Remote AI/ML Engineer: End-to-End Pipelines & SageMaker

ConglomerateIT LLC; Dallas (TX); Remote; USD 120,000 - 160,000; Full time

Job summary

ConglomerateIT LLC is seeking an AI/ML Engineer to design and deploy end-to-end ML pipelines remotely. The role requires deep Python expertise and hands-on experience with AWS data tools for processing large datasets.

You will work on ML model development using SAS analytics, implement MLOps practices, and contribute to scalable AI platforms while collaborating with global teams in a remote setup.

Qualifications

• Hands-on experience building end-to-end ML pipelines, including data prep and feature engineering.
• Strong Python coding with Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
• Practical work with AWS data tools: S3, Glue, Athena, Spark for large datasets processing.
• Deep knowledge of AWS ML services, especially SageMaker, SageMaker Pipelines, Feature Store, and model deployment.
• Track record of building ML models using supervised and unsupervised methods, predictive analytics, and statistical techniques.
• Background with SAS for analytics and ML in large enterprise settings.
• MLOps know-how covering CI/CD, monitoring, retraining, and production support.
• Ability to own technical design from build to deployment with minimal supervision.

Tools

Python

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

AWS SageMaker

SageMaker Pipelines

Feature Store

Spark

SAS

Kafka

Step Functions

Job description

ConglomerateIT LLC is seeking an AI/ML Engineer to design and deploy end-to-end ML pipelines remotely. The role requires deep Python expertise and hands-on experience with AWS data tools for processing large datasets.

You will work on ML model development using SAS analytics, implement MLOps practices, and contribute to scalable AI platforms while collaborating with global teams in a remote setup.