
AI Innovation Specialist
11 hours ago
We are seeking a skilled AI exploration engineer to design and execute machine learning experiments, prototype end-to-end AI solutions, and formulate hypotheses for technical decision-making.
Key ResponsibilitiesDesign and Execute Machine Learning Experiments: Design and execute machine learning experiments to evaluate emerging AI technologies and frameworks. Prototype and assess end-to-end AI solutions to inform product and platform strategy.
Formulate Hypotheses and Conduct Evaluations: Formulate hypotheses and conduct structured evaluations to compare technical approaches.
Apply Modern ML Engineering Practices: Apply modern ML engineering practices to build and test scalable, modular proof-of-concept systems.
Communicate Technical Findings: Synthesize and communicate experimental results to guide investment and adoption decisions.
Required Skills and QualificationsEducation: Bachelor's degree in computer science, data science, information technology, statistics, economics, or a related STEM field.
Experience: 3+ years of experience building machine learning-powered applications or tooling.
Technical Skills: Strong proficiency in Python and familiarity with modern ML/AI libraries (e.g., PyTorch, Hugging Face, OpenAI SDKs).
Cloud Experience: Experience working with LLM orchestration or agent frameworks and developing and deploying applications in cloud environments (e.g., AWS, GCP, or Azure), including use of Docker and/or Kubernetes.
BenefitsThis role offers the opportunity to work on cutting-edge AI projects, contribute to the definition of best practices for experimentation, evaluation, and technical decision-making, and operate independently while contributing to a highly collaborative team environment.
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