Machine Learning Engineer

Join Intone Networks in a remote capacity and collaborate with a distributed team to design, optimize, and sustain scalable ML pipelines. In this role you will partner with data scientists, engineers, and cross-functional colleagues to deploy production-grade models with robust CI/CD, while fostering a culture of collaboration and continuous improvement.

Responsibilities

• Architect and productionize robust machine learning pipelines in a fast-moving environment.
• Collaborate with data scientists, software engineers, and cross-functional partners to translate research models into dependable production systems.
• Own the full ML lifecycle from data ingestion and feature engineering to training, deployment, monitoring, and iterative refinement.
• Establish and sustain CI/CD workflows for ML applications to enable rapid, reliable releases.
• Diagnose and optimize complex pipeline issues to meet tight timelines.
• Foster a positive, high-performing team culture through clear communication, knowledge sharing, and proactive problem-solving.

Requirements

• Proven Python expertise with hands-on experience building production-grade ML applications.
• Demonstrated ability to collaborate effectively in team settings with tight deadlines and complex technical challenges.
• Solid understanding of MLOps best practices.
• Experience containerizing applications with Docker.
• Proficiency with Git and version-control workflows, including GitHub Actions.
• Strong problem-solving skills and a collaborative, team-first mindset.

Technologies

• Python
• Docker
• Git
• GitHub Actions
• Kubeflow
• Snowflake
• Datadog
• Windsurf
• Devin
• Cursor
• Claude Code

Preferred Qualifications

• Hands-on experience with Kubeflow for orchestrating ML workflows.
• Familiarity with Snowflake for data warehousing and analytics.
• Experience with observability and monitoring tools, particularly Datadog.
• Background in building and managing CI/CD pipelines for ML or data systems.
• Experience using AI-assisted development tools such as Windsurf, Devin, Cursor, or Claude Code to accelerate development.