Machine Learing/AI Engineer jobs in United States
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neteffects · 1 week ago

Machine Learing/AI Engineer

Neteffects is seeking a Machine Learning/AI Engineer for a W2 contract-to-hire position. The role involves building and supporting production-level AI systems, developing RAG pipelines, and working with various Azure services.

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Growth Opportunities
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Hiring Manager
Brad Lankford
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Responsibilities

Strong Python (production-level) meaning the person can build, ship, and support real systems in production, not just write scripts or notebooks
Built RAG pipelines end-to-end
Gen AI - have to understand how to do RAG (Retrieval Augmented Generation) and LLM’s (large language models)
Experience with Agentic AI (tool use, workflows)
Azure OpenAI / Cognitive Services (Azure OpenAI and Cognitive Services provide the AI capabilities, while Blob Storage, Data Factory, and Cloud Foundry are the Azure platform services used to store data, orchestrate pipelines, and run the production system.)
Azure experience: Blob Storage, Data Factory, Document Intelligence, Cloud Foundry on Azure
API development (FastAPI preferred; Flask/Django acceptable) - FastAPI needed but anyone can learn it if they know Python well and if they have done any REST APIs (using flask, Django, etc.)
Some ML/model training exposure - This team is training the models as part of the use case so this person will need some experience doing that
Good overall understanding of AI Tools such as ChatGPT, Gemini, etc. with an understanding of how they process a pdfs, Azure Cognitive Services, etc
Comfortable on video and running meetings
Can explain AI outputs in business and finance terms
They have to be super technical, hands-on, address problems quickly, and able to work in a very fast-paced environment
Getting ahold of finance teams is hard so they have to be ok with that

Qualification

PythonRAG pipelinesGen AIAzure OpenAIAPI developmentML/model trainingAI Tools understandingVideo communicationBusiness explanationProblem-solvingFast-paced environment

Required

Strong Python (production-level) meaning the person can build, ship, and support real systems in production, not just write scripts or notebooks
Built RAG pipelines end-to-end
Gen AI - have to understand how to do RAG (Retrieval Augmented Generation) and LLM's (large language models)
Experience with Agentic AI (tool use, workflows)
Azure OpenAI / Cognitive Services (Azure OpenAI and Cognitive Services provide the AI capabilities, while Blob Storage, Data Factory, and Cloud Foundry are the Azure platform services used to store data, orchestrate pipelines, and run the production system.)
Azure experience: Blob Storage, Data Factory, Document Intelligence, Cloud Foundry on Azure
API development (FastAPI preferred; Flask/Django acceptable) - FastAPI needed but anyone can learn it if they know Python well and if they have done any REST APIs (using flask, Django, etc.)
Some ML/model training exposure - This team is training the models as part of the use case so this person will need some experience doing that
Good overall understanding of AI Tools such as ChatGPT, Gemini, etc. with an understanding of how they process a pdfs, Azure Cognitive Services, etc
Comfortable on video and running meetings
Can explain AI outputs in business and finance terms
They have to be super technical, hands-on, address problems quickly, and able to work in a very fast-paced environment
Getting ahold of finance teams is hard so they have to be ok with that
Bachelor's degree is ideal but if they do not have one still will be considered

Benefits

With benefits

Company

neteffects

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NetEffects is a staffing and recruiting company that offers payrolling, direct hire staffing and IT staffing.

Funding

Current Stage
Growth Stage
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