AI Engineering Lead/AI Engineering Architect-Hands on

Overview

Remote
$100,000 - $160,000
Full Time
No Travel Required

Skills

python
AI
ML
OPENAI
AWS
S3
engineering
lead
architect

Job Details

****Client is not sponsoring any visa****

AI Engineering Lead

Must Have Technical/Functional Skills

- Strong proficiency in Python for AI/ML development.

- Hands-on experience with OpenAI and modern AI frameworks.

- Experience with AWS services for AI deployment.

- Proven leadership and ability to guide engineering teams

 

Good to have

- Solid understanding of ETL processes and data integration.

- Airflow and Harness for managing AI pipelines.

- Familiarity with platforms for data management.

- Familiarity with automated testing and deployment pipelines.

Roles & Responsibilities

Build and maintain AI/ML pipelines on AWS, leveraging services such as Amazon S3 for data storage, AWS Lambda for

serverless functions, and Amazon EC2 for compute resources.

Deploy trained models into production environments using AWS SageMaker Endpoints, AWS Lambda, or containerization technologies like Docker and Kubernetes on AWS EKS.

Implement MLOps practices for continuous integration, continuous delivery (CI/CD), and monitoring of ML models.

Preprocess and analyze data, engineer features, and select appropriate algorithms for specific problems.

Utilize AWS services like Amazon SageMaker for efficient model training, hyperparameter tuning, and experiment

tracking.

Analyzes data, builds models, and uncovers insights, often using Python for exploration and prototyping.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.