Machine Learning Engineer

Sorry, this job was removed at 06:09 p.m. (CST) on Monday, Sep 08, 2025
Hiring Remotely in USA
Remote
145K-175K Annually
Artificial Intelligence • Software
The Role

About Sellfire

Sellfire is the #1 solution for high-velocity sales. We unlock consistently great performance for results-driven leaders at companies of all sizes. Are you interested in working with team on a mission to help customers put coins into a predictable machine and get dollars out?

We are a team of experienced CEOs, CROs, operators and technologists who live and breathe high-velocity sales. The way we work is guided by our values: Here to win championships, Have your back, Elevate your game.

About the Role

We are seeking a Machine Learning Engineer ****who is passionate about deploying impactful machine learning solutions at scale. In this role, you will focus on building, integrating, and optimizing ML systems in production environments. You will play a key part in shaping the technical direction of our data and ML platform and ensuring that our solutions deliver real business value to our customers

Key Responsibilities

  • Deploy, monitor, and maintain machine learning models in production environments.

  • Collaborate with product and platform engineering teams to develop prototypes and scale them into robust, scalable solutions.

  • Develop automation pipelines for continuous integration and delivery of ML solutions.

  • Troubleshoot and resolve issues in deployed ML systems to ensure reliability and performance.

  • Contribute to architectural decisions and help define best practices for ML deployment.

  • Stay up to date with industry trends in ML operations and deployment technologies.

Background and Experience

  • 3+ years successfully deploying and maintaining machine learning models in production.

  • 5+ years of combined professional experience in ML/AI and software engineering

  • Experience with NLP solutions strongly preferred.

  • Proficiency with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and data technologies (data lake, data warehouse).

  • Familiarity with ML development and deployment tools and frameworks.

  • Solid programming skills in Python and experience with CI/CD pipelines.

  • Excellent problem-solving abilities and a passion for delivering impactful solutions.

  • Strong communication skills and a collaborative mindset.

  • Experience influencing technical direction or contributing to architectural decisions is a plus.

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The Company
24 Employees

What We Do

We solve high velocity sales through a unique combination of coaching, software, and AI.

Platform: An all-in-one software purpose built to support the entire high velocity sales motion.

Coaching: Our world-class coaches embed our proven playbook into your team.

AI: We curate and integrate the best AI tools so you don't have to.

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