Machine Learning Engineer

Title : Machine Learning Engineer (AWS + MLOps + LLMs)

Location : Remote / Hybrid

About the Role

LowPropTax is looking for a Machine Learning Engineer who can manage the full ML lifecycle — from data preparation and model experimentation to cloud deployment and monitoring. You will build and scale ML systems using AWS tools, with a focus on Lambda, SageMaker, and Databricks.

Responsibilities

• Design and automate end-to-end ML pipelines using AWS Lambda, SageMaker, and Step Functions.
• Experiment with models including LLMs, regression, and classification tasks.
• Use Databricks for feature engineering, model training, and performance tuning.
• Deploy models to production environments with CI / CD automation.
• Implement monitoring for accuracy, drift, and cost optimization.
• Collaborate with data and backend teams to integrate ML systems with core business applications.
• Document experiments, version models, and manage reproducibility.

Requirements

Preferred Skills

Ideal Profile

This role blends data science experimentation with MLOps deployment. You’ll work on both — building models and running them in production.

Compensation : Competitive, based on experience.

Would you like me to make a shorter LinkedIn version (2-3 lines per section, punchier tone for posts and job boards)?