Remote Machine Learning Solutions Architect

Jobot; Austin (TX); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive Compensation

Remote-First Work Environment

Learning & Development Opportunities

Health/Dental/Vision Insurance

401(k) Plan

4 Weeks PTO

Job summary

A leading data solutions company is seeking a Machine Learning Solutions Architect to design and implement machine learning systems. In this remote role, you will work with data scientists and engineers to create production-ready solutions that provide business value. The ideal candidate has over 6 years of experience, strong programming skills, and experience deploying ML models in various environments. Enjoy competitive compensation and a flexible work culture.

Qualifications

• 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer.
• Hands-on experience deploying ML models into production environments.
• Strong programming skills in Python, Scala, Java, or similar languages.

Responsibilities

• Design and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle management.
• Architect and build environments that enable data scientists to develop and deploy models efficiently.
• Work directly within customer systems to prepare data for analytics and ML use cases.

Skills

Machine Learning

Software Engineering

Data Engineering

Python

SQL

Cloud Platforms

API Development

Data Pipelines

Education

Bachelor's degree in Data Science or related field

Advanced degree in Data Science or related field

Tools

TensorFlow

Keras

Docker

Kubernetes

Snowflake

Databricks

Job description

A leading data solutions company is seeking a Machine Learning Solutions Architect to design and implement machine learning systems. In this remote role, you will work with data scientists and engineers to create production-ready solutions that provide business value. The ideal candidate has over 6 years of experience, strong programming skills, and experience deploying ML models in various environments. Enjoy competitive compensation and a flexible work culture.