AI - Machine Learning Software Engineer
December 6
AWS
Azure
Cassandra
Docker
ElasticSearch
GraphQL
JavaScript
Kafka
Kubernetes
Microservices
Node.js
NoSQL
Postgres
Prometheus
Python
RabbitMQ
SQL
Description
• Hands-on AI/ML software engineer that will apply AI to solutions in the learning space. • Prompt engineering and associated reliability. • Work with product owners and curators to understand requirements and guide new features. • Collaborate with team to design, develop, and maintain application systems utilizing AI. • Document designs and implementation to ensure consistency and alignment with standards. • Create documentation including system, APIs, data structures, and sequence diagrams. • Create appropriate data pipelines for AI/ML. • Analyze, curate, cleanse, and split data. • Utilize and apply generative AI within new products/features and for daily productivity. • Periodically explore new technologies and design patterns with proof-of-concept. • Participate in developing best practices and improving operational processes. • Present research and work to socialize and share knowledge across the organization.
Requirements
• Experience with generative AI and fine-tuning models (minimum of 5 years' experience and applicable degree). • Ability to design and document APIs, data models, service interactions • Prompt engineering • Familiarity with and ability to explain: • testing strategies – unit, integration, system • system and API security techniques • data privacy concerns • microservices architecture • vertical vs horizontal scaling • Generative AI, NLP, DNN, LLMs, auto-encoders, etc. • Chain-of-thought and reflexion
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