solutions within the food & beverage industry.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
November 28, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
-
🧠 - Skills detailed
#Automation #GCP (Google Cloud Platform) #Data Science #React #TensorFlow #SQL (Structured Query Language) #Azure #Langchain #ML (Machine Learning) #SageMaker #AWS (Amazon Web Services) #Cloud #MLflow #PyTorch #Databricks #Forecasting #Python #AI (Artificial Intelligence)
Role description
Data Scientist – ML / GenAI / Agentic AI (Remote - USA Based) - Fortune 500 Food & Beverage About the Role Join a Fortune 500 food & beverage company to build and deploy machine learning, generative AI, and agentic AI solutions that drive efficiency, automation, and smarter decision-making across the business. What You’ll Do β€’ Build and deploy ML models for forecasting, optimization, and personalization β€’ Develop and fine-tune LLMs and GenAI applications (RAG, embeddings, multimodal) β€’ Design agentic AI workflows to automate complex operations β€’ Collaborate with cross-functional teams to identify and deliver high-value AI use cases β€’ Support production via MLOps and cloud platforms β€’ Present insights and model results to technical and business stakeholders Key Technologies β€’ Languages: Python, SQL β€’ ML/AI: PyTorch, TensorFlow, scikit-learn β€’ GenAI: LLM fine-tuning, RAG, vector DBs, embeddings β€’ Agentic AI: LangChain Agents, AutoGen, ReAct-style frameworks β€’ Cloud/MLOps: AWS/Azure/GCP, MLflow, Databricks, SageMaker/Vertex If you feel like this is a fit please apply below.