Forward Deployed Engineer - Architect
DevRev- Full Time
- Junior (1 to 2 years)
Candidates must possess a Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. A minimum of 3 years of professional work experience in a fast-paced, high-growth environment is required. Proficiency in one or more general-purpose programming languages, particularly Python, is essential. Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment is necessary, along with strong communication skills for discussing complex technical topics. Experience in building or optimizing AI/ML projects is highly valued.
The Forward-Deployed Engineer will develop and maintain software systems in a production-level environment, primarily using Python. They will collaborate with cross-functional teams to implement AI/ML pipelines, communicate complex technical topics clearly to stakeholders, and optimize AI/ML projects for continuous improvement. This role involves owning products and projects end-to-end, navigating ambiguity, exercising good judgment on tradeoffs, and demonstrating accountability for their work.
Platform for deploying and managing ML models
Baseten provides a platform for deploying and managing machine learning (ML) models, aimed at simplifying the process for businesses. Users can select from a library of open-source foundation models and deploy them with just two clicks, making it easier to implement ML solutions. The platform features autoscaling, which adjusts resources based on demand, and comprehensive monitoring tools for tracking performance and troubleshooting. A key differentiator is Baseten's open-source model packaging framework, Truss, which allows users to package and deploy custom models easily. The company operates on a usage-based pricing model, where clients pay only for the time their models are actively deployed, helping them manage costs effectively.