Job Description
The role involves developing and maintaining scalable machine learning infrastructure and applications to enhance the safety, efficiency, and sustainability of physical operations across various industries, working closely with cross-functional teams and leveraging advanced ML technologies.
Key Responsibilities
- Design and implement scalable machine learning infrastructure using Ray for model training, deployment, and inference.
- Leverage Kubernetes for orchestration of containerized ML applications and services.
- Develop and maintain CI/CD pipelines for automated testing, deployment, and management of ML applications.
- Implement monitoring, logging, and alerting systems to ensure high availability and performance of the ML platform.
- Collaborate with data scientists and ML engineers to optimize data pipelines and model performance.
- Provide DevOps SRE support, including incident response, performance tuning, and disaster recovery planning.
Requirements
- Minimum requirements for the role BS or MS in Computer Science or other relevant field.
- 6 years of experience as a Machine Learning Engineer, Applied Scientist, or similar role.
- Strong proficiency in one or more common programming languages such as C, Golang, Java, Python, or Scala.
- Proficiency with common ML tools such as Spark, TensorFlow, or PyTorch.
- Experience deploying and iteratively refining models using customer feedback loops.
- Comfortable with full-stack backend development code to build a strong understanding of underlying data structures and other dependencies.
- Experience building, deploying, and optimizing ML models on the edge.
- Experience building end-to-end ML applications from scratch.
- Expertise in optimizing distributed model training with GPUs.
Benefits & Perks
Competitive total compensation package including base salary, bonus, and RSUs
Remote and flexible working options
Health benefits
Employee-led remote work support
Inclusive work environment with accommodations for persons with disabilities
Ready to Apply?
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