Artificial Intelligence Engineer

52 Limited; United States; On-site; USD 80,000 - 120,000; Part time

Job summary

A technology consultancy is seeking a Mid-Senior level professional to design and implement AI solutions. The role involves collaborating with various teams, fine-tuning models, and developing scalable deployments. Candidates should have knowledge of MLOps and AI ethics. This is a contract position with potential for extension, based in the United States.

Qualifications

• Exposure to governance frameworks or AI ethics guidelines for enterprise environments.
• Understanding of MLOps pipelines and tools.
• Agency/Consultancy background.

Responsibilities

• Design and implement AI solutions using LLMs, embeddings, and other ML models.
• Collaborate to identify AI use cases and define technical requirements.
• Fine-tune and evaluate model performance across datasets.
• Develop and maintain model pipelines, APIs, and orchestration layers.
• Create and document evaluation metrics and validation frameworks.
• Work with prompt engineers to optimize interactions between models and applications.
• Stay current with emerging AI tools, frameworks, and best practices.

Job description

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Responsibilities

• Design and implement AI solutions using LLMs, embeddings, and other ML models to solve business and product challenges.
• Collaborate with product, engineering, and data teams to identify AI use cases and define technical requirements.
• Fine-tune and evaluate model performance across diverse datasets and workflows.
• Develop and maintain model pipelines, APIs, and orchestration layers for scalable deployment.
• Create and document evaluation metrics and validation frameworks to ensure model reliability, safety, and alignment.
• Work with prompt engineers to optimize interactions between models and application layers.
• Stay current with emerging AI tools, frameworks, and best practices to continuously enhance capability and performance

Preferred Experience

• Exposure to governance frameworks or AI ethics guidelines for enterprise environments.
• Understanding of MLOps pipelines and tools
• Agency/Consultancy background

4+ month contract with opportunity for extension.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

IT Services and IT Consulting

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