Note: The job is a remote job and is open to candidates in USA. Intone is seeking a talented and motivated Machine Learning Engineer to join their team on a high-impact project. The role involves building, optimizing, and maintaining scalable machine learning systems while collaborating with cross-functional teams to deliver results under tight deadlines.
Responsibilities
- Design, develop, and productionize robust machine learning pipelines in a fast-paced environment
- Collaborate closely with data scientists, engineers, and cross-functional teams to translate models into reliable, scalable production systems
- Own end-to-end aspects of the ML lifecycle, including data ingestion, feature engineering, model training, deployment, monitoring, and iteration
- Implement and maintain CI/CD workflows for ML systems to ensure rapid, reliable releases
- Troubleshoot and optimize complex pipeline issues to meet aggressive timelines
- Contribute to a positive, high-performing team culture through clear communication, knowledge sharing, and proactive problem-solving
Skills
- Strong Python expertise with hands-on experience building production-grade ML applications
- Proven ability to work effectively in a team setting with tight deadlines and complex technical challenges
- Solid understanding of machine learning operations (MLOps) best practices
- Experience with containerization using Docker
- Proficiency with Git and version control workflows, including GitHub Actions
- Strong problem-solving skills and a collaborative, team-first mindset
- 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
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