Remote AI Engineer — ML Pipelines, AWS & Kubernetes

YO IT Consulting; Boston (MA); On-site; USD 110,208 - 165,312; Full time

Job summary

YO IT Consulting is seeking an AI Engineer on a remote contract to design and deploy ML models and robust data pipelines. You will work with data scientists and engineers to translate business problems into scalable AI solutions and production-ready workflows.

The role emphasizes strong coding skills (Python/Java), CI/CD automation, and hands-on experience with AWS and Kubernetes to ensure reliable deployments in production environments.

Qualifications

• Proven expertise in ML algorithms, model development and deployment.
• Strong programming skills in Python or Java and experience in large-scale software projects.
• Hands-on experience with CI/CD workflows and automation tools.
• Hands-on experience with AWS cloud services for ML apps and data pipelines.
• Advanced knowledge of Kubernetes for orchestrating containerized ML workloads.
• Excellent written and verbal communication; strong documentation.
• Ability to scope and solve complex real-world data challenges.

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 scalability.
• Collaborate with data scientists, engineers, and researchers to translate business problems into ML solutions.
• Evaluate, preprocess, and frame real-world data problems for effective machine learning applications.
• Document and communicate findings and technical decisions clearly.

Skills

ML algorithms

Python/Java

CI/CD

AWS

Kubernetes

Communication

Data problems

Job description

YO IT Consulting is seeking an AI Engineer on a remote contract to design and deploy ML models and robust data pipelines. You will work with data scientists and engineers to translate business problems into scalable AI solutions and production-ready workflows.

The role emphasizes strong coding skills (Python/Java), CI/CD automation, and hands-on experience with AWS and Kubernetes to ensure reliable deployments in production environments.