Responsibilities
Influence the roadmap and development of applications and pipelinesDeploy and maintain performant AI/ML servicesDesign, develop, deploy and maintain high-quality code following engineering and testing best practicesWork with data scientists, product engineers and users to enable new AI capabilities Requirements (Minimum Qualifications)
Degree in quantitative field (e.g. Engineering, Computer Science, Mathematics, Physics etc) and 3 or more years of relevant work experienceProficiency in Python, Java or similar programming languagesPractical experience with databases such as RDBMS, NoSQL, vector scoresExperience in software deployment, including with tools for CI/CD and other deployment processesFamiliarity with containerization and container orchestration platforms (e.g. Docker, Kubernetes)Good understanding of domain-driven design, microservice patterns and service-oriented architectures Technical leadership experience such as mentoring other engineers or driving collaborations with other engineering teamsNice to haves
Experience with Python web frameworks (e.g. Flask, FastAPI)Experience in designing and maintaining data pipelines with high reliability/throughput requirementsExperience with deploying and maintaining AI/ML services (e.g. deploying LLM services via vLLM) for high reliability/throughput use cases