Ai exploration engineer

## Essential Duties- 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 structured evaluations to compare technical approaches.- Apply modern ML engineering practices to build and test scalable, modular proof-of-concept systems.- Contribute to the definition of best practices for experimentation, evaluation, and technical decision-making.- Synthesize and communicate experimental results to guide investment and adoption decisions.- Translate new research ideas and tools into functional, decision-relevant demonstrations.- Operate independently while contributing to a highly collaborative team environment.- Communicate technical findings clearly and concisely to both technical and non-technical audiences.## Minimum Qualifications- Bachelor’s degree in computer science, data science, information technology, statistics, economics, or a related STEM field.- 3+ years of experience building machine learning-powered applications or tooling.- Strong proficiency in Python and familiarity with modern ML / AI libraries (e.g., Py Torch, Hugging Face, Open AI SDKs).- Experience working with LLM orchestration or agent frameworks.- Understanding of model tuning, prompt engineering, or retrieval-augmented generation (RAG) patterns.- Experience developing and deploying applications in cloud environments (e.g., AWS, GCP, or Azure), including use of Docker and / or Kubernetes.- Demonstrated ability to independently prototype, test, and iterate on technical ideas.- Familiarity with ML evaluation techniques and structured experimentation workflows.- Proficiency with version control systems, CI / CD practices, and ML observability tools.