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ML Ops Engineer (Stealth Heretic PortCo)
Responsibilities
- Collaborate with cross-functional teams to deploy and maintain AI models in production environments, ensuring scalability, reliability, efficiency, and robustness
- Orchestrate model serving to accommodate our unique infrastructure in a scalable manner
- Maintain backend planning and optimize GPU capacity continuously
- Build tools for end-to-end ML model deployment and lifecycle management
- Build tools to monitor model performance
- Recommend options for end-to-end Ops pipelines that are needed to drive various business plans
- Stay up-to-date with the latest advancements in AI technologies and research, and apply them to enhance performance and capabilities
Qualifications
- Bachelor's or Master's degree in Computer Science, AI/ML, or a related field
- 2+ years of professional ML deployment experience on scale, preferably MLOps for LLMs and/or diffusion models
- 2+ years of experience with cloud platforms (e.g., AWS, Azure, OCI, Google Cloud) and experience with deploying AI models in cloud-based environments
- Proficiency in containerization technologies as Docker, inference servers as Triton and container orchestration platforms as Kubernetes
- Proven experience in working with and scaling GPUs
- Experience partnering with back-end & front-end eng to tie AI/ML infrastructure to a scaled front-end experience
- Strong knowledge of Python, with experience in popular machine learning libraries (e.g., TensorFlow, PyTorch, Spark)
- Solid understanding of machine learning concepts and algorithms.
- Extensive Linux troubleshooting experience
- Excellent problem-solving and analytical thinking skills, with a strong attention to detail
- Effective communication and teamwork abilities, with the capacity to work in a fast-paced, collaborative environment
Nice to Haves
- Experience working with Stable Diffusion models
- Contributions to open-source AI projects or publications in relevant conferences or journals
Is Kubernetes high demand?
Yes, Kubernetes is currently in high demand in the technology industry
Kubernetes is an open-source container orchestration platform that is widely used for deploying, scaling, and managing containerized applications
It provides a standardized way to manage and automate the deployment of containerized applications across multiple hosts and provides benefits such as reliability, scalability, and flexibility
As more and more organizations move towards containerized architectures, Kubernetes has become a critical component of their infrastructure
Kubernetes is used by companies of all sizes, from startups to large enterprises, and across various industries, including finance, healthcare, and e-commerce
According to various job market and salary surveys, Kubernetes-related skills are in high demand, and job positions related to Kubernetes are growing at a rapid pace
In fact, Kubernetes is often listed as one of the top skills that are in high demand by technology companies
Overall, Kubernetes is a highly sought-after skill in the technology industry, and it's likely to remain in high demand in the foreseeable future as more and more organizations adopt containerization and cloud-native architectures.