MLOps Engineer
Trunk ToolsFull Time
Junior (1 to 2 years)
Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, and have at least 7 years of experience in MLOps, with a strong focus on deploying and managing large language models (LLMs). Demonstrated experience with cloud platforms such as AWS, Azure, or GCP is essential, along with proficiency in containerization technologies like Docker and Kubernetes. Experience with CI/CD pipelines and automated testing is also required.
As a Senior MLOps Engineer at Cohere Health, you will be responsible for defining and implementing the overall MLOps strategy to support the deployment and scaling of ML models, leading the architectural design of ML infrastructure, and collaborating with leadership to align ML initiatives with business objectives. You will oversee the deployment, scaling, and optimization of LLMs, develop strategies to reduce latency and manage costs effectively, and stay updated on the latest advancements in LLMs. Furthermore, you will lead the development and improvement of core technology components, architect and build automated ML pipelines, implement robust CI/CD pipelines, establish monitoring systems, and proactively identify and resolve issues to maintain high availability and reliability of ML services.
Automates prior authorization in healthcare
Cohere Health improves the prior authorization process in healthcare, which requires providers to get approval from health plans before delivering certain services. Their platform, Cohere Unify, automates and streamlines these requests by integrating with electronic medical records and using technologies like optical character recognition and machine learning. This approach allows for faster decision-making and reduces delays in patient care. The goal is to make the prior authorization process more efficient, benefiting healthcare providers, health plans, and patients.