Associate AI Engineer

Emonics LLC; New York (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

Emonics LLC in New York City is seeking an Associate AI Engineer to support development, integration, testing, and deployment of AI/ML solutions. You will work with Python and machine learning to build practical applications using generative AI and modern AI technologies.

Responsibilities include developing AI/ML applications, data preparation, modeling, integrating LLMs and AI APIs, building REST APIs, deploying in the cloud, and writing documentation while collaborating with engineers, data

Qualifications

• Bachelor's degree or equivalent knowledge in Computer Science, AI, Data Science, Engineering, or a related field.

Responsibilities

• Develop and maintain AI/ML applications using Python.
• Prepare, clean, and analyze datasets for machine-learning solutions.
• Build, evaluate, and improve machine-learning models.
• Integrate LLMs and AI APIs into business applications.
• Build REST APIs and AI-powered services.
• Perform model testing, evaluation, debugging, and optimization.
• Collaborate with software engineers, data scientists, and product teams.
• Deploy AI solutions using cloud and container technologies.
• Write technical documentation and maintain code repositories.
• Stay current with emerging AI/ML and generative-AI technologies.

Skills

Python

Machine learning

Data analysis

REST APIs

Cloud deployment

Container technologies

Education

Bachelor's degree in CS/AI/Data Science/Engineering

Tools

LLMs

AI APIs

Job description

We are looking for an Associate AI Engineer to support the development, integration, testing, and deployment of AI and machine-learning solutions. The ideal candidate has a strong foundation in Python and machine learning and is interested in building practical applications using generative AI and modern AI technologies.

Responsibilities

• Develop and maintain AI/ML applications using Python.
• Prepare, clean, and analyze datasets for machine-learning solutions.
• Build, evaluate, and improve machine-learning models.
• Integrate LLMs and AI APIs into business applications.
• Build REST APIs and AI-powered services.
• Perform model testing, evaluation, debugging, and optimization.
• Collaborate with software engineers, data scientists, and product teams.
• Deploy AI solutions using cloud and container technologies.
• Write technical documentation and maintain code repositories.
• Stay current with emerging AI/ML and generative-AI technologies.

Required Qualifications

• Bachelor's degree or equivalent knowledge in Computer Science, AI, Data Science, Engineering, or a related field.