Senior Machine Learning Engineer (Fully Remote)

talenthop • United State

Remote

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AI Summary

The Senior Machine Learning Engineer will develop, optimize, and deploy advanced ML models to enhance predictive analytics and decision-making. This role focuses on scalable ML workflows, model integration, and cross-functional collaboration to drive data-driven solutions. Key requirements include Python proficiency, hands-on experience with Databricks, and expertise in model deployment and CI/CD pipelines.

Key Highlights

Develop, optimize, and deploy scalable ML models for predictive analytics

Collaborate with cross-functional teams to align ML solutions with business needs

Ensure model performance, integration, and production readiness

Key Responsibilities

Develop, train, test, and optimize machine learning models for predictive analytics and classification

Support scalable, reusable ML capabilities and integrate models with data pipelines, APIs, and application services

Collaborate with data engineers, developers, and stakeholders to translate business needs into technical ML solutions

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Technical Skills Required

Python Machine Learning Databricks

Benefits & Perks

401(k)

Dental insurance

Health insurance

Paid time off

Vision insurance

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Nice to Have

Experience with government contracts or regulated industries

Familiarity with identity and access management or enterprise SaaS

Experience with Jira and Confluence

Job Description

This is a Fully Remote Job

About Our Client:

The organization operates in the technology and software development sector with a focus on providing advanced machine learning and data-driven solutions. It addresses challenges related to integrating and optimizing machine learning models within business and technical environments, supporting scalable and reusable ML capabilities. The program emphasizes collaboration across data engineering, development, and stakeholder teams to enhance predictive analytics and decision-making tools.

About the Opportunity:

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