Remote AI Engineer — Build Scalable ML Pipelines

YO IT Consulting; Atlanta (GA); On-site; USD 90,000 - 120,000; Full time

Job summary

YO IT Consulting is looking for an AI Engineer who will assist in training next-generation AI systems. This role involves designing and optimizing machine learning models and implementing end-to-end ML pipelines using CI/CD best practices. Successful candidates will have robust programming skills and experience with AWS and Kubernetes.

No prior AI experience is necessary, but strong domain knowledge and problem-solving skills are crucial. This is a contract position, offering the flexibility of remote work.

Qualifications

• Proven expertise in machine learning algorithms, model development, and deployment.
• Strong programming skills, ideally in Python or Java.
• In-depth experience with CI/CD workflows and automation tools.

Responsibilities

• Design, build, and optimize robust machine learning models for production environments.
• Implement and automate end-to-end ML pipelines using CI/CD best practices.
• Leverage AWS services for scalable AI infrastructure.

Skills

Machine learning algorithms

Python or Java programming

CI/CD workflows

AWS cloud services

Kubernetes

Technical documentation

Problem-solving

Job description

Job Description

Job Title: AI Engineer

Job Type: Contract

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities

• Design, build, and optimize robust machine learning models for production environments.
• Implement and automate end-to-end ML pipelines using CI/CD best practices.
• Leverage AWS services for scalable AI infrastructure and model deployment.
• Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability.
• Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions.
• Evaluate, preprocess, and frame real-world data problems for effective machine learning applications.
• Document and communicate findings, solution approaches, and technical decisions with clarity and precision.
  
  

Required Skills And Qualifications

• Proven expertise in machine learning algorithms, model development, and deployment.
• Strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects.
• In-depth experience with CI/CD workflows and automation tools.
• Hands-on expertise with AWS cloud services for ML applications and data pipelines.
• Advanced knowledge of Kubernetes for orchestrating containerized ML workloads.
• Exceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration.
• Demonstrated ability to scope, structure, and solve complex, real-world data challenges.
  
  

Preferred Qualifications

• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Experience working in high-growth or startup environments.
• Strong publication record or contributions to open-source AI projects.