MLOps Engineer - AI
Level AI is a Series B funded Mountain View, CA-based startup innovating in the Voice AI space. We are backed by top VCs, technologists from Silicon Valley, and industry experts. We are on a mission to revolutionize the customer sales experience for businesses. We are innovating in speech AI, NLP/NLU, and information retrieval systems to bring customers and businesses closer to one another.
As a critical member of the team, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us.
Role and responsibilities :
- Create and develop ML Operations Pipelines which allow for controlled and continuous enhancement of existing and new ML features and training pipelines.
- Design, build, and develop state of art machine Learning system infrastructure core components and architect platforms to create, train and deploy ML models.
- Automate the operational support for model training and model serving pipelines.
- Build operating dashboards and charts to track system errors, performance and enable root cause analysis.
- Identify gaps and evaluate relevant tools and technologies as needed to improve processes and systems, leveraging open-source and cloud computing technologies to build effective solutions.
- Collaborate with the AI team to drive ML projects from conception to completion and production monitoring.
Requirements :
- Bachelors in Computer Science or related fields.
- Minimum 2 years experience in DevOps role combined with developing deployment/serving pipelines and orchestrating the deployment of ML models for production grade systems.
- Minimum 1 year experience in Kubernetes, Docker, CI/CD tools, Prometheus, preferably working with ML models.
- Minimum 1 year of experience with ML Operations tools such as KubeFlow, MLFlow, Metaflow, or Sagemaker.
- Experience with Triton inference server, SeldonCore, K-Serve and related tool stack is a huge bonus.
- Demonstrated experience serializing/exporting and serving deep learning models at scale, and deploying using modern ML platforms.
- Strong troubleshooting skills to keep our ML models highly available.
- You have a passion for learning and adopting new technologies with a focus on finding the right tool for the job, and a sense of ownership of your work.
- Self-starter with excellent verbal and written communication and presentation skills.
To learn more visit : https://thelevel.ai/
Funding : https://www.crunchbase.com/organization/level-ai
LinkedIn : https://www.linkedin.com/company/level-ai/