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Must be able to pass random drug tests
Ability to lift 75 pounds safely
Two years of experience working as a delivery driver with no legal or safety incidents on record
Knowledge of applicable driving rules and regulations
Must have a valid drivers license and clean driving record
High school diploma or GED required

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New, Posted 1 day ago

AI/Machine Learning Data Engineer

Acosta Sales & Marketing

Boise, ID 83709

Hybrid~ 36 min

Knowledge of machine learning fundamentals, including supervised and unsupervised learning, NLP, and generative AI
Understanding of responsible AI principles, including fairness, transparency, and data privacy
High School Diploma/ GED is required
Bachelor's Degree in Technology Industry is preferred or equivalent work experience
Experience with Databricks, serverless deployments (e.g., Azure Functions), containerization (Docker/Kubernetes), and CI/CD pipelines using Azure DevOps is highly valued.
Listening
Programming: Proficiency in Python (must) and SQL for data manipulation, querying, and automation.
Proficiency in Python and SQL is essential, along with a solid understanding of vector databases, semantic search, and dimensional data modeling.
Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering.
Ability to support AI solutions in production, including troubleshooting, performance tuning, and incident response
Experience with cloud‑based development environments, particularly Microsoft Azure
Microsoft Exam AI-102: Designing and Implementing an Azure AI Solutions (preferred).
The ideal candidate will have hands‑on experience with cloud platforms (preferably Azure), agentic frameworks (e.g., LangChain), Large Language Models (LLMs), and generative AI techniques including fine‑tuning and Retrieval‑Augmented Generation (RAG).
Agentic Frameworks: Knowledge of AI agent frameworks and orchestration (e.g., LangChain).
Applicants must be legally authorized to work in the United States and/or Canada without the current or future need for employer‑sponsored work authorization.
This is a hybrid role based in our office environment in either Jacksonville, FL, Lewisville, TX or Mississauga/Toronto, ON.
Seeing
Ability to rapidly learn and apply new AI tools and frameworks in a fast‑evolving technology landscape
LLMs & Generative AI: Strong understanding of Large Language Models, fine‑tuning, and RAG pipelines.
Candidates will be expected to work as much as 3 days per week onsite depending on proximity to corporate hubs.
Acosta Group is seeking a highly skilled and adaptable AI/ML Data Engineer to design, develop, deploy, and support AI-powered solutions that enhance Acosta's internal operations and decision-making capabilities.
This role combines deep technical expertise with a strong focus on scalability, reliability, and integration across enterprise platforms such as Azure AI, Power Platform, and Copilot Studio.
Data Warehousing: Solid understanding of data warehouse concepts, including dimensional modeling (fact and dimension tables).
Familiarity with MLOps practices and tools for model lifecycle management and monitoring