Mar 19
As an AI/ML Engineer, you are developing your talents at the nexus of artificial intelligence, machine learning, and software engineering. In addition to intelligent abstractions and APIs, you will contribute to data-centric backend services and interactive experiences like interpretive tools and conversational agents.
Code data-intensive software and algorithms
Leverage platforms for driving intelligent decisions, interacting with machine learning models, and powering interactions such as conversational interfaces
Collaborate with data scientists, data engineers, data analysts, software engineers, IT specialists, and stakeholders to expand effective use of AI applications
Research and prove out new approaches and algorithms through prototypes
2+ years of professional experience building data-centric software, as a machine learning engineer, AI specialist, software-focused data scientist, or similar
Track record as an engineer building for production, ideally with machine learning algorithms (typically Python), logic and platform services (especially in functional languages such as Clojure), and intelligent systems
Demonstrated ability to interface data repositories / caches / pipelines, message queues, ML models, LLMs, and other services in cloud environments, especially AWS
Experience with LLMs, prompt engineering, agent building, and vector databases
Skill collaborating using cloud-based tooling, git, notebook systems, and ML workflows
A strong contender will also demonstrate abilities to:
Write clean code and data structures
Adeptly use algorithms and approaches in AI, machine learning, and NLP
Learn emerging techniques
Participate in team workflows and MLOps
Have productive interactions that lift the team and stakeholders
Beyond the technical skills, we’re looking for individuals who are:
Clear communicators (verbal and written)
Able to synthesize patterns and useful abstractions
Conversant in underlying data structures, math, and algorithms
Productive in a dynamic setting