Machine Learning Engineer

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.