ML Platform Engineer - Remote Work | REF#299882
Indexed description
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
As an ML Platform Engineer, you will design and maintain the underlying infrastructure and tooling that powers machine learning lifecycles. You will provide a robust foundation for ML workflows, ensuring that teams can deploy and scale models with high reliability and efficiency.
What You'll Do
- Design, implement, and manage scalable ML infrastructure and orchestration using Kubernetes and Docker.
- Build and optimize automated CI/CD pipelines specifically tailored for machine learning model training and deployment.
- Develop and maintain robust model serving solutions using frameworks like TorchServe, Triton, SageMaker, or KServe.
- Implement comprehensive model monitoring and observability tools to track performance, drift, and system health.
- Collaborate with data scientists to abstract infrastructure complexities and provide self-service platform tooling.
- 4+ years of experience in Platform Engineering, Machine Learning Engineering, or DevOps.
- Proven expertise in managing ML infrastructure using Kubernetes and Docker.
- Hands-on experience with ML serving frameworks such as TorchServe, Triton, or SageMaker.
- Proficiency in building CI/CD pipelines tailored for machine learning workflows.
- Strong knowledge of model monitoring and observability tools for production ML systems.
- Advanced proficiency in English.
- 100% remote work (from anywhere).
- Excellent compensation in USD or your local currency if preferred
- Hardware and software setup for you to work from home.
- Flexible hours: create your own schedule.
- Paid parental leaves, vacations, and national holidays.
- Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
- Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
Apply now!
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