Junior AI Engineer

Emonics LLC; San Diego (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

Emonics LLC is seeking an Associate AI Engineer to support the development, integration, testing, and deployment of AI and machine-learning solutions in California. The role emphasizes building AI/ML applications, processing datasets, evaluating models, and deploying services in cloud and container environments.

The candidate will collaborate with software engineers, data scientists, and product teams, while writing documentation and staying updated on the latest AI technologies.

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

AI/ML

REST APIs

Education

Bachelor's degree or equivalent

Job description

Role Overview:

We are looking for an Associate AI Engineer to support the development, integration, testing, and deployment of AI and machine-learning solutions.

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.